Abdukodir Khakimov - Academia.edu (original) (raw)

Papers by Abdukodir Khakimov

Research paper thumbnail of A Study of the V2X Multiservice Applications

Электросвязь, Jul 15, 2021

Рассмотрены преимущества использования оркестрации для управления ресурсами автономных транспортн... more Рассмотрены преимущества использования оркестрации для управления ресурсами автономных транспортных средств, по сравнению с существующим подходом к проектированию сетей с высокой нагрузкой. В качестве архитектуры для построения сети передачи данных использованы такие гибридные технологии, как подключение узла прямого доступа через стационарные точки и обмен данных межмашинного взаимодействия. Разработан стенд-эмулятор радиоканалов для моделирования влияния интерференции от соседних узлов и выгрузки приложений на граничные вычислительные узлы. This article discusses the advantages of using orchestration to manage autonomous vehicle resources compared to the current design approach for high-load networks. As an architecture for building a data transmission network, hybrid technologies such as the connection of a direct access node through fixed points and exchanging machine-to-machine communication data are used. A radio channel emulator stand was developed to simulate the effect of interference from neighboring nodes and offload applications to edge computing nodes.

Research paper thumbnail of Development of an Intelligent System for Managing Edge Computing

Электросвязь, 2021

Рассмотрена возможность размещения интернет-сервисов как на удаленных облаках, так и на распредел... more Рассмотрена возможность размещения интернет-сервисов как на удаленных облаках, так и на распределенных граничных вычислительных системах. Предложена динамическая топология сети и размещения сервисов в граничных вычислительных системах с использованием генетического алгоритма для анализа и прогнозирования трафика сервисов. Представлены эффективные методы прогнозирования и предиктивной миграции сервисов для граничных вычислительных систем. Проанализированы проблемы построения высоконагруженных сетей и метода их решения путем выгрузки сервисов на граничные периферийные устройства. Предложена модель взаимодействий оператора сети и сторонних сервис-провайдеров для оптимальной выгрузки услуг. Показано, что эффективность сетевого оборудования может быть увеличена более чем на 30%. The possibility of hosting Internet services both in remote clouds and in distributed edge computing systems is considered. Dynamic network topology and placement of services in edge computing systems using a gen...

Research paper thumbnail of Empirical blockage characterization and detection in indoor sub-THz communications

Research paper thumbnail of Development and analysis of models for service migration to the MEC server based on hysteresis approach

Discrete and Continuous Models and Applied Computational Science

Online video services are among the most popular ways of content consumption. Video hosting serve... more Online video services are among the most popular ways of content consumption. Video hosting servers have a very high load every day, which we propose to reduce by migrating the application with the video content in demand to the local Multi-access Edge Computing (MEC) server of the target. This makes it possible to improve the quality of services (QoS) provided to users by reducing the transmission delay. Therefore, an architecture has been proposed that allows, at times of increased demand for the same video content, to migrate the video service application to the edge servers of the network operator. To evaluate the performance of this approach, a mathematical model was developed in the form of a queuing system. The results of the numerical experiment make it possible to optimize the time of using local MEC servers to provide video content.

Research paper thumbnail of Non-Invasive Early Diagnosis of Obstructive Lung Diseases Leveraging Machine Learning Algorithms

Computers, Materials & Continua

Lungs are a vital human body organ, and different Obstructive Lung Diseases (OLD) such as asthma,... more Lungs are a vital human body organ, and different Obstructive Lung Diseases (OLD) such as asthma, bronchitis, or lung cancer are caused by shortcomings within the lungs. Therefore, early diagnosis of OLD is crucial for such patients suffering from OLD since, after early diagnosis, breathing exercises and medical precautions can effectively improve their health state. A secure non-invasive early diagnosis of OLD is a primordial need, and in this context, digital image processing supported by Artificial Intelligence (AI) techniques is reliable and widely used in the medical field, especially for improving early disease diagnosis. Hence, this article presents an AIbased non-invasive and secured diagnosis for OLD using physiological and iris features. This research work implements different machine-learning-based techniques which classify various subjects, which are healthy and effective patients. The iris features include gray-level run-length matrix-based features, gray-level co-occurrence matrix, and statistical features. These features are extracted from iris images. Additionally, ten different classifiers and voting techniques, including hard and soft voting, are implemented and tested, and their performances are evaluated using several parameters, which are precision, accuracy, specificity, F-score, and sensitivity. Based on the statistical analysis, it is concluded that the proposed approach offers promising techniques for the non-invasive early diagnosis of OLD with an accuracy of 97.6%.

Research paper thumbnail of To analysis of a two-buffer queuing system with cross-type service and additional penalties

Discrete and Continuous Models and Applied Computational Science, 2021

The concept of cloud computing was created to better preserve user privacy and data storage secur... more The concept of cloud computing was created to better preserve user privacy and data storage security. However, the resources allocated for processing this data must be optimally allocated. The problem of optimal resource management in the loud computing environment is described in many scientific publications. To solve the problems of optimality of the distribution of resources of systems, you can use the construction and analysis of QS. We conduct an analysis of two-buffer queuing system with cross-type service and additional penalties, based on the literature reviewed in the article. This allows us to assess how suitable the model presented in the article is for application to cloud computing. For a given system different options for selecting applications from queues are possible, queue numbers, therefore, the intensities of transitions between the states of the system will change. For this, the system has a choice policy that allows the system to decide how to behave depending o...

