mobile edge computing IEEE PAPERS-2020
Mobile edge computing enabled 5G health monitoring for Internet of medical things: A decentralized game theoretic approach
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The prompt evolution of Internet of Medical Things (IoMT) promotes pervasive in-home health monitoring networks. However, excessive requirements of patients result in insufficient spectrum resources and communication overload. Mobile Edge Computing Abstract Internet of Things (IoT) applications introduce a set of stringent requirements (eg, low latency, high bandwidth) to network and computing paradigm. 5G networks are faced with great challenges for supporting IoT services. The centralized cloud computing paradigm
Revenue-optimal task scheduling and resource management for IoT batch jobs in mobile edge computing
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With the growing prevalence of Internet of Things (IoT) devices and technology, a burgeoning computing paradigm namely mobile edge computing (MEC) is delicately proposed and designed to accommodate the application requirements of IoT scenario. InBiological threats are becoming a serious security issue for many countries across the world. Effective biosurveillance systems can primarily support appropriate responses to biological threats and consequently save human lives. Nevertheless, biosurveillance systems are
Efficient and Secure Data Utilization in Mobile Edge Computing By Data Replication
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The technological improvement at a rapid pace in the information and the communication fields has made the internet of things inevitable in our day today activities and takes a significant role in the every part of our regular schedule. The seamless communication Abstract In recent days, Mobile Edge Computing (MEC) emerges as a new computing paradigm that pushes computing resources towards the edge of the Internet and close to end users and more scholars begin to carry out their different kinds of research under the Reinforcement learning (RL) as an effective tool has attracted great attention in wireless communication field nowadays. In this paper, we investigate the offloading decision and resource allocation problem in mobile edge computing (MEC) systems based on RL With the increasing popularity of Internet of things (IoT) applications, mobile edge computing (MEC) is emerging as a new technology. Caching popular content to edge servers can effectively reduce backhaul time and satisfy a large number of users access requests for the(IoT) imposes great challenges in the existing cellular systems and calls for novel approaches for wireless network design. In this paper, we develop a joint energy and computation optimization paradigm in an IoT network. The tasks collected at local IoT In this paper, we investigate the content deployment problem from precaching and device-to- device communication perspectives. In the precaching stage, contents are prefetched and stored in edge nodes to be quickly provided to end users. In the device-to-device This paper considers a wireless energy transfer based mobile edge computing system, where wireless devices can be charged by the radio-frequency signals broadcast by hybrid access point. With Mobile Edge Computing (MEC), wireless devices can execute their In recent years, the proportion of elderly population in various countries has gradually increased. Increasing with age, it can entail illness. When these diseases are sudden, the elderly often die because there is no immediate treatment. Elderly care has become an Mobile edge computing (MEC) is a promising computing model and has gained remarkable popularity, as it deploys the resources (eg, computation, network, and storage) to the evolved NodeB (eNB) to provide enormous benefits such as low delay and energy
Introduction to Mobile Edge Computing
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Fifth generation mobile networks aim to use multi-tier heterogeneous cellular networks integrated with cloud computing to provide users with low latency and energy-aware service. However, for high bandwidth and low latency services, edge/fog computing comes into theThis paper studies a single-user Mobile Edge Computing (MEC) system where mobile device (MD) includes an application consisting of multiple computation components or tasks with dependencies. MD can offload part of each computation-intensive latency-sensitive task
Coding for mobile edge computing
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The idea of mobile edge computing (MEC) is to provide external computational and storage resources close to the end user, ie, close to the network edge. Servers are placed in the vicinity of the users and can be accessed through a direct wireless connection. A typical
Content Caching Strategy at Small Base Station in 5G Networks with Mobile Edge Computing
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The way of using mobile community sources successfully by the content material caching strategy. Here, we have a look at Small Cell Base Station Networks (SCBSNs) from a caching perspective. Firstly, we wager that these Small Cell Base Stations are deploying
Latency Optimization for D2D-Enabled Parallel Mobile Edge Computing in Cellular Networks
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Edge offloading, including offloading to edge base stations (BS) via cellular links and to idle mobile users (MUs) via device-to-device (D2D) links, has played a vital role in achieving ultra-low latency characteristics in 5G wireless networks. This paper studies an offloading
Energy-Efficient Application-Aware Mobile Edge Computing with Multiple Access Points
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The offloading decision making of multiple mobile units in a mobile edge computing (MEC) scenario with multiple access points, each with an attached cloudlet server, is investigated. This scenario bears a joint problem to be solved: the assignment of mobile units to access
Fair Multi-resource Allocation in Mobile Edge Computing with Multiple Access Points
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Computation offloading, ie, uploading and executing jobs on a remote server, is a strategy to overcome the restrictions of resourceconstrained mobile devices. Mobile cloud computing facilitates computation offloading by providing access to the vast resource hosted by clouds
