{"title":"Tupleware: A Distributed Tuple Space for Cluster Computing","authors":"A. Atkinson","doi":"10.1109/PDCAT.2008.63","DOIUrl":null,"url":null,"abstract":"This paper presents Tupleware, a cluster middleware which provides a distributed tuple space intended for use by computationally intensive scientific and numerical applications. It aims to add no extra burden to the application programmer due to the distribution of the tuple space, and uses a decentralised approach and intelligent tuple search and retrieval to provide a scalable and efficient execution environment. Tupleware is evaluated using two applications: a modified quicksort and an ocean model, which demonstrates good scalability and a low system overhead.","PeriodicalId":282779,"journal":{"name":"2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies","volume":"472 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2008.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This paper presents Tupleware, a cluster middleware which provides a distributed tuple space intended for use by computationally intensive scientific and numerical applications. It aims to add no extra burden to the application programmer due to the distribution of the tuple space, and uses a decentralised approach and intelligent tuple search and retrieval to provide a scalable and efficient execution environment. Tupleware is evaluated using two applications: a modified quicksort and an ocean model, which demonstrates good scalability and a low system overhead.