Research paper thumbnail of Detecting and Preventing False Nodes and Messages in Vehicular Ad-Hoc Networking (VANET)

IEEE Access

Vehicular ad-hoc network (VANET) is an advanced mobile wireless network. The escalation of equipp... more Vehicular ad-hoc network (VANET) is an advanced mobile wireless network. The escalation of equipped vehicles on the road grabs the attention of researchers and is constantly striving to take it further. This type of wireless network infrastructure helps to establish communication between vehicles. Roadside units, sensors, and vehicular nodes are the critical components of our work to protect the vehicular network. This research is focused on detecting and preventing fake vehicular nodes and their messages by applying fake node detection and prevention algorithms and counterfeit message detection and prevention algorithms. In our proposed approach, the fake node detection and prevention algorithms check the node profile after establishing the mesh structure. If the profile attribute named ''Pen/Rew'' satisfies the condition that should be less than or equal to a threshold value (zero), the fake message detection and prevention process starts. The message will be accepted once the situation is satisfied; otherwise, it is declared fake. We utilized ONE (opportunistic network environment) simulator to generate node movement models, route messages between nodes, and visualize mobility and messaging passing in real time. The results indicated that our proposed work perfectly detects and prevents fake nodes and messages.

Research paper thumbnail of Spatio-Temporal Coherence of mmWave/THz Channel Characteristics and Their Forecasting Using Video Frame Prediction Techniques

Mathematics

Channel state information in millimeter wave (mmWave) and terahertz (THz) communications systems ... more Channel state information in millimeter wave (mmWave) and terahertz (THz) communications systems is vital for various tasks ranging from planning the optimal locations of BSs to efficient beam tracking mechanisms to handover design. Due to the use of large-scale phased antenna arrays and high sensitivity to environmental geometry and materials, precise propagation models for these bands are obtained via ray-tracing modeling. However, the propagation conditions in mmWave/THz systems may theoretically change at very small distances, that is, 1 mm–1 μm, which requires extreme computational effort for modeling. In this paper, we first will assess the effective correlation distances in mmWave/THz systems for different outdoor scenarios, user mobility patterns, and line-of-sight (LoS) and non-LoS (nLoS) conditions. As the metrics of interest, we utilize the angle of arrival/departure (AoA/AoD) and path loss of the first few strongest rays. Then, to reduce the computational efforts require...

Research paper thumbnail of Enhanced Slime Mould Optimization with Deep-Learning-Based Resource Allocation in UAV-Enabled Wireless Networks

Sensors

Unmanned aerial vehicle (UAV) networks offer a wide range of applications in an overload situatio... more Unmanned aerial vehicle (UAV) networks offer a wide range of applications in an overload situation, broadcasting and advertising, public safety, disaster management, etc. Providing robust communication services to mobile users (MUs) is a challenging task because of the dynamic characteristics of MUs. Resource allocation, including subchannels, transmit power, and serving users, is a critical transmission problem; further, it is also crucial to improve the coverage and energy efficacy of UAV-assisted transmission networks. This paper presents an Enhanced Slime Mould Optimization with Deep-Learning-based Resource Allocation Approach (ESMOML-RAA) in UAV-enabled wireless networks. The presented ESMOML-RAA technique aims to efficiently accomplish computationally and energy-effective decisions. In addition, the ESMOML-RAA technique considers a UAV as a learning agent with the formation of a resource assignment decision as an action and designs a reward function with the intention of the m...

Research paper thumbnail of Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

Computer Systems Science and Engineering

Next-generation cellular networks are expected to provide users with innovative gigabits and tera... more Next-generation cellular networks are expected to provide users with innovative gigabits and terabits per second speeds and achieve ultra-high reliability, availability, and ultra-low latency. The requirements of such networks are the main challenges that can be handled using a range of recent technologies, including multi-access edge computing (MEC), artificial intelligence (AI), millimeterwave communications (mmWave), and software-defined networking. Many aspects and design challenges associated with the MEC-based 5G/6G networks should be solved to ensure the required quality of service (QoS). This article considers developing a complex MEC structure for fifth and sixth-generation (5G/6G) cellular networks. Furthermore, we propose a seamless migration technique for complex edge computing structures. The developed migration scheme enables services to adapt to the required load on the radio channels. The proposed algorithm is analyzed for various use cases, and a test bench has been developed to emulate the operator's infrastructure. The obtained results are introduced and discussed.