Multi-cell Collaborative Caching Based on Game Theory in Mobile Edge Computing
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Mobile edge computing cache and computing services are pushed to the edge network closer to user, separating network data from the remote cloud network to provide better service to users. At present, most of the researches on edge computing barely consider
Task Offloading in Mobile Edge Computing Networks
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Abstract Mobile Edge Computing (MEC) is an envisioned paradigm to solve the contradiction between the growing delay-sensitive and computation-intensive applications with resource-constrained mobile devices. Network services demanded by user requests
MicroLambda Packetized Computation for 5G Mobile Edge Computing
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Immersive technologies enable Mixed Reality (MR), a form of spatial computing to blur the physical and digital creating a sense or presence. MR is well-positioned to be the next disruptive technology changing the way we work, live, think, and behave. MR over Mobile
Secure Task Offloading in Mobile Edge Computing : Review and Case Studies
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Recently, the success of the Internet of Things has served the need for edge computing, in which task process and security issues occur in part at the network edge, rather than completely in the cloud. Edge computing mean concerns such as latency, mobile devices
Game-Based Task Offloading of Multiple Mobile Devices with QoS in Mobile Edge Computing Systems of Limited Computation Capacity
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Presently, Mobile Devices (MDs) are an indispensable part in our daily life . With the popularity of smart MDs and new electronic products, many new computation-intensive and delay-sensitive applications (eg, face and voice recognition, virtual and augmented reality
Cognitive Service in Mobile Edge Computing
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Cognitive services have revolutionized the way we live, work and interact with the world. In recent years, deep neural networks have become the mainstream approach in cognitive service, and mobile edge computing facilitates a variety of cognitive services for users by
A Survey on Mobile Edge Computing : Architecture, Use-cases, Applications
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By enormous growth in IoT and smart devices and the advent of many new applications, Internet traffic volume has been growing exponentially. Analyzing such flooding traffic requires enormous compute and bandwidth and raises privacy concerns. Edge platforms
Multi user task computation offloading in mobile edge computing
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This paper proposes the common multi user Mobile Cloud Computing (MCC) method each and every mobile user has several self-determining tasks. These mobile user allotment those calculation also correspondence assets same time offloading task of the cloud. We
On performance of mobile edge computing network with non-orthogonal multiple access and radio frequency energy harvesting
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DB Haa, T Van Truonga, TL Voc, DH Had, HÐ Bìnha cdn.duytan.edu.vn Mobile edge computing is an emerging trend of cloud computing that enables terminal users, which have limited computing ability, to offload their tasks to the edge servers. In this paper, we study the performance of mobile edge computing system using non-orthogonal
Cost Effective Mobile Edge Computing for Hit Ratio Maximization
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In this paper, we investigate the cooperation problem of edge nodes in mobile edge scenarios. We study two performance metrics: caching hit ratio and cooperation cost. We analyze the relationship of the two metrics for cooperative edge networks in which multiple
A Study of Edge Computing Offloading Based on Security
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In this paper, we study a mobile edge computing model based on energy consumption optimization management under a certain delay constraint, focus on an edge computing offload scheme based on security management, and design an offload decision scheme based on a
Cooperative hierarchical based edge-computing approach for resources allocation of distributed mobile and IoT applications
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Keyword: Edge Computing Mobile Edge Computing Internet of Things (IoT) Resources Management Modules Placement Copyright Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author
Delay-Aware and User-Adaptive Offloading of Computation-Intensive Applications with Per-Task Delay in Mobile Edge Computing Networks
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Mobile edge computing (MEC) is a new paradigm with a great potential to extend mobile users capabilities becauseof its proximity. It can contribute efficiently to optimize the energy consumption to preserve privacy, and reduce the bottlenecks of the network traffic. In platform. With Mobile Edge Computing (MEC), computation-intensive tasks can be efficiently handled in the MEC servers, which can reduce the mobile devices energy consumption and extend their battery life [1 1 35]. Afterthe overall system cost in comparison to baseline schemes. Keywords: Vehicular edge computing, Task offloading, Mobility, Mobile edge computing Vehicular networks Introduction As an enabling technology for the Internet Some other related research might be found in mobile edge computing (MEC) [ 10], mobile cloud comput- ing (MCC) [1 12] and fog computing (FC) [ 13 15]. In , the authors proposed that the aggregation scheme on the gateways can secure users privacy information
Synthesizing Plausible Infrastructure Configurations for Evaluating Edge Computing Systems
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IEEE. [42] Cagatay Sonmez, Atay Ozgovde, and Cem Ersoy. Edge- cloudsim: An environment for performance evaluation of edge computing systems. In Second Interna- tional Conference on Fog and Mobile Edge Computing (FMEC), pages 39 44. IEEEFog-computing integration with IoT has been proposed, such that devices can be deployed at the edge of networks [ 7]. Mobile edge computing (MEC)-enabled IoT devices have also been promulgated [8 10] 2 Related work 2.1 Mobile edge computing Page 1. Active Defense by Mimic Association Transmission in Edge Computing Shuo Wang1
