B. Vianna, A. A. Fonseca, Nilmax Teones Moura, L. T. Menezes, H. A. Mendes, J. A. D. Silva, Cristina Boeres, Vinod E. F. Rebello
{"title":"A tool for the design and evaluation of hybrid scheduling algorithms for computational grids","authors":"B. Vianna, A. A. Fonseca, Nilmax Teones Moura, L. T. Menezes, H. A. Mendes, J. A. D. Silva, Cristina Boeres, Vinod E. F. Rebello","doi":"10.1145/1028493.1028500","DOIUrl":null,"url":null,"abstract":"One of the objectives of computational grids is to offer applications the collective computational power of distributed but typically shared heterogeneous resources. Unfortunately, efficiently harnessing the performance potential of such systems (i.e. how and where applications should execute on the grid) is a challenging endeavor due principally to the distributed, shared and heterogeneous nature of the resources involved. This paper presents a tool to aid the design and evaluation of scheduling policies suitable for efficient execution of parallel applications on computational grids.","PeriodicalId":313448,"journal":{"name":"Middleware for Grid Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Middleware for Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1028493.1028500","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
One of the objectives of computational grids is to offer applications the collective computational power of distributed but typically shared heterogeneous resources. Unfortunately, efficiently harnessing the performance potential of such systems (i.e. how and where applications should execute on the grid) is a challenging endeavor due principally to the distributed, shared and heterogeneous nature of the resources involved. This paper presents a tool to aid the design and evaluation of scheduling policies suitable for efficient execution of parallel applications on computational grids.