Research paper thumbnail of Exploring a Model Network for Orchestation IoT Services Based on Kubernetes

Telecom IT, 2020

This paper focuses on the implementation of the concept of microservices, which can be used to de... more This paper focuses on the implementation of the concept of microservices, which can be used to design and implement distributed edge services for IoT applications. Basically, IoT is a platform where integrat-ed services are connected to a common network, so all devices are able to collect and exchange data with each other. Typically, monolithic user mobility services are developed for the core components of the ETSI MEC Unified Systems Reference Architecture. The ETSI MEC views microservices as a tool for separating monolithic applications into a set of loosely coupled distributed components, i.e. which provides an independent unit that implements a function. This architecture is expected to facilitate dynamic adaptation at runtime. However, increased modularity can also increase the load on orchestration and system management. In MEC, user equipment is connected through gate-ways to microservices running at the edge node. In the work, a distributed service is implemented using Dock...

Research paper thumbnail of ARDefense: DDoS detection and prevention using NFV and SDN

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Network Function Virtualization or NFV gives numerous advantages over the conventional networking... more Network Function Virtualization or NFV gives numerous advantages over the conventional networking techniques by incorporating distinctive features of a network over the virtual machine (VM). It decreases capital and operational costs to give more noteworthy adaptability and flexibility. But all of these advantages come at the expense of the intrinsic system vulnerabilities because of specific sorts of cyber attacks like the Distributed Denial of Service (DDoS) attack. With the increased number of layers in NFV, it becomes easier for an attacker to execute DDoS attack. This study indicates a new model for mitigating the effects of DDoS attacks on NFV. The model has been designed specifically for the individual users especially gamers and online streamers who become victim of DDoS attack on adaily basis. However, the method can be used for a online service like a website in general as well after making certain changes which have been discussed in detail. ARDefense usually performs server migration and IP spoofing when it detects a DDoS attack on the application layer. Effectiveness of ARDefense was tested by measuring load migration and IP spoofing processing time.

Research paper thumbnail of IoT-fog based system structure with SDN enabled

Proceedings of the 2nd International Conference on Future Networks and Distributed Systems

IoT is a new communication paradigm that gains a very high importance in the past few years. Fog ... more IoT is a new communication paradigm that gains a very high importance in the past few years. Fog computing is a form of edge computing that is developed to provide the computing, storage and management capabilities near to users. Employing Fog computing in IoT networks as an intermediate layer between IoT devices and the remote cloud becomes a demand to make use of the edge computing benefits. In this work, we provide a framework for IoT system structure that employs an edge computing layer of Fog nodes. The system employs SDN network with a centralized controller and distributed OpenFlow switches; these switches are enabled with limited computing and processing capabilities. The network is operated based on a data offloading algorithm, that allocates certain processing and computing tasks to some OpenFlow switches that has unused resources. The proposed work achieves various benefits to the IoT network such as the latency reduction and higher efficiency of resources utilization. We perform an experiment over a developed testbed to validate the proposed system and results show that the proposed system achieves higher efficiency in terms of latency and resource utilization.

Research paper thumbnail of Mobile Edge Computing for Video Application Migration

Lecture Notes in Computer Science, 2019

Modern telecommunication networks show steady growth in the digital cable television and IPTV mar... more Modern telecommunication networks show steady growth in the digital cable television and IPTV market. In today’s telecommunication networks most of the services are related to transmission of video traffic. For client’s loyalty operators are busy looking for new video delivery optimization methods with the appropriate quality of experience. MEC or Mobile edge computing offers significant advantages for example, enabling operators to bring applications and content closer to the network edge i.e. close to the video content end consumer and other advantages. This is particularly interesting in video delivery, where latency negatively affect video quality. Users can receive video content with minimum delays and operators can realize operational and cost efficiencies while reducing network latency and, ultimately improving the end consumer’s quality of experience. In this paper, a video content application migration method using edge-computing technology is proposed. The proposed method is applied in a managed mode over a Software-Defined Networking (SDN); what improves the efficiency of video traffic delivery. A new concept “Exchange” is introduced for flexible and automated interaction between video delivery chain members, i.e. the network operator, the content provider and the end user.

Research paper thumbnail of Internet of Things Services Orchestration Framework Based on Kubernetes and Edge Computing

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), 2021

Presented work is fanalysis of how the microservices paradigm can be used to design and implement... more Presented work is fanalysis of how the microservices paradigm can be used to design and implement distributed edge services for Internet of Things (IoT) applications. Basically, IoT is a platform where integrated services are associated with the common network, thus all devices are able to gather and exchange data among each other. Typically, monolithic user mobility research services are developed for the unified ETSI MEC system reference architecture centers. ETSI MEC considers microservices as a tool for breaking monolithic applications into a set of loosely coupled distributed components. It is expected that this architecture will facilitate the dynamic adaptation during the application execution. However, increased modularity can also increase the burden on orchestration and system management. In MEC, user hardware is connected through gateways to microservices running on the edge host.There are three levels in each of the edge systems: 1) microservices perform a logical operation with components for motion track analysis, 2) movement foresight and 3) outcome visualization. The distributed service is realized with Docker containers and calculated on actual world adjustment with low capacity edge servers and real user mobility information. The results demonstrate the fact that the edge perspective of low latency may be encountered in this sort of implementation. The integration of a software creation technology with a standardized edge system supplies respectable basis for subsequent development. The paper considers the application of the boundary computing architecture and Kubernetes as an orchestration and management of network applications.

