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Collaborative Task Offloading and Service Caching Strategy for Mobile Edge Computing.

Xiang Liu1, Xu Zhao2, Guojin Liu1

  • 1School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.

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Summary
This summary is machine-generated.

This study introduces a dynamic caching strategy for mobile edge computing (MEC) to optimize task offloading. The proposed joint task offloading and service caching (JTOSC) method improves performance by balancing edge load and reducing delays.

Keywords:
collaborationfairnessload balancemobile edge computingresource allocationservice cachingtask offloading

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Area of Science:

  • Computer Science
  • Networking
  • Distributed Systems

Background:

  • Mobile Edge Computing (MEC) addresses limitations of resource-constrained devices by bringing cloud functionalities closer.
  • Task offloading and service caching are crucial for reducing latency and managing edge server load in MEC.

Purpose of the Study:

  • To investigate collaborative task offloading in MEC with a focus on dynamic service caching strategies.
  • To address the challenge of limited edge server storage and variable user demands.

Main Methods:

  • A two-level computing strategy, Joint Task Offloading and Service Caching (JTOSC), is proposed.
  • The outer layer uses Gibbs sampling for dynamic service caching decisions.
  • The inner layer employs fairness-aware allocation and bilateral matching for resource allocation and task offloading.

Main Results:

  • The JTOSC strategy demonstrates superior performance compared to four other strategies.
  • Key performance indicators include reduced maximum offloading delay, enhanced service cache hit rate, and improved edge load balance.

Conclusions:

  • The proposed dynamic caching strategy effectively optimizes task offloading in MEC.
  • JTOSC provides a robust solution for managing resources and user demands in edge computing environments.