{"title":"Client side reconfiguration on software components for load balancing","authors":"E. Putrycz, G. Bernard","doi":"10.1109/CDCS.2001.918694","DOIUrl":null,"url":null,"abstract":"The size of applications is becoming greater every day. Software components enable developers to easily build large applications with basic reusable parts. However, there is a need for system support to allow these applications to scale to many users and to large networks. Current methods for load balancing cannot be applied, since they are mostly designed for local area networks and the monitoring tools are not sufficient. To allow efficient load balancing, we first have to consider the architecture of the monitoring infrastructure. In this paper, we present a way to build a scalable monitoring platform. By using information provided by this platform, it's possible to build policies for helping system administrators in the management of complex tasks. Using application descriptions, these policies take into account the global architecture and drive reconfigurations using the monitoring data.","PeriodicalId":273489,"journal":{"name":"Proceedings 21st International Conference on Distributed Computing Systems Workshops","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 21st International Conference on Distributed Computing Systems Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDCS.2001.918694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The size of applications is becoming greater every day. Software components enable developers to easily build large applications with basic reusable parts. However, there is a need for system support to allow these applications to scale to many users and to large networks. Current methods for load balancing cannot be applied, since they are mostly designed for local area networks and the monitoring tools are not sufficient. To allow efficient load balancing, we first have to consider the architecture of the monitoring infrastructure. In this paper, we present a way to build a scalable monitoring platform. By using information provided by this platform, it's possible to build policies for helping system administrators in the management of complex tasks. Using application descriptions, these policies take into account the global architecture and drive reconfigurations using the monitoring data.