Research paper thumbnail of Enabling M2M Communication Through MEC and SDN

Developments in Language Theory, 2018

Machine-to-Machine (M2M) traffic is growing fast on the Internet, this trend is manifested in the... more Machine-to-Machine (M2M) traffic is growing fast on the Internet, this trend is manifested in the congestion of networks at different levels. The edge cloud unit is used for reducing number of intermediate nodes involved in the communication process and for offloading. The offloading can be seen as three parts. The first is the base station (BS) offloading, as the cloud unit helps the BS in some tasks related to call imitation such as resource allocations. The second is the workload passed from sensor nodes which represents the M2M traffic offloading and the third part is the cellular data offloading. In this paper, we propose an algorithm for offloading the core network using mobile edge computing, which allow devices to exchange traffic with the nearest mobile edge computing for improving QoS and offload channels in the core of the network.

Research paper thumbnail of Development of intelligent street lighting services model based on LoRa technology

2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2018

The Internet of things brings to life a new set of services that can be deployed on the mobile ne... more The Internet of things brings to life a new set of services that can be deployed on the mobile network operator and offered to the end user, for example, services such as: tactile Internet, augmented reality, virtual reality, medical networks, weather forecasting, smart homes and smart cities, completely automated cities with smart self-learning algorithms for managing everything. This paper considers the possibility of implementing services of the “Smart City” concept. Based on the experience of other cities, we can conclude that the most interesting and popular will be the implementation of intelligent street lighting, that allows the municipality to save budget funds, spent on street lighting in the city. For implementing this service, using a standardized wireless technology for building a physical network and a unified service model, in future it will be possible with minimal investment to increase the number of services, adding, for example, air pollution analysis, or “smart” waste containers. In this paper we analyze wireless technologies with low power consumption and long range. Based on the analysis was chosen the best technology, which can be used in smart city to provide a “smart street lighting” service. In results model for providing “smart street lighting” service was developed, which includes equipment, the scheme of the overall network organization, as well as its logical implementation in a unified service model, and also in this work we tested the network segment built using the selected wireless technology LoRa.

Research paper thumbnail of Development of intelligent street lighting services model based on LoRa technology

2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2018

The Internet of things brings to life a new set of services that can be deployed on the mobile ne... more The Internet of things brings to life a new set of services that can be deployed on the mobile network operator and offered to the end user, for example, services such as: tactile Internet, augmented reality, virtual reality, medical networks, weather forecasting, smart homes and smart cities, completely automated cities with smart self-learning algorithms for managing everything. This paper considers the possibility of implementing services of the “Smart City” concept. Based on the experience of other cities, we can conclude that the most interesting and popular will be the implementation of intelligent street lighting, that allows the municipality to save budget funds, spent on street lighting in the city. For implementing this service, using a standardized wireless technology for building a physical network and a unified service model, in future it will be possible with minimal investment to increase the number of services, adding, for example, air pollution analysis, or “smart” waste containers. In this paper we analyze wireless technologies with low power consumption and long range. Based on the analysis was chosen the best technology, which can be used in smart city to provide a “smart street lighting” service. In results model for providing “smart street lighting” service was developed, which includes equipment, the scheme of the overall network organization, as well as its logical implementation in a unified service model, and also in this work we tested the network segment built using the selected wireless technology LoRa.

Research paper thumbnail of Investigation of methods for remote control IoT-devices based on cloud platforms and different interaction protocols

2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2017

Internet of Things (IoT) is a concept of communications between multiple devices equipped with se... more Internet of Things (IoT) is a concept of communications between multiple devices equipped with sensors and actuators for the purpose of convenience and economic benefits. In connection with the rapid development of IoT concept it becomes necessary to use those or other instruments for the control and management of IoT. Considered scenario is based on the interaction between the central element (smart home gateway), which ensures the connection of various sensors and actuators within a smart home. Management is carried out on the basis of specialized application. In this paper as a gateway uses single board computer Raspberry Pi 3 and the sensors and actuators communicate with the gateway using BLE — technology. We consider the operation of applications for remote management of the actuators and sensors using a proper framework AllJoyn. In conducting the study focuses on components of the framework AllJoyn: HTTP protocol, which is the most common in data exchange between smart home gateway and remote applications, MQTT protocol. During the testing of HTTP and MQTT protocols, realized as AllJoyn at the gateway threshold levels of operation have been received. Thus, the paper presents the results of complex testing fragment smart home network, the basic communication protocols and thresholds obtained their operation in conditions of high functional load.

Research paper thumbnail of Evaluating the Quality of Experience Performance Metric for UAV-Based Networks

Sensors, 2021

In this work, we consider a UAV-assisted cell in a single user scenario. We consider the Quality ... more In this work, we consider a UAV-assisted cell in a single user scenario. We consider the Quality of Experience (QoE) performance metric calculating it as a function of the packet loss ratio. In order to acquire this metric, a radio-channel emulation system was developed and tested under different conditions. The system consists of two independent blocks, separately emulating connections between the User Equipment (UE) and unmanned aerial vehicle (UAV) and between the UAV and Base station (BS). In order to estimate scenario usage constraints, an analytical model was developed. The results show that, in the described scenario, cell coverage can be enhanced with minimal impact on QoE.

