An Overview of Mobile Edge Computing: Architecture, Technology and Direction (original) (raw)
Related papers
Mobile edge cloud architecture for future low-latency applications
2020
OF THE DISSERTATION Mobile Edge Cloud Architecture for Future Low-latency Applications by Sumit Maheshwari Dissertation Director: Dipankar Raychaudhuri This thesis presents the architecture, design, and evaluation of the mobile edge cloud (MEC) system aimed at supporting future low-latency applications. Mobile edge clouds have emerged as a solution for providing low latency services in future generations (5G and beyond) of mobile networks, which are expected to support a variety of realtime applications such as AR/VR (Augmented/Virtual Reality), autonomous vehicles and robotics. Conventional cloud computing implemented at distant large-scale data centers incurs irreducible propagation delays of the order of 50-100ms or more that may be acceptable for current applications but may not be able to support emerging real-time needs. Edge clouds considered here promise to meet the stringent latency requirements of emerging classes of real-time applications by bringing compute, storage, and...
Impact of Mobile Edge Computing in Real-World
Today's world is seeing an increasing usage of mobile devices and sensor rich devices such as smartphones, tablets and wearable devices such as smart watches. The volume of data that is generated by these devices is huge. Centralized cloud computing architectures cannot address the problems of network latency and jitter, degrading QoS (Quality of Service) and QoE (Quality of Experience) and other challenges in the world of mobile users. In this paper, we survey the impact of Mobile Edge Computing in the real world, an emerging edge computing technology to bring the cloud computing paradigm beyond the centralized architecture towards the edge of the network, nearer to the devices.
Mobile Edge Computing Architecture Challenges, Applications, and Future Directions
International Journal of Grid and High Performance Computing
In the current era of technology, the utilization of tablets and smart phones plays a major role in every situation. As the numbers of mobile users increase, the quality of service (QoS) and quality of experience (QoE) are facing the greater challenges. Thus, this can significantly reduce the latency and optimize the power consumed by the tasks executed locally. Most of the previous works are focused only on quality optimization in the dynamic service layouts. However, they ignored the significant impact of accurate access network selection and perfect service placement. This article performs the detailed survey of various MEC approaches with service provision and adoption. The survey also provides the analysis of various approaches for optimizing the QoS parameters and MEC resources. In this regarding, the survey classifies the approaches based on service placement, network selection, QoS, and QoE parameters, and resources such as latency, energy, bandwidth, memory, storage, and pr...
A Survey on Mobile Edge Computing
Mobile Edge Computing is an emerging technology that provides cloud and IT services within the close proximity of mobile subscribers. Traditional telecom network operators perform traffic control flow (forwarding and filtering of packets), but in Mobile Edge Computing, cloud servers are also deployed in each base station. Therefore, network operator has a great responsibility in serving mobile subscribers. Mobile Edge Computing platform reduces network latency by enabling computation and storage capacity at the edge network. It also enables application developers and content providers to serve context-aware services (such as collaborative computing) by using real time radio access network information. Mobile and Internet of Things devices perform computation offloading for compute intensive applications, such as image processing, mobile gaming, to leverage the Mobile Edge Computing services. In this paper, some of the promising real time Mobile Edge Computing application scenarios are discussed. Later on, a state-of-the-art research efforts on Mobile Edge Computing domain is presented. The paper also presents taxonomy of Mobile Edge Computing, describing key attributes. Finally, open research challenges in successful deployment of Mobile Edge Computing are identified and discussed.
Electronics
With the proliferation of the Internet of Things (IoT) and the development of wireless communication technologies such as 5G, new types of services are emerging and mobile data traffic is growing exponentially. The mobile computing model has shifted from traditional cloud computing to mobile edge computing (MEC) to ensure QoS. The main feature of MEC is to “sink” network resources to the edge of the network to meet the needs of delay-sensitive and computation-intensive services, and to provide users with better services. Computation offloading is one of the major research issues in MEC. In this paper, we summarize the state of the art in task offloading in MEC. First, we introduce the basic concepts and typical application scenarios of MEC, and then we formulate the task offloading problem. In this paper, we analyze and summarize the state of research in the industry in terms of key technologies, schemes, scenarios, and objectives. Finally, we provide an outlook on the challenges an...
A Comprehensive Comparison between Cloud Computing and Mobile Edge Computing
International Journal of Research and Innovation in Applied Science
Cloud computing provides a user-convenient, low-expense, and powerful computing platform for sharing resources like online storage, applications, and software through the internet. But with the exponential growth of the Internet of Things (IoT) devices and massive amounts of private data in the network, the centralized and conventional architecture of cloud computing has become a bottleneck because of limited bandwidth and resources. At the same time security is also an open concern for cloud computing. Hence, Mobile Edge Computing (MEC) is an extended architecture of cloud computing that enables data processing and storing at the edge of mobile networks. Instead of having some unique features (distributed architecture, parallel processing, low latency), MEC has also brought some security threats and challenges. In this paper, a comprehensive comparison between cloud computing and MEC has been presented in terms of features and security threats. Also, the security mechanisms for han...
Seamless Support of Low Latency Mobile Applications with NFV-Enabled Mobile Edge-Cloud
2016 5th IEEE International Conference on Cloud Networking (Cloudnet), 2016
Emerging mobile multimedia applications, such as augmented reality, have stringent latency requirements and high computational cost. To address this, mobile edge-cloud (MEC) has been proposed as an approach to bring resources closer to users. Recently, in contrast to conventional fixed cloud locations, the advent of network function virtualization (NFV) has, with some added cost due to the necessary decentralization, enhanced MEC with new flexibility in placing MEC services to any nodes capable of virtualizing their resources. In this work, we address the question on how to optimally place resources among NFVenabled nodes to support mobile multimedia applications with low latency requirement and when to adapt the current resource placements to address workload changes. We first show that the placement optimization problem is NP-hard and propose an online dynamic resource allocation scheme that consists of an adaptive greedy heuristic algorithm and a detection mechanism to identify the time when the system will no longer be able to satisfy the applications' delay requirement. Our scheme takes into account the effect of current existing techniques (i.e., autoscaling and load balancing). We design and implement a realistic NFV-enabled MEC simulated framework and show through extensive simulations that our proposal always manages to allocate sufficient resources on time to guarantee continuous satisfaction of the application latency requirements under changing workload while incurring up to 40% less cost in comparison to existing overprovisioning approaches. 1 We refer to such an offline formulation as static placement problem hereafter.
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) —————————— ——————————