{"title":"Resource Discovery and Scheduling in Unstructured Peer-to-Peer Desktop Grids","authors":"S. Kwan, J. Muppala","doi":"10.1109/ICPPW.2010.49","DOIUrl":null,"url":null,"abstract":"In this paper, we explore resource discovery and scheduling issues that arise in unstructured peer-to-peer (P2P) desktop grids. We examine the use of a super-peer based approach to address these issues. The super-peers form a resource information tracking and exchange overlay to enable users to rapidly locate resources for remote execution of jobs. Resource availability information is exchanged among the super-peers using a light-weight threshold-driven gossip protocol with the aim of minimizing the resource discovery overhead. We conduct detailed simulation experiments to illustrate the comparative results. Our results indicate that this approach offers a lightweight and scalable method for managing resources in a desktop grid.","PeriodicalId":415472,"journal":{"name":"2010 39th International Conference on Parallel Processing Workshops","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 39th International Conference on Parallel Processing Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPPW.2010.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, we explore resource discovery and scheduling issues that arise in unstructured peer-to-peer (P2P) desktop grids. We examine the use of a super-peer based approach to address these issues. The super-peers form a resource information tracking and exchange overlay to enable users to rapidly locate resources for remote execution of jobs. Resource availability information is exchanged among the super-peers using a light-weight threshold-driven gossip protocol with the aim of minimizing the resource discovery overhead. We conduct detailed simulation experiments to illustrate the comparative results. Our results indicate that this approach offers a lightweight and scalable method for managing resources in a desktop grid.