Research paper thumbnail of A Study of the V2X Multiservice Applications

Электросвязь, Jul 15, 2021

Рассмотрены преимущества использования оркестрации для управления ресурсами автономных транспортн... more Рассмотрены преимущества использования оркестрации для управления ресурсами автономных транспортных средств, по сравнению с существующим подходом к проектированию сетей с высокой нагрузкой. В качестве архитектуры для построения сети передачи данных использованы такие гибридные технологии, как подключение узла прямого доступа через стационарные точки и обмен данных межмашинного взаимодействия. Разработан стенд-эмулятор радиоканалов для моделирования влияния интерференции от соседних узлов и выгрузки приложений на граничные вычислительные узлы. This article discusses the advantages of using orchestration to manage autonomous vehicle resources compared to the current design approach for high-load networks. As an architecture for building a data transmission network, hybrid technologies such as the connection of a direct access node through fixed points and exchanging machine-to-machine communication data are used. A radio channel emulator stand was developed to simulate the effect of interference from neighboring nodes and offload applications to edge computing nodes.

Research paper thumbnail of Development of an Intelligent System for Managing Edge Computing

Электросвязь, 2021

Рассмотрена возможность размещения интернет-сервисов как на удаленных облаках, так и на распредел... more Рассмотрена возможность размещения интернет-сервисов как на удаленных облаках, так и на распределенных граничных вычислительных системах. Предложена динамическая топология сети и размещения сервисов в граничных вычислительных системах с использованием генетического алгоритма для анализа и прогнозирования трафика сервисов. Представлены эффективные методы прогнозирования и предиктивной миграции сервисов для граничных вычислительных систем. Проанализированы проблемы построения высоконагруженных сетей и метода их решения путем выгрузки сервисов на граничные периферийные устройства. Предложена модель взаимодействий оператора сети и сторонних сервис-провайдеров для оптимальной выгрузки услуг. Показано, что эффективность сетевого оборудования может быть увеличена более чем на 30%. The possibility of hosting Internet services both in remote clouds and in distributed edge computing systems is considered. Dynamic network topology and placement of services in edge computing systems using a gen...

Research paper thumbnail of Empirical blockage characterization and detection in indoor sub-THz communications

Research paper thumbnail of Development and analysis of models for service migration to the MEC server based on hysteresis approach

Discrete and Continuous Models and Applied Computational Science

Online video services are among the most popular ways of content consumption. Video hosting serve... more Online video services are among the most popular ways of content consumption. Video hosting servers have a very high load every day, which we propose to reduce by migrating the application with the video content in demand to the local Multi-access Edge Computing (MEC) server of the target. This makes it possible to improve the quality of services (QoS) provided to users by reducing the transmission delay. Therefore, an architecture has been proposed that allows, at times of increased demand for the same video content, to migrate the video service application to the edge servers of the network operator. To evaluate the performance of this approach, a mathematical model was developed in the form of a queuing system. The results of the numerical experiment make it possible to optimize the time of using local MEC servers to provide video content.

Research paper thumbnail of Non-Invasive Early Diagnosis of Obstructive Lung Diseases Leveraging Machine Learning Algorithms

Computers, Materials & Continua

Lungs are a vital human body organ, and different Obstructive Lung Diseases (OLD) such as asthma,... more Lungs are a vital human body organ, and different Obstructive Lung Diseases (OLD) such as asthma, bronchitis, or lung cancer are caused by shortcomings within the lungs. Therefore, early diagnosis of OLD is crucial for such patients suffering from OLD since, after early diagnosis, breathing exercises and medical precautions can effectively improve their health state. A secure non-invasive early diagnosis of OLD is a primordial need, and in this context, digital image processing supported by Artificial Intelligence (AI) techniques is reliable and widely used in the medical field, especially for improving early disease diagnosis. Hence, this article presents an AIbased non-invasive and secured diagnosis for OLD using physiological and iris features. This research work implements different machine-learning-based techniques which classify various subjects, which are healthy and effective patients. The iris features include gray-level run-length matrix-based features, gray-level co-occurrence matrix, and statistical features. These features are extracted from iris images. Additionally, ten different classifiers and voting techniques, including hard and soft voting, are implemented and tested, and their performances are evaluated using several parameters, which are precision, accuracy, specificity, F-score, and sensitivity. Based on the statistical analysis, it is concluded that the proposed approach offers promising techniques for the non-invasive early diagnosis of OLD with an accuracy of 97.6%.

Research paper thumbnail of To analysis of a two-buffer queuing system with cross-type service and additional penalties

Discrete and Continuous Models and Applied Computational Science, 2021

The concept of cloud computing was created to better preserve user privacy and data storage secur... more The concept of cloud computing was created to better preserve user privacy and data storage security. However, the resources allocated for processing this data must be optimally allocated. The problem of optimal resource management in the loud computing environment is described in many scientific publications. To solve the problems of optimality of the distribution of resources of systems, you can use the construction and analysis of QS. We conduct an analysis of two-buffer queuing system with cross-type service and additional penalties, based on the literature reviewed in the article. This allows us to assess how suitable the model presented in the article is for application to cloud computing. For a given system different options for selecting applications from queues are possible, queue numbers, therefore, the intensities of transitions between the states of the system will change. For this, the system has a choice policy that allows the system to decide how to behave depending o...

