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Joint Social-Aware and Mobility-Aware Computation Offloading in Heterogeneous Mobile Edge Computing

Chenglin Xu, Cheng Xu, Bo Li, Siqi Li, Tao Li
2022 IEEE Access  
In addition, we propose the joint social-aware and mobilityaware computation offloading algorithm (JSMCO) based on the improved Kuhn-Munkres (KM) algorithm to obtain a resource allocation strategy that  ...  Fortunately, with the emergence of mobile edge computing (MEC), mobile devices can offload tasks to edge servers to efficiently solve the above problems.  ...  We propose the joint social-and mobility-aware computation offloading (JSMCO) algorithm to solve this problem.  ... 
doi:10.1109/access.2022.3158319 fatcat:3z2bpx4rrvcxzlobdqjukxusvu

Mobility-Aware Caching and Computation Offloading in 5G Ultra-Dense Cellular Networks

Min Chen, Yixue Hao, Meikang Qiu, Jeungeun Song, Di Wu, Iztok Humar
2016 Sensors  
In addition, differences and relationships between caching and computation offloading are discussed.  ...  Therefore, taking the effect of the user mobility into consideration, we proposes a joint mobility-aware caching and SBS density placement scheme (MS caching).  ...  Acknowledgments: Humar would like to acknowledge that his work was partly performed in the scope of the research program P2-0246-Algorithms and optimization methods in telecommunications, financed by the  ... 
doi:10.3390/s16070974 pmid:27347975 pmcid:PMC4970026 fatcat:ouvcbx5ygnaktgbkigdwcnf6pu

2020 Index IEEE Transactions on Mobile Computing Vol. 19

2021 IEEE Transactions on Mobile Computing  
Sucasas, V., +, TMC April 2020 752- 768 A Socially-Aware Hybrid Computation Offloading Framework for Multi-Ac- cess Edge Computing.  ...  ., +, TMC Jan. 2020 74-89 Joint Optimization of Path Planning and Resource Allocation in Mobile Edge Computing.  ... 
doi:10.1109/tmc.2020.3036773 fatcat:6puiux5lp5bfvjo47ey7ycwyfu

A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications

Shuo Wang, Xing Zhang, Yan Zhang, Lin Wang, Juwo YANG, Wenbo Wang
2017 IEEE Access  
Mobile edge networks provide cloud computing and caching capabilities at the edge of cellular networks.  ...  Therefore, new architectures which bring network functions and contents to the network edge are proposed, i.e., mobile edge computing and caching.  ...  ACKNOWLEDGMENT The authors would like to thank the editor and the anonymous reviewers for their constructive comments and suggestions, which improve the quality of this paper.  ... 
doi:10.1109/access.2017.2685434 fatcat:omhcphk735czrnmjnwkoory6hq

IEEE Access Special Section Editorial: Mobile Edge Computing and Mobile Cloud Computing: Addressing Heterogeneity and Energy Issues of Compute and Network Resources

Muhammad Khurram Khan, Junaid Shuja, Yaser Jararweh, Guanding Yu, Mohsen Guizani, Christos Verikoukis, Raja Wasim Ahmad
2020 IEEE Access  
learning offloading framework for heterogeneous mobile edge computing system,"  ...  In the article ''A 'joint-me' task deployment strategy for load balancing in edge computing,'' by Dong et al., the authors present a joint task scheduling strategy for edge and cloud computing for load  ...  Compute resources are unable to execute offloading and collaborative tasks without considering heterogeneity.  ... 
doi:10.1109/access.2020.3019975 fatcat:3nfp245xkbfhfmje3vmd2xyrbq

IEEE Access Special Section Editorial: Communication and Fog/Edge Computing Toward Intelligent Connected Vehicles (ICVS)

Lei Shu, Junhui Zhao, Yi Gong, Changqing Luo, Tim Gordon
2021 IEEE Access  
This Special Section in IEEE Access focuses on innovative technologies and solutions enabled communication and edge computing toward ICVs.  ...  To tackle the challenge, fog/edge computing is proposed as innovative computing paradigms to extend computing capacity to the network edge to meet the requirements.  ...  In the article ''Joint computation offloading and URLLC resource allocation for collaborative MEC-assisted cellular-V2X networks,'' by Feng et al., a joint computation and URLLC resource allocation strategy  ... 
doi:10.1109/access.2021.3071260 doaj:3c15b73f232c41a199e81c178ee3a34d fatcat:c5xvpfeh3zf5fgyzkpzmdkw3jy

Multimedia Edge Computing [article]

Zhi Wang, Wenwu Zhu, Lifeng Sun, Han Hu, Ge Ma, Ming Ma, Haitian Pang, Jiahui Ye, Hongshan Li
2021 arXiv   pre-print
In this paper, we investigate the recent studies on multimedia edge computing, from sensing not only traditional visual/audio data but also individuals' geographical preference and mobility behaviors,  ...  to performing distributed machine learning over such data using the joint edge and cloud infrastructure and using evolutional strategies like reinforcement learning and online learning at edge devices  ...  [40] studied computation offloading using the edge infrastructure, including decision on computation offloading, allocation of computing resource within the mobile edge computing and mobility management  ... 
arXiv:2105.02409v1 fatcat:26eyjzgg2na2lep2crb4cfhs7m

