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Fuzzy-Based Microservice Resource Management Platform for Edge Computing in the Internet of Things
David Chunhu Li1, Chiing-Ting Huang2, Chia-Wei Tseng2
1Information Technology and Management Program, Ming Chuan University, Taoyuan City 333321, Taiwan.
Sensors (Basel, Switzerland)
|June 2, 2021
Summary
This study introduces a microservice resource management platform for edge computing. Its fuzzy-based microservice computing resource scaling (FMCRS) algorithm efficiently manages resources, reducing response times and network allocation surges.
Area of Science:
- Computer Science
- Distributed Systems
- Edge Computing
Background:
- Edge computing is crucial for smart Internet of Things (IoT) applications due to real-time operation and low latency.
- Microservices are increasingly adopted in edge networks for their efficiency and flexibility.
- Limited edge resources necessitate advanced resource scheduling for microservice applications.
Purpose of the Study:
- To develop and implement a microservice resource management platform tailored for edge computing networks.
- To design an algorithm for dynamic microservice resource scaling in resource-constrained edge environments.
- To propose and validate novel methods for microservice resource expansion based on edge node utilization.
Main Methods:
- Development of a microservice resource management platform for edge computing.
- Design of a fuzzy-based microservice computing resource scaling (FMCRS) algorithm.
- Implementation of two microservice resource expansion methods leveraging edge network node resource usage.
Main Results:
- The platform successfully reduced response times for microservice resource adjustments.
- Demonstrated dynamic horizontal and vertical scaling of microservices.
- FMCRS algorithm effectively reduced overall network resource allocation surges compared to other methods.
Conclusions:
- The developed platform and FMCRS algorithm are highly suitable for edge computing microservice management.
- The proposed methods provide efficient resource management in dynamic edge environments.
- FMCRS offers a robust solution for optimizing resource allocation in edge computing networks.
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