Smart City Gnosys

Smart city article details

Title	Computation Offloading For Multi-User Mobile Edge Computing
ID_Doc	15367
Authors	Jiao L.; Yin H.; Huang H.; Guo D.; Lyu Y.
Year	2019
Published	Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018
DOI	http://dx.doi.org/10.1109/HPCC/SmartCity/DSS.2018.00087
Abstract	Mobile edge computing (MEC), as a novel computing paradigm, promises dramatic reduction in latency and energy consumption by offloading computation-intensive tasks to edge clouds in close proximity to mobile users. However, compared with conventional mobile cloud computing (MCC), it has finite computation capacity, especially under the scenario of multi-user offloading. Thus, how to optimize mobile energy consumption and utilize computational resources effectively have being challenged MEC design. In this paper, we consider a multi-user MEC system design, where the multiple mobile devices ask for computation offloading to a MEC server according to the system state. We formulate the computation offloading as a stochastic dynamic programming (SDP) problem, aiming at minimizing the long-term cumulative system cost. To achieve this goal, we propose an approximate dynamic programming (ADP) approach, by employing a well-designed value function approximation (VFA) architecture and a stochastic gradient learning strategy, enabling the state value be parameterized and recursively estimated step by step. Extensive simulations are conducted to verify the effectiveness of our approach with other heuristic approaches under different parameters settings, referring to network bandwidth, task size and number of mobile devices. © 2018 IEEE.
Author Keywords	Computation offloading; Green computing; Mobile edge computing; Resource allocation

Similar Articles

Id	Similarity	Authors	Title	Published
20723	0.91	Samarneh A.A.; Alma'aitah A.Y.	Distributed Task Offloading In Mobile Edge Computing Using Metaheuristics	2024 6th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2024 (2024)
34383	0.904	Liang J.; Liu C.; Tan G.; Yang L.	Joint Offloading And Frequency Scaling Technology For Mobile Edge Computing	Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019 (2019)
54438	0.904	Alfahad S.; Wang Q.; Anagnostopoulos C.; Kolomvatsos K.	Task Offloading In Mobile Edge Computing Using Cost-Based Discounted Optimal Stopping	Open Computer Science, 14, 1 (2024)
37381	0.888	Huang H.; Zhan W.; Min G.; Duan Z.; Peng K.	Mobility-Aware Computation Offloading With Load Balancing In Smart City Networks Using Mec Federation	IEEE Transactions on Mobile Computing, 23, 11 (2024)
43342	0.888	Huang H.; Peng K.; Xu X.	Profit-Driven Computation Offloading For Mobile Edge Computing In Wireless Metropolitan Area Networks	Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 (2020)
40050	0.882	Sun Y.; Yang G.; Zhou X.-S.	Online Intelligent Resource Management For Power-Delay Tradeoff In Backhaul-Limited Mobile Edge Computing Systems	Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 (2019)
21063	0.88	He B.; Li H.; Chen T.	Drl-Based Computing Offloading Approach For Large-Scale Heterogeneous Tasks In Mobile Edge Computing	Concurrency and Computation: Practice and Experience, 36, 19 (2024)
61163	0.88	Laroui M.; Khedher H.I.; Moungla H.; Afifi H.; Kamal A.E.	Virtual Mobile Edge Computing Based On Iot Devices Resources In Smart Cities	IEEE International Conference on Communications, 2020-June (2020)
15371	0.88	Lin L.; Liao X.; Jin H.; Li P.	Computation Offloading Toward Edge Computing	Proceedings of the IEEE, 107, 8 (2019)
2871	0.879	Ma B.; Xu Y.; Pan Y.; Liu S.; Li C.	A Multi-User Mobile Edge Computing Task Offloading And Trajectory Management Based On Proximal Policy Optimization	Peer-to-Peer Networking and Applications, 17, 6 (2024)