2019 Index IEEE Transactions on Network and Service Management Vol. 16

2019 IEEE Transactions on Network and Service Management  
., +, T-NSM Sept. 2019 1212-1225 Mobile handsets A Novel Ad-Hoc Mobile Edge Cloud Offering Security Services Through Intelligent Resource-Aware Offloading.  ...  ., +, T-NSM Sept. 2019 924-935 A Novel Ad-Hoc Mobile Edge Cloud Offering Security Services Through Intelligent Resource-Aware Offloading.  ...  Stochastic programming Tiered Cloud Storage via Two-Stage, Latency-Aware Bidding. Zhang  ... 
doi:10.1109/tnsm.2019.2960621 fatcat:zdo7i4plobaqxp54v7624wkrxi

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., and Bose, R., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe  ...  ., JIoT Feb. 2020 874-881 Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing.  ...  ., +, JIoT April 2020 2622-2629 Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
2022 IEEE Access  
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.  ...  INDEX TERMS Mobile edge computing (MEC), network uncertainty, reinforcement learning (RL).  ...  In [162] , using the social relationship of vehicle owners, the authors proposed a joint optimization of computing and caching for content offloading and dispatch.  ... 
doi:10.1109/access.2022.3183647 fatcat:pd5z6q4innd5jl25g4r7b4nq3i

A Survey of Fog Computing

Shanhe Yi, Cheng Li, Qun Li
2015 Proceedings of the 2015 Workshop on Mobile Big Data - Mobidata '15  
Despite the increasing usage of cloud computing, there are still issues unsolved due to the inherent problem of cloud computing such as unreliable latency, lack of mobility support and location-awareness  ...  Fog computing, also termed edge computing, can address those problems by providing elastic resources and services to end users at the edge of network, while cloud computing are more about providing resources  ...  While there are plenty of search in computation offloading in the context of cloud computing and mobile computing [41, 8, 6, 26] , we review a few of them in this paper.  ... 
doi:10.1145/2757384.2757397 dblp:conf/mobihoc/YiLL15 fatcat:2ikw7e2o2zcsdklqn2ckt46juy

Artificial Intelligence-Empowered Edge of Vehicles: Architecture, Enabling Technologies, and Applications

Hongjing Ji, Osama Alfarraj, Amr Tolba
2020 IEEE Access  
To substantially reduce the latency and the energy consumption, application work is offloaded from a mobile device to a remote cloud or a nearby mobile edge cloud for processing.  ...  Therefore, mobile edge computing (MEC) has the advantages of effectively utilizing idle computing and storage resources at the edge of the network and reducing the network transmission delay.  ...  In contrast to other studies, this study uses a two-layer cross-layer offloading model that combines a heterogeneous network and mobile edge computing to realize dynamic resource allocation.  ... 
doi:10.1109/access.2020.2983609 fatcat:b45abdrxbracnbfpvtvtu5uxui

A Survey on Mobile Edge Computing: The Communication Perspective

Yuyi Mao, Changsheng You, Jun Zhang, Kaibin Huang, Khaled B. Letaief
2017 IEEE Communications Surveys and Tutorials  
Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards Mobile Edge Computing  ...  The main feature of MEC is to push mobile computing, network control and storage to the network edges (e.g., base stations and access points) so as to enable computation-intensive and latency-critical  ...  MEC Systems with Heterogeneous Servers To enable ubiquitous edge computing, heterogeneous MEC (Het-MEC) systems were proposed in [130] comprising one central cloud and multiple edge servers.  ... 
doi:10.1109/comst.2017.2745201 fatcat:rkgkslqx4bg6vp4ynidiuzqtga

Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey

Mahshid Mehrabi, Dongho You, Vincent Latzko, Hani Salah, Martin Reisslein, Frank H. P. Fitzek
2019 IEEE Access  
INDEX TERMS Caching, computation offloading, device-to-device (D2D) communication, mobile edge computing (MEC).  ...  Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices in providing compute-and data-intensive services with low latency.  ...  In order to extend the MEC usage to heterogeneous networks technologies, e.g., WiFi and fixed access, ETSI ISG has renamed Mobile Edge Computing to Multi-access Edge Computing in September 2016 [85] ,  ... 
doi:10.1109/access.2019.2953172 fatcat:zcrzkzd4xbgzhnf3ytggxtmgfi

2020 Index IEEE Transactions on Wireless Communications Vol. 19

2020 IEEE Transactions on Wireless Communications  
., and Saad, W., Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach; TWC June 2020 3908-3923 Hu, Y.H., see Xia, M., TWC June 2020 3769-3781 Hua,  ...  Identification for MIMO Systems in Dynamic Environments; TWC June 2020 3643-3657 Huang, C., see Yang, M., TWC Sept. 2020 5860-5874 Huang, D., Tao, X., Jiang, C., Cui, S., and Lu, J  ...  ., +, TWC June 2020 4125-4140 Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing Systems.  ... 
doi:10.1109/twc.2020.3044507 fatcat:ie4rwz4dgvaqbaxf3idysubc54
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