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Research on collaborative edge network service migration strategy based on crowd clustering.

Junjie Cao1,2, Zhiyong Yu3, Bin Xue2

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Summary

This study introduces a groupwise cluster collaboration strategy for edge networks, enhancing computation offloading for Crowd Intelligent Devices (CIDS). The approach mitigates service interruption and improves migration efficiency in dynamic environments.

Keywords:
Crowd intelligent devicesDeep reinforcement learningMarkov decision processService migration strategy

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Area of Science:

  • Edge Computing
  • Artificial Intelligence
  • Network Engineering

Background:

  • Crowd Intelligent Devices (CIDS) offer reliable, low-latency computing via computation offloading in edge networks.
  • Dynamic network terminals and limited edge server coverage cause data loss and service interruptions.
  • High-speed mobility of intelligent terminals complicates offloading and service migration strategies.

Purpose of the Study:

  • To explore a computation offloading model using cluster intelligence collaboration in heterogeneous edge networks.
  • To introduce a switching strategy for split-cluster group collaboration with defined roles.
  • To formulate an optimal offloading strategy for group smart terminals considering various performance factors.

Main Methods:

  • Developed a cluster intelligence collaboration model for heterogeneous edge networks.
  • Implemented a switching strategy for split-cluster group collaboration.
  • Formulated the optimal offloading strategy as a Markov decision process.
  • Utilized the deep reinforcement learning-based CCSMS algorithm for strategy implementation.

Main Results:

  • The proposed groupwise cluster collaboration strategy effectively mitigates interruption delay.
  • Enhanced service migration efficiency in dynamic edge network environments.
  • Demonstrated the viability of collaborative intelligence for complex edge computing challenges.

Conclusions:

  • Groupwise cluster collaboration is a promising approach for edge network service migration.
  • The CCSMS algorithm effectively implements the optimal offloading strategy.
  • Addresses key challenges in dynamic edge networks, improving user experience and service reliability.