articleIEEE Transactions on Mobile ComputingFeb 12, 2022Closed access

Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing

HJHongbo JiangXDXingxia DaiZXZhu XiaoAIArun Iyengar

Hunan University · IBM Research - Thomas J. Watson Research Center

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Abstract

We consider the problem of task offloading and resource allocation in mobile edge computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile devices (MDs) may offload their tasks to edge servers based on the allocated computation (e.g., CPU/GPU cycles and storage) and wireless resources (e.g., bandwidth). However, these resources could not be effectively utilized unless an encouraging resource allocation scheme can be proposed. What’s worse, task offloading incurs additional MEC energy consumption, which inevitably violate the long-term MEC energy budget. Considering these two challenges, we propose an online joint offloading and resource allocation (JORA) framework under the…

Citation impact

367
total citations
FWCI
50.14
Percentile
100%
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53
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Authors

4

Topics & keywords

Topics
Keywords
  • Computer science
  • Mobile edge computing
  • Joint (building)
  • Mobile computing
  • Resource allocation
  • Task (project management)
  • Resource management (computing)
  • Distributed computing
UN Sustainable Development Goals
  • Affordable and clean energy
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