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A multi-stage heuristic method for service caching and task offloading to improve the cooperation between edge and

Xiaoqian Chen1, Tieliang Gao2, Hui Gao1

  • 1Management Center of Informatization, Xinxiang University, Xinxiang, China.

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|July 25, 2022
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This study introduces a novel three-stage heuristic method for joint service caching and task offloading in edge-cloud computing. The approach significantly enhances user satisfaction and resource efficiency by optimizing task distribution.

Keywords:
Edge cloudEdge computingService cachingTask offloading

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Artificial Intelligence

Background:

  • Edge-cloud computing integrates edge and cloud resources for efficient service delivery.
  • Optimizing service caching and task offloading is crucial for user satisfaction and resource efficiency.
  • The joint service caching and task offloading problem in edge-cloud environments is complex and NP-hard.

Purpose of the Study:

  • To address the NP-hard problem of joint service caching and task offloading in edge-cloud computing.
  • To enhance cooperation between edge and cloud resources for improved performance.
  • To develop an efficient heuristic method for solving the formulated problem in polynomial time.

Main Methods:

  • Formulated the joint service caching and task offloading problem as a mixed-integer nonlinear programming problem.
  • Proposed a three-stage heuristic algorithm to solve the problem efficiently.
  • Stage 1: Pre-offload tasks to the cloud to leverage abundant resources.
  • Stage 2: Offload remaining tasks and cache services on edge resources for low latency.
  • Stage 3: Re-offload tasks from cloud to edge to further optimize performance.

Main Results:

  • The proposed heuristic method solves the NP-hard problem in polynomial time.
  • Simulated experiments demonstrate significant performance improvements.
  • Achieved up to 155% increase in user satisfaction.
  • Achieved up to 56.1% increase in resource efficiency.
  • Achieved up to 155% increase in processing efficiency compared to existing methods.

Conclusions:

  • The three-stage heuristic method effectively optimizes joint service caching and task offloading in edge-cloud environments.
  • The proposed approach significantly enhances user satisfaction, resource efficiency, and processing efficiency.
  • This method offers a practical and efficient solution for managing resources in edge-cloud computing systems.