返回
Sim-DRS: a similarity-based dynamic resource scheduling algorithm for microservice-based web systems
DOI:10.7717/peerj-cs.824.png)
摘要
En 中文
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.
Keyword:
Microservice
Dynamic resource scheduling
Problem similarity
NSGA-II
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.5
论文数:
3.4K
被引数:
6.9K
机构
引用论文
Genetic Algorithm for Multi-Objective Optimization of Container Allocation in Cloud Architecture云架构下容器分配多目标优化的遗传算法
Multi-objective accelerated particle swarm optimization with a container-based scheduling for Internet-of-Things in cloud environment基于容器的多目标加速粒子群算法在云环境下的物联网调度

