5G's Integration with Edge Computing (original) (raw)
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Edge Computing and Its Convergence with Blockchain in 6G: Security Challenges
International Journal of Computer Science and Mobile Computing, 2021
Even though the wireless network of 5G has not been investigated exhaustively, the sixth generation (6G) echo systems’ visionaries are already being debated. Therefore, to solidify and consolidate privacy and security within 6G networks, this paper examines edge computing and its convergence with blockchain in 6G: security challenges. Moreover, the paper examines how security might affect the wireless systems of the 6G, potential obstacles characterizing various 6G technologies, alongside possible remedies. This paper unveils the 6G security vision alongside key indicators of performance with tentative landscape threat premised upon predicted sixth generation infrastructure. Furthermore, a discussion of the privacy and security challenges that might emerge from the existing sixth generation applications and demands is presented. Additionally, the paper sheds light into the research-level projects and standardization efforts. Specific attention is accorded to discussion on the securi...
Driving forces for Multi-Access Edge Computing (MEC) IoT integration in 5G
ICT Express
The emergence of Multi-Access Edge Computing (MEC) technology aims to extend cloud computing capabilities to the edge of the wireless access networks, i.e., closer to the end-users. Thus, MEC-enabled 5G wireless systems are envisaged to offer real-time, low-latency, and high-bandwidth access to the radio network resources. Thus, MEC allows network operators to open up their networks to a wide range of innovative services, thereby giving rise to a brand-new ecosystem and a value chain. Furthermore, MEC as an enabling technology will provide new insights into coherent integration of Internet of Things (IoT) in 5G wireless systems. In this context, this paper expounds the four key technologies, including Network Function Virtualization (NFV), Software Defined Networking (SDN), Network Slicing and Information Centric Networking (ICN), that will propel and intensify the integration of MEC IoT in 5G networks. Moreover, our goal is to provide the close alliance between MEC and these four driving technologies in the 5G IoT context and to identify the open challenges, future directions, and concrete integration paths. c
IEEE Access, 2020
The internet is progressing towards a new technology archetype grounded on smart systems, heavily relying on artificial intelligence (AI), machine learning (ML), blockchain platforms, edge computing, and the internet of things (IoT). The merging of IoT, edge computing, and blockchain will be the most important factor of empowering new automatic service and commercial models with various desirable properties, such as self-verifying, self-executing, immutability, data reliability, and confidentiality provided by the advancement in blockchain smart contracts and containers. Motivated by the potential paradigm shift and the security features brought by blockchain from the traditional centralized model to a more robust and resilient decentralized model, this tutorial paper proposes a multi-tier integrated blockchain and edge computing architecture for 5G and beyond for solving some security issues faced by resource-constrained edge devices. We begin with a comprehensive overview of different edge computing paradigms and their research challenges. Next, we present the classification of security threats and current defense mechanisms. Then, we present an overview of blockchain and its potential solutions to the main security issues in edge computing. Furthermore, we present the classification of facilitating developers of different architectures to select an appropriate platform for particular applications and offer insights for potential research directions. Finally, we provide key convergence features of the blockchain and edge computing, followed by some conclusions.
IJERT-Multi-Access EDGE Computing (MEC): A Mainstay of 5G
International Journal of Engineering Research and Technology (IJERT), 2019
https://www.ijert.org/multi-access-edge-computing-mec-a-mainstay-of-5g https://www.ijert.org/research/multi-access-edge-computing-mec-a-mainstay-of-5g-IJERTCONV7IS12012.pdf The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. Multi-access edge computing (MEC) is an emerging ecosystem, which aims at converging telecommunication and IT services, providing a cloud computing platform at the edge of the radio access network. MEC offers storage and computational resources at the edge, reducing latency for mobile end users and utilizing more efficiently the mobile backhaul and core networks. This paper introduces a survey on MEC and focuses on the fundamental key enabling technologies. This paper will review Multi-access edge computing in context to 5G. In addition, this paper analyzes the MEC reference architecture along with its pros and cons.
