Joint bandwidth allocation and task offloading in multi-access edge computing
Authors:
- Shudian SongSSShudian Song
- Shuyue MaSMShuyue Ma
- Xiumin ZhuXZXiumin Zhu
- Yumei LiYLYumei Li
- Feng YangFYFeng Yang
- Linbo ZhaiLZLinbo Zhai
- 20 January 2023
- journal article
- research article
- Published by Elsevier in Expert Systems with Applications
- Vol. 217
Abstract
No abstract availableKeywords
Funding Information
- Key Technology Research and Development Program of Shandong Province (2017GGX10142)
This publication has 25 references indexed in Scilit:
- Multi-User Multi-Task Computation Offloading in Green Mobile Edge Cloud ComputingIEEE Transactions on Services Computing, 2018
- Mobile Edge Computing: A SurveyIEEE Internet of Things Journal, 2017
- A Survey on Mobile Edge Computing: The Communication PerspectiveIEEE Communications Surveys & Tutorials, 2017
- Energy-Saving Offloading by Jointly Allocating Radio and Computational Resources for Mobile Edge ComputingIEEE Access, 2017
- Edge Computing: Vision and ChallengesIEEE Internet of Things Journal, 2016
- Efficient Multi-User Computation Offloading for Mobile-Edge Cloud ComputingIEEE/ACM Transactions on Networking, 2015
- Collaborative Task Execution in Mobile Cloud Computing Under a Stochastic Wireless ChannelIEEE Transactions on Wireless Communications, 2014
- Moving Big Data to The Cloud: An Online Cost-Minimizing ApproachIEEE Journal on Selected Areas in Communications, 2013
- Coalitional game theory for communication networksIEEE Signal Processing Magazine, 2009
- Multi-objective self-adaptive differential evolution with elitist archive and crowding entropy-based diversity measureSoft Computing, 2009