Research paper thumbnail of Detecting and Preventing False Nodes and Messages in Vehicular Ad-Hoc Networking (VANET)

IEEE Access

Vehicular ad-hoc network (VANET) is an advanced mobile wireless network. The escalation of equipp... more Vehicular ad-hoc network (VANET) is an advanced mobile wireless network. The escalation of equipped vehicles on the road grabs the attention of researchers and is constantly striving to take it further. This type of wireless network infrastructure helps to establish communication between vehicles. Roadside units, sensors, and vehicular nodes are the critical components of our work to protect the vehicular network. This research is focused on detecting and preventing fake vehicular nodes and their messages by applying fake node detection and prevention algorithms and counterfeit message detection and prevention algorithms. In our proposed approach, the fake node detection and prevention algorithms check the node profile after establishing the mesh structure. If the profile attribute named ''Pen/Rew'' satisfies the condition that should be less than or equal to a threshold value (zero), the fake message detection and prevention process starts. The message will be accepted once the situation is satisfied; otherwise, it is declared fake. We utilized ONE (opportunistic network environment) simulator to generate node movement models, route messages between nodes, and visualize mobility and messaging passing in real time. The results indicated that our proposed work perfectly detects and prevents fake nodes and messages.

Research paper thumbnail of Spatio-Temporal Coherence of mmWave/THz Channel Characteristics and Their Forecasting Using Video Frame Prediction Techniques

Mathematics

Channel state information in millimeter wave (mmWave) and terahertz (THz) communications systems ... more Channel state information in millimeter wave (mmWave) and terahertz (THz) communications systems is vital for various tasks ranging from planning the optimal locations of BSs to efficient beam tracking mechanisms to handover design. Due to the use of large-scale phased antenna arrays and high sensitivity to environmental geometry and materials, precise propagation models for these bands are obtained via ray-tracing modeling. However, the propagation conditions in mmWave/THz systems may theoretically change at very small distances, that is, 1 mm–1 μm, which requires extreme computational effort for modeling. In this paper, we first will assess the effective correlation distances in mmWave/THz systems for different outdoor scenarios, user mobility patterns, and line-of-sight (LoS) and non-LoS (nLoS) conditions. As the metrics of interest, we utilize the angle of arrival/departure (AoA/AoD) and path loss of the first few strongest rays. Then, to reduce the computational efforts require...

Research paper thumbnail of Enhanced Slime Mould Optimization with Deep-Learning-Based Resource Allocation in UAV-Enabled Wireless Networks

Sensors

Unmanned aerial vehicle (UAV) networks offer a wide range of applications in an overload situatio... more Unmanned aerial vehicle (UAV) networks offer a wide range of applications in an overload situation, broadcasting and advertising, public safety, disaster management, etc. Providing robust communication services to mobile users (MUs) is a challenging task because of the dynamic characteristics of MUs. Resource allocation, including subchannels, transmit power, and serving users, is a critical transmission problem; further, it is also crucial to improve the coverage and energy efficacy of UAV-assisted transmission networks. This paper presents an Enhanced Slime Mould Optimization with Deep-Learning-based Resource Allocation Approach (ESMOML-RAA) in UAV-enabled wireless networks. The presented ESMOML-RAA technique aims to efficiently accomplish computationally and energy-effective decisions. In addition, the ESMOML-RAA technique considers a UAV as a learning agent with the formation of a resource assignment decision as an action and designs a reward function with the intention of the m...

Research paper thumbnail of Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

Computer Systems Science and Engineering

Next-generation cellular networks are expected to provide users with innovative gigabits and tera... more Next-generation cellular networks are expected to provide users with innovative gigabits and terabits per second speeds and achieve ultra-high reliability, availability, and ultra-low latency. The requirements of such networks are the main challenges that can be handled using a range of recent technologies, including multi-access edge computing (MEC), artificial intelligence (AI), millimeterwave communications (mmWave), and software-defined networking. Many aspects and design challenges associated with the MEC-based 5G/6G networks should be solved to ensure the required quality of service (QoS). This article considers developing a complex MEC structure for fifth and sixth-generation (5G/6G) cellular networks. Furthermore, we propose a seamless migration technique for complex edge computing structures. The developed migration scheme enables services to adapt to the required load on the radio channels. The proposed algorithm is analyzed for various use cases, and a test bench has been developed to emulate the operator's infrastructure. The obtained results are introduced and discussed.

Research paper thumbnail of Exploring a Model Network for Orchestation IoT Services Based on Kubernetes

Telecom IT, 2020

This paper focuses on the implementation of the concept of microservices, which can be used to de... more This paper focuses on the implementation of the concept of microservices, which can be used to design and implement distributed edge services for IoT applications. Basically, IoT is a platform where integrat-ed services are connected to a common network, so all devices are able to collect and exchange data with each other. Typically, monolithic user mobility services are developed for the core components of the ETSI MEC Unified Systems Reference Architecture. The ETSI MEC views microservices as a tool for separating monolithic applications into a set of loosely coupled distributed components, i.e. which provides an independent unit that implements a function. This architecture is expected to facilitate dynamic adaptation at runtime. However, increased modularity can also increase the load on orchestration and system management. In MEC, user equipment is connected through gate-ways to microservices running at the edge node. In the work, a distributed service is implemented using Dock...

Research paper thumbnail of ARDefense: DDoS detection and prevention using NFV and SDN

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Network Function Virtualization or NFV gives numerous advantages over the conventional networking... more Network Function Virtualization or NFV gives numerous advantages over the conventional networking techniques by incorporating distinctive features of a network over the virtual machine (VM). It decreases capital and operational costs to give more noteworthy adaptability and flexibility. But all of these advantages come at the expense of the intrinsic system vulnerabilities because of specific sorts of cyber attacks like the Distributed Denial of Service (DDoS) attack. With the increased number of layers in NFV, it becomes easier for an attacker to execute DDoS attack. This study indicates a new model for mitigating the effects of DDoS attacks on NFV. The model has been designed specifically for the individual users especially gamers and online streamers who become victim of DDoS attack on adaily basis. However, the method can be used for a online service like a website in general as well after making certain changes which have been discussed in detail. ARDefense usually performs server migration and IP spoofing when it detects a DDoS attack on the application layer. Effectiveness of ARDefense was tested by measuring load migration and IP spoofing processing time.

Research paper thumbnail of IoT-fog based system structure with SDN enabled

Proceedings of the 2nd International Conference on Future Networks and Distributed Systems

IoT is a new communication paradigm that gains a very high importance in the past few years. Fog ... more IoT is a new communication paradigm that gains a very high importance in the past few years. Fog computing is a form of edge computing that is developed to provide the computing, storage and management capabilities near to users. Employing Fog computing in IoT networks as an intermediate layer between IoT devices and the remote cloud becomes a demand to make use of the edge computing benefits. In this work, we provide a framework for IoT system structure that employs an edge computing layer of Fog nodes. The system employs SDN network with a centralized controller and distributed OpenFlow switches; these switches are enabled with limited computing and processing capabilities. The network is operated based on a data offloading algorithm, that allocates certain processing and computing tasks to some OpenFlow switches that has unused resources. The proposed work achieves various benefits to the IoT network such as the latency reduction and higher efficiency of resources utilization. We perform an experiment over a developed testbed to validate the proposed system and results show that the proposed system achieves higher efficiency in terms of latency and resource utilization.

Research paper thumbnail of Mobile Edge Computing for Video Application Migration

Lecture Notes in Computer Science, 2019

Modern telecommunication networks show steady growth in the digital cable television and IPTV mar... more Modern telecommunication networks show steady growth in the digital cable television and IPTV market. In today’s telecommunication networks most of the services are related to transmission of video traffic. For client’s loyalty operators are busy looking for new video delivery optimization methods with the appropriate quality of experience. MEC or Mobile edge computing offers significant advantages for example, enabling operators to bring applications and content closer to the network edge i.e. close to the video content end consumer and other advantages. This is particularly interesting in video delivery, where latency negatively affect video quality. Users can receive video content with minimum delays and operators can realize operational and cost efficiencies while reducing network latency and, ultimately improving the end consumer’s quality of experience. In this paper, a video content application migration method using edge-computing technology is proposed. The proposed method is applied in a managed mode over a Software-Defined Networking (SDN); what improves the efficiency of video traffic delivery. A new concept “Exchange” is introduced for flexible and automated interaction between video delivery chain members, i.e. the network operator, the content provider and the end user.

Research paper thumbnail of Internet of Things Services Orchestration Framework Based on Kubernetes and Edge Computing

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), 2021

Presented work is fanalysis of how the microservices paradigm can be used to design and implement... more Presented work is fanalysis of how the microservices paradigm can be used to design and implement distributed edge services for Internet of Things (IoT) applications. Basically, IoT is a platform where integrated services are associated with the common network, thus all devices are able to gather and exchange data among each other. Typically, monolithic user mobility research services are developed for the unified ETSI MEC system reference architecture centers. ETSI MEC considers microservices as a tool for breaking monolithic applications into a set of loosely coupled distributed components. It is expected that this architecture will facilitate the dynamic adaptation during the application execution. However, increased modularity can also increase the burden on orchestration and system management. In MEC, user hardware is connected through gateways to microservices running on the edge host.There are three levels in each of the edge systems: 1) microservices perform a logical operation with components for motion track analysis, 2) movement foresight and 3) outcome visualization. The distributed service is realized with Docker containers and calculated on actual world adjustment with low capacity edge servers and real user mobility information. The results demonstrate the fact that the edge perspective of low latency may be encountered in this sort of implementation. The integration of a software creation technology with a standardized edge system supplies respectable basis for subsequent development. The paper considers the application of the boundary computing architecture and Kubernetes as an orchestration and management of network applications.

