{"title":"云环境下负载均衡算法的比较研究","authors":"Mostefa Hamdani, Youcef Aklouf, Hichem Chaalal","doi":"10.1145/3447568.3448466","DOIUrl":null,"url":null,"abstract":"Cloud computing is an emerging computational model for delivering services over the internet to clients at any time and any location on a pay-per-use basis. Load balancing is a set of techniques used to improve resource utilization and affect the overall performance of the cloud computing platform. In this paper, comparative study is performed for existing Round Robin algorithm, throttled algorithm and Equally Spread Current Execution Load algorithm on the basis of following metrics: overall response time, data center processing time, data center request servicing times and the overall processing cost.","PeriodicalId":335307,"journal":{"name":"Proceedings of the 10th International Conference on Information Systems and Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comparative Study on Load Balancing Algorithms in Cloud Environment\",\"authors\":\"Mostefa Hamdani, Youcef Aklouf, Hichem Chaalal\",\"doi\":\"10.1145/3447568.3448466\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing is an emerging computational model for delivering services over the internet to clients at any time and any location on a pay-per-use basis. Load balancing is a set of techniques used to improve resource utilization and affect the overall performance of the cloud computing platform. In this paper, comparative study is performed for existing Round Robin algorithm, throttled algorithm and Equally Spread Current Execution Load algorithm on the basis of following metrics: overall response time, data center processing time, data center request servicing times and the overall processing cost.\",\"PeriodicalId\":335307,\"journal\":{\"name\":\"Proceedings of the 10th International Conference on Information Systems and Technologies\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 10th International Conference on Information Systems and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3447568.3448466\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th International Conference on Information Systems and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3447568.3448466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
云计算是一种新兴的计算模型,用于在任何时间、任何地点以按次付费的方式通过互联网向客户提供服务。负载平衡是一组用于提高资源利用率和影响云计算平台整体性能的技术。本文以总体响应时间、数据中心处理时间、数据中心请求服务时间和总体处理成本为指标,对现有的Round Robin算法、throttted算法和equal Spread Current Execution Load算法进行了对比研究。
A Comparative Study on Load Balancing Algorithms in Cloud Environment
Cloud computing is an emerging computational model for delivering services over the internet to clients at any time and any location on a pay-per-use basis. Load balancing is a set of techniques used to improve resource utilization and affect the overall performance of the cloud computing platform. In this paper, comparative study is performed for existing Round Robin algorithm, throttled algorithm and Equally Spread Current Execution Load algorithm on the basis of following metrics: overall response time, data center processing time, data center request servicing times and the overall processing cost.