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Sim-DRS: a similarity-based dynamic resource scheduling algorithm for microservice-based web systems.

Yiren Li1,2, Tieke Li1, Pei Shen2

  • 1School of Economics and Management, University of Science and Technology Beijing, Beijing, China.

Peerj. Computer Science
|January 17, 2022
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Summary
This summary is machine-generated.

This study introduces a new dynamic resource scheduling algorithm for microservice-based web systems (MWS). The proposed similarity-based approach efficiently manages complex autoscaling actions, outperforming existing methods in cloud environments.

Keywords:
Dynamic resource schedulingMicroserviceNSGA-IIProblem similarity

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Area of Science:

  • Computer Science
  • Cloud Computing
  • Software Engineering

Background:

  • Microservice-based Web Systems (MWS) are crucial for large-scale cloud applications, offering scalability through modular services.
  • Autoscaling in MWS, while beneficial for scalability, presents complex and reactive challenges due to dynamic workloads.
  • Existing research has not adequately addressed the dynamic resource scheduling problem in MWS.

Purpose of the Study:

  • To formulate the Dynamic Resource Scheduling for Microservice-based Web Systems (DRS-MWS) problem.
  • To propose a novel similarity-based heuristic scheduling algorithm for MWS.
  • To evaluate the proposed algorithm's performance against state-of-the-art methods.

Main Methods:

  • Formulation of the Dynamic Resource Scheduling for Microservice-based Web Systems (DRS-MWS) problem.
  • Development of a similarity-based heuristic scheduling algorithm leveraging solutions from similar problems.
  • Experimental evaluation using a well-known microservice benchmark on public cloud infrastructure.

Main Results:

  • The proposed similarity-based heuristic scheduling algorithm demonstrates superior performance.
  • Experimental results show significant improvements compared to three state-of-the-art algorithms.
  • The algorithm effectively handles dynamic resource scheduling challenges in MWS.

Conclusions:

  • The developed similarity-based heuristic algorithm provides an effective solution for Dynamic Resource Scheduling in Microservice-based Web Systems.
  • The findings highlight the potential of similarity-based approaches for optimizing MWS autoscaling.
  • The research contributes a novel method for managing complex autoscaling in cloud-based web applications.