Open AccessSim-DRS: a similarity-based dynamic resource scheduling algorithm for microservice-based web systems
Author(s) -
Yiren Li,
Tieke Li,
Pei Yuan Shen,
Hongye Liang,
Wenjing Liu,
Shuai Wang,
Yufei Song,
Bao Li
Publication year - 2021
Publication title -
peerj. computer science
Language(s) - English
Resource type - Journals
ISSN - 2376-5992
DOI - 10.7717/peerj-cs.824
Subject(s) - computer science , microservices , distributed computing , scalability , cloud computing , scheduling (production processes) , modular design , dynamic priority scheduling , benchmark (surveying) , architecture , operating system , mathematical optimization , schedule , art , mathematics , geodesy , visual arts , geography
Microservice-based Web Systems (MWS), which provide a fundamental infrastructure for constructing large-scale cloud-based Web applications, are designed as a set of independent, small and modular microservices implementing individual tasks and communicating with messages. This microservice-based architecture offers great application scalability, but meanwhile incurs complex and reactive autoscaling actions that are performed dynamically and periodically based on current workloads. However, this problem has thus far remained largely unexplored. In this paper, we formulate a problem of Dynamic Resource Scheduling for Microservice-based Web Systems (DRS-MWS) and propose a similarity-based heuristic scheduling algorithm that aims to quickly find viable scheduling schemes by utilizing solutions to similar problems. The performance superiority of the proposed scheduling solution in comparison with three state-of-the-art algorithms is illustrated by experimental results generated through a well-known microservice benchmark on disparate computing nodes in public clouds.