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IoT-RECSM-Resource-Constrained Smart Service Migration Framework for IoT Edge Computing Environment.

Zhongyi Zhai1,2, Ke Xiang1, Lingzhong Zhao1

  • 1Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, GuiLin 541004, China.

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|April 23, 2020
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Summary
This summary is machine-generated.

This study introduces a framework and algorithm for smart service migration in resource-constrained edge computing environments for the Internet of Things (IoT). The solution dynamically moves services from overloaded edge nodes to available ones, ensuring stability and reducing data traffic.

Keywords:
Internet of Thingsedge computingresource-constrainedsmart service migration

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Internet of Things (IoT)

Background:

  • Edge-based computing paradigm (ECP) is innovative for processing distributed IoT sensor data.
  • Edge nodes in ECP are typically resource-constrained, leading to potential failures when service demands exceed capacity.

Purpose of the Study:

  • To propose a resource-constrained smart service migration framework (IoT-RECSM) for edge computing environments.
  • To develop a dynamic edge service migration algorithm to address resource limitations in IoT edge nodes.

Main Methods:

  • Developed the IoT-RECSM framework with a dynamic edge service migration algorithm.
  • Presented four abstract models for real-time quantitative evaluation of edge node resource usage and service consumption.
  • Implemented a prototype system to simulate edge service migration in an IoT environment.

Main Results:

  • Simulated an IoT case with 10 edge nodes to evaluate the proposed approach.
  • Demonstrated that service migration maintains the stability of service execution on edge nodes.
  • Showed that the proposed approach reduces sensor data traffic between edge nodes and the cloud center.

Conclusions:

  • The IoT-RECSM framework and dynamic migration algorithm effectively manage resources in constrained edge computing environments.
  • Dynamic service migration is a viable strategy for enhancing the reliability and efficiency of IoT systems.
  • The approach contributes to optimizing resource utilization and reducing network load in distributed IoT deployments.