{"title":"QoS aware policy-based management architecture for service grids","authors":"Edgar Magaña, J. Serrat","doi":"10.1109/WETICE.2005.49","DOIUrl":null,"url":null,"abstract":"This paper presents flexible and versatile policy-based grid services management architecture. Although applicable to any user profiles, our system is essentially intended for non-massive resource owners accessing large amounts of computing, memory and storage resources. Unlike similar architectures, this approach is able to manage service resources requirements demanded by service's users, providers and services themselves. This architecture guarantees demanded levels of quality of service (QoS), based on the maximization of a fair and balanced resources exploitation. The presented framework is scalable as well as extensible reducing procurement, deployment, maintenance and operational costs through multiple infrastructures regardless network technology, operative platform or administrative domain.","PeriodicalId":128074,"journal":{"name":"14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise (WETICE'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise (WETICE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WETICE.2005.49","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
This paper presents flexible and versatile policy-based grid services management architecture. Although applicable to any user profiles, our system is essentially intended for non-massive resource owners accessing large amounts of computing, memory and storage resources. Unlike similar architectures, this approach is able to manage service resources requirements demanded by service's users, providers and services themselves. This architecture guarantees demanded levels of quality of service (QoS), based on the maximization of a fair and balanced resources exploitation. The presented framework is scalable as well as extensible reducing procurement, deployment, maintenance and operational costs through multiple infrastructures regardless network technology, operative platform or administrative domain.