Edge Computing: Needs, Concerns and Challenges
— In numerous parts of computing, there has been a continuous issue between the centralization and decentralization aspect which prompted to move from mainframes to PCs and local networks in the past, and union of services and applications in clouds and data centers. The expansion of technological advances such as high capacity mobile end-user devices, powerful dedicated connection boxes deployed in most homes, powerful wireless networks, and IoT (Internet of Things) devices along with developing client worries about protection, trust and independence calls for handling the information at the edge of the network. This requires taking the control of computing applications, information and services away from the core to the other the edge of the Internet. Relevance of cloud computing to mobile networks is on an upward spiral. Edge computing can possibly address the concerns of response time requirement, bandwidth cost saving, elastic scalability, battery life constraint, QoS, etc. MEC additionally offers, high bandwidth environment, ultra-low latency that gives real-time access to radio networks at the edge of the mobile network. Currently, it is being used for enabling on-demand elastic access to, or an interaction with a shared pool of reconfigurable computing resources such as servers, peer devices, storage, applications, and at the edge of the wireless network in close proximity to mobile users. It overcomes obstacles of traditional central clouds by offering wireless network information and local context awareness as well as low latency and bandwidth conservation. In this paper, we introduce edge computing and edge cloud, followed by why do we need edge computing, its classifications, various frameworks, applications and several case studies. Finally, we will present several challenges, concerns and future scope in the field of edge computing. Index Terms— Mobile Edge Computing (MEC), Internet of Things (IoT) —————————— ——————————
Five Driving Forces of Multi-Access Edge Computing
ArXiv, 2018
The emergence of Multi-Access Edge Computing (MEC) technology aims at extending cloud computing capabilities to the edge of the wireless access networks. MEC provides real-time, high-bandwidth, low-latency access to radio network resources, allowing operators to open their networks to a new ecosystem and value chain. Moreover, it will provide a new insight to the design of future 5th Generation (5G) wireless systems. This paper describes five key technologies, including Network Function Vitalization (NFV), Software Defined Networking (SDN), Network Slicing, Information Centric Networking (ICN) and Internet of Things (IoT), that intensify the widespread of MEC and its adoption. Our goal is to provide the associativity between MEC and these five driving technologies in 5G context while identifying the open challenges, future directions, and tangible integration paths.
MEC-enabled 5G Use Cases: A Survey on Security Vulnerabilities and Countermeasures
ACM Computing Surveys, 2022
The future of mobile and internet technologies are manifesting advancements beyond the existing scope of science. The concepts of automated driving, augmented-reality, and machine-type-communication are quite sophisticated and require an elevation of the current mobile infrastructure for launching. The fifth-generation (5G) mobile technology serves as the solution, though it lacks a proximate networking infrastructure to satisfy the service guarantees. Multi-access Edge Computing (MEC) envisages such an edge computing platform. In this survey, we are revealing security vulnerabilities of key 5G-based use cases deployed in the MEC context. Probable security flows of each case are specified, while countermeasures are proposed for mitigating them.
An Overview of Mobile Edge Computing: Architecture, Technology and Direction
KSII Trans. Internet Inf. Syst., 2019
Modern applications such as augmented reality, connected vehicles, video streaming and gaming have stringent requirements on latency, bandwidth and computation resources. The explosion in data generation by mobile devices has further exacerbated the situation. Mobile Edge Computing (MEC) is a recent addition to the edge computing paradigm that amalgamates the cloud computing capabilities with cellular communications. The concept of MEC is to relocate the cloud capabilities to the edge of the network for yielding ultra-low latency, high computation, high bandwidth, low burden on the core network, enhanced quality of experience (QoE), and efficient resource utilization. In this paper, we provide a comprehensive overview on different traits of MEC including its use cases, architecture, computation offloading, security, economic aspects, research challenges, and potential future directions.
A Survey on 5G Standardization for Edge Computing and Internet of Things
2019
The networking world is undergoing a radical change to support innovative use cases and new market verticals. International Telecommunication Union (ITU) has defined three categories of these use cases – Enhanced Mobile Broadband (eMBB), Ultra-Reliable and Low Latency Communications (UR-LLC) and Massive Machine Type Communication (mMTC). 5G is considered a harbinger for achieving high data rates, high connection density and ultra-low latency essential to realize these use cases. Emerging technologies, such as Software Defined Networking (SDN), Network Functions Virtualization (NFV) and Multi-Access Edge Computing (MEC), are needed to accomplish the desired performance, scalability and agility. Standardization bodies, like 3rd Generation Partnership Project (3GPP), the Internet Engineering Task Force (IETF), and the European Telecommunications Standards Institute (ETSI) are working in synergy towards defining standards around 5G and these supporting technologies. This survey article ...
A Survey on 5G Enabled Multi-Access Edge Computing for Smart Cities: Issues and Future Prospects
The deployment of 5G is in full swing, with a significant yearly growth in the data traffic expected to reach 26% by the year and data consumption to reach 122 EB per month by 2022 [10]. In parallel, the idea of smart cities has been implemented by various governments and private organizations. One of the main objectives of 5G deployment is to help develop and realize smart cities. 5G can support the enhanced data delivery requirements and the mass connection requirements of a smart city environment. However, for specific high-demanding applications like tactile Internet, transportation, and augmented reality, the cloud-based 5G infrastructure cannot deliver the required quality of services. We suggest using multi-access edge computing (MEC) technology for smart cities' environments to provide the necessary support. In cloud computing, the dependency on a central server for computation and storage adds extra cost in terms of higher latency. We present a few scenarios to demonstrate how the MEC, with its distributed architecture and closer proximity to the end nodes can significantly improve the quality of services by reducing the latency. This paper has surveyed the existing work in MEC for 5G and highlights various challenges and opportunities. Moreover, we propose a unique framework based on the use of MEC for 5G in a smart city environment. This framework works at multiple levels, where each level has its own defined functionalities. The proposed framework uses the MEC and introduces edge-sub levels to keep the computing infrastructure much closer to the end nodes.