A study on the design methodology of TAC 3 for edge computing
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(b) Edge computing diagram Figure 2. The edge computing versus cloud computing. 2.1. Mobile edge computing 11. Y. Mao, C. You, J. Zhang, K. Huang, KB Letaief, A Survey on Mobile Edge Computing : The Communication Perspective, IEEE Commun. Surv
Enhancing Autonomy with Blockchain and Multi-Acess Edge Computing in Distributed Robotic Systems
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This conceptual paper discusses how different aspects involving the autonomous operation of robots and vehicles will change when they have access to next-generation mobile networks. 5G and beyond connectivity is bringing together a myriad of technologies and References 1. Atzori L, Iera A, Morabito G (2010) The internet of things: a sur- vey. Comput Netw 54(15):2787 2805 2. Hsieh HC, Lee CS, Chen JL (2018) Mobile edge computing plat- form with container-based virtualization technology for IoT appli- cations
A New Task Offloading Algorithm in Edge Computing
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incorporated renewable energy into mobile edge computing and proposed an effective resource management algorithm based on reinforcement learning to learn dynamic optimal strategies for dynamic load offloading and edge server configuration to minimize long-term 2 Edge computing satellite network architecture In this section, we will introduce the edge computing satellite network architecture to exhibit data interaction in different layers and the framework of mobile edge computing servers in ECS, as shown in Fig
Next-generation SDN and fog computing: A new paradigm for SDN-based edge computing
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dtu. dk Abstract In the last few years, we have been able to see how terms like Mobile Edge Computing Cloudlets, and Fog computing have arisen as concepts that reach a level of popularity to express computing towards network Edge
Blockchain-empowered for Secure Data Storage and Sharing in Vehicular Edge Computing Networks
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conventional vehicular edge computing networks (VANETs), where an additional edge layer is the main difference that distinguishes between VANETs and VECNets . The model of VECNets is referring to mobile edge computing architecture, which is consists of a user layer Theoretical and simulation results examine the performance of our proposed mechanism, and reveal its superiority over the counterparts. Keywords: Mobile edge computing computation offloading, transmission scheduling, delay sensitive, mechanism design, game
Design and implementation of an Android compatible distributed multi-access edge computing platform
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4 1 2011. [17] Y. Zhu and VCM Leung, Efficient Power Management for Infrastructure IEEE 802.11 WLANs, IEEE Transactions on Wireless Communications, vol. no. pp. 2196 220 2010. [18] Y. Tang, Exploring New Paradigms for Mobile Edge Computing 2018. 24
Performance Study of Multi-access Edge Computing Deployment in a Virtualized Environment
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85-92. ETSI GS MEC-IEG 006: Mobile Edge Computing ; Market Accelera- tion; MEC Metrics Best Practice and Guidelines . [15] ETSI GR MEC 017 : Deployment of Mobile Edge Computing in an NFV environmentPage 1. Vol.:(0123456789) 1 3 Journal of Ambient Intelligence and Humanized grouping recommendation method in edge computing Kayumiy Roman et al. [17] studied the edge paradigms of fog computing, mobile edge computing and mobile cloud computing from a holistic perspective and analyzed the security threats, challenges and mechanisms of these edge paradigms. Du et al
Platforms for Serverless at Edge: A Review
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5 Conclusion In this paper we described the most common platforms for Serverless in Mobile Edge Computing . Some of the selected platforms are targeted to specific purposes such as IoT, while others are specifically targeting Content Delivery Network (CDN)
Body Weight Estimation of Yak Based on Cloud Edge Computing
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Page 1. Zhang et al. RESEARCH Body Weight Estimation of Yak Based on Cloud Edge Computing Yu-an Zhang1*, Zijie Sunv Chen Zhang Shu Yin Wenzhi Wang1 and Rende Song2 Abstract In stock farming, the bodyTherefore, it is necessary to control the bandwidth usage in the fronthaul. In 5G mobile networks, RRHs can use a mobile edge computing (MEC) server as an edge cloud and can perform compli- cated operations in the MEC using knowledge of fronthaul
Simulators and emulators for edge computing
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Page 1. Chapter 14 Simulators and Emulators for Edge Computing Atakan Aral Vincenzo De Maio1 In this chapter, we perform a study of the existing tools for the evaluation of Fog/Edge infrastructures. First, we analyze the
Multi-access edge computing in cellular networks
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With the same motive, in the telecommunication sector, the European Telecommunications Standards Institute (ETSI) introduced the concept of mobile edge computing in . To leverage edge computing in any radio access network such as mobile network and wireless
Security of Distributed Intelligence in Edge Computing: Threats and Countermeasures
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Page 118. 95 The Author (s) T. Lynn et al.(eds.), The Cloud-to-Thing Continuum, Palgrave Studies in Digital Business Enabling Technologies, CHAPTER 6 Security of Distributed 00857-6 Data driven hybrid edge computing-based hierarchical task guidance for efficient maritime escorting with multiple unmanned surface vehicles
Emergency Demand Response in Edge Computing
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Page 1. Song et al. RESEARCH Emergency Demand Response in Edge Computing and Abstract A cloudlet is a small-scale cloud
Disco: Distributed control plane architecture for resource sharing in heterogeneous mobile edge cloud scenarios
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Page 1. DISCO: Distributed Control Plane Architecture for Resource Sharing in Heterogeneous Mobile Edge Cloud Scenarios Sumit Maheshwari, Prasad Netalkar
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