Research paper thumbnail of Enabling M2M Communication Through MEC and SDN

Developments in Language Theory, 2018

Machine-to-Machine (M2M) traffic is growing fast on the Internet, this trend is manifested in the... more Machine-to-Machine (M2M) traffic is growing fast on the Internet, this trend is manifested in the congestion of networks at different levels. The edge cloud unit is used for reducing number of intermediate nodes involved in the communication process and for offloading. The offloading can be seen as three parts. The first is the base station (BS) offloading, as the cloud unit helps the BS in some tasks related to call imitation such as resource allocations. The second is the workload passed from sensor nodes which represents the M2M traffic offloading and the third part is the cellular data offloading. In this paper, we propose an algorithm for offloading the core network using mobile edge computing, which allow devices to exchange traffic with the nearest mobile edge computing for improving QoS and offload channels in the core of the network.

Research paper thumbnail of Development of intelligent street lighting services model based on LoRa technology

2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2018

The Internet of things brings to life a new set of services that can be deployed on the mobile ne... more The Internet of things brings to life a new set of services that can be deployed on the mobile network operator and offered to the end user, for example, services such as: tactile Internet, augmented reality, virtual reality, medical networks, weather forecasting, smart homes and smart cities, completely automated cities with smart self-learning algorithms for managing everything. This paper considers the possibility of implementing services of the “Smart City” concept. Based on the experience of other cities, we can conclude that the most interesting and popular will be the implementation of intelligent street lighting, that allows the municipality to save budget funds, spent on street lighting in the city. For implementing this service, using a standardized wireless technology for building a physical network and a unified service model, in future it will be possible with minimal investment to increase the number of services, adding, for example, air pollution analysis, or “smart” waste containers. In this paper we analyze wireless technologies with low power consumption and long range. Based on the analysis was chosen the best technology, which can be used in smart city to provide a “smart street lighting” service. In results model for providing “smart street lighting” service was developed, which includes equipment, the scheme of the overall network organization, as well as its logical implementation in a unified service model, and also in this work we tested the network segment built using the selected wireless technology LoRa.

Research paper thumbnail of Development of intelligent street lighting services model based on LoRa technology

2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2018

The Internet of things brings to life a new set of services that can be deployed on the mobile ne... more The Internet of things brings to life a new set of services that can be deployed on the mobile network operator and offered to the end user, for example, services such as: tactile Internet, augmented reality, virtual reality, medical networks, weather forecasting, smart homes and smart cities, completely automated cities with smart self-learning algorithms for managing everything. This paper considers the possibility of implementing services of the “Smart City” concept. Based on the experience of other cities, we can conclude that the most interesting and popular will be the implementation of intelligent street lighting, that allows the municipality to save budget funds, spent on street lighting in the city. For implementing this service, using a standardized wireless technology for building a physical network and a unified service model, in future it will be possible with minimal investment to increase the number of services, adding, for example, air pollution analysis, or “smart” waste containers. In this paper we analyze wireless technologies with low power consumption and long range. Based on the analysis was chosen the best technology, which can be used in smart city to provide a “smart street lighting” service. In results model for providing “smart street lighting” service was developed, which includes equipment, the scheme of the overall network organization, as well as its logical implementation in a unified service model, and also in this work we tested the network segment built using the selected wireless technology LoRa.

Research paper thumbnail of Investigation of methods for remote control IoT-devices based on cloud platforms and different interaction protocols

2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2017

Internet of Things (IoT) is a concept of communications between multiple devices equipped with se... more Internet of Things (IoT) is a concept of communications between multiple devices equipped with sensors and actuators for the purpose of convenience and economic benefits. In connection with the rapid development of IoT concept it becomes necessary to use those or other instruments for the control and management of IoT. Considered scenario is based on the interaction between the central element (smart home gateway), which ensures the connection of various sensors and actuators within a smart home. Management is carried out on the basis of specialized application. In this paper as a gateway uses single board computer Raspberry Pi 3 and the sensors and actuators communicate with the gateway using BLE — technology. We consider the operation of applications for remote management of the actuators and sensors using a proper framework AllJoyn. In conducting the study focuses on components of the framework AllJoyn: HTTP protocol, which is the most common in data exchange between smart home gateway and remote applications, MQTT protocol. During the testing of HTTP and MQTT protocols, realized as AllJoyn at the gateway threshold levels of operation have been received. Thus, the paper presents the results of complex testing fragment smart home network, the basic communication protocols and thresholds obtained their operation in conditions of high functional load.

Research paper thumbnail of Evaluating the Quality of Experience Performance Metric for UAV-Based Networks

Sensors, 2021

In this work, we consider a UAV-assisted cell in a single user scenario. We consider the Quality ... more In this work, we consider a UAV-assisted cell in a single user scenario. We consider the Quality of Experience (QoE) performance metric calculating it as a function of the packet loss ratio. In order to acquire this metric, a radio-channel emulation system was developed and tested under different conditions. The system consists of two independent blocks, separately emulating connections between the User Equipment (UE) and unmanned aerial vehicle (UAV) and between the UAV and Base station (BS). In order to estimate scenario usage constraints, an analytical model was developed. The results show that, in the described scenario, cell coverage can be enhanced with minimal impact on QoE.