{"title":"Overview of Container Cloud Task Scheduling","authors":"Cai Zhiyong, Xie Xiaolan","doi":"10.1145/3407703.3407714","DOIUrl":null,"url":null,"abstract":"With the rapid development of cloud computing, virtualization technology represented by container technology is gradually replacing the original virtual machine technology. Introducing the container cloud and its main research direction. Starting from task scheduling, combs and summarizes the current research status of the container cloud task scheduling algorithm, and introduces the current four mainstream container scheduling platforms. According to the independence of scheduling task, it is divided into independent task scheduling and non independent workflow task scheduling. According to the different task scheduling objectives, it is divided into single objective optimization task scheduling algorithm and multi-objective task scheduling algorithm. After a detailed analysis of the advantages and disadvantages of several representative algorithms, the existing improved methods are summarized.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3407703.3407714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the rapid development of cloud computing, virtualization technology represented by container technology is gradually replacing the original virtual machine technology. Introducing the container cloud and its main research direction. Starting from task scheduling, combs and summarizes the current research status of the container cloud task scheduling algorithm, and introduces the current four mainstream container scheduling platforms. According to the independence of scheduling task, it is divided into independent task scheduling and non independent workflow task scheduling. According to the different task scheduling objectives, it is divided into single objective optimization task scheduling algorithm and multi-objective task scheduling algorithm. After a detailed analysis of the advantages and disadvantages of several representative algorithms, the existing improved methods are summarized.