Journal of System Simulation
Abstract
Abstract: With the rapid development of Internet of Things (IoT) and mobile terminals, the concept of edge computing arises. By moving the computation and storage capacity to the edge of network, edge computing is able to deal with a large amount of data produced by IoT devices and the responsive request from IoT application. To improve the utility of edge resource, the quality of service and quality of user experience, resource allocation and task scheduling optimization problems under edge computing attract wide attention. It becomes more difficult due to the geographic separated and heterogeneous features of edge computing resource as well as the requirements of performance, energy consumption, cost and stability and introduces the system models of edge computing, IoT and cloud computing, presents the optimization metrics, scheduling models and solution optimization, including exact algorithms, heuristic methods and intelligent optimization algorithms. In addition, typical application cases, and points out the further research contents and directions are provided to promote the development of edge computing.
Recommended Citation
Ling, Wang; Wu, Chuge; and Fan, Wenhui
(2021)
"A Survey of Edge Computing Resource Allocation and Task Scheduling Optimization,"
Journal of System Simulation: Vol. 33:
Iss.
3, Article 1.
DOI: 10.16182/j.issn1004731x.joss.20-0584
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss3/1
First Page
509
Revised Date
2020-09-03
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0584
Last Page
520
CLC
TP391
Recommended Citation
Wang Ling, Wu Chuge, Fan Wenhui. A Survey of Edge Computing Resource Allocation and Task Scheduling Optimization[J]. Journal of System Simulation, 2021, 33(3): 509-520.
DOI
10.16182/j.issn1004731x.joss.20-0584
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons