{"title":"网格上的交互性:限制与机遇","authors":"M. Meoni","doi":"10.1145/1996130.1996171","DOIUrl":null,"url":null,"abstract":"Grid computing has the intrinsic disadvantages of a batch system: the undetermined delay between the time a job is submitted and the time it is completed. Our approach to this problem is iGrid, a framework that proposes to change the Grid from a batch system to a more interactive distributed platform. Agents are deployed on nodes and wait to be contacted by an interactive job to start the computation, thus bypassing the regular Grid scheduler. A CPU fairshare mechanism allows users to get their fair iGrid machine share over a long period. Our prototype implementation scales to all 400 Grid nodes we were granted executing on top a software for data intensive parallel computing","PeriodicalId":330072,"journal":{"name":"IEEE International Symposium on High-Performance Parallel Distributed Computing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interactivity on the grid: limitations and opportunities\",\"authors\":\"M. Meoni\",\"doi\":\"10.1145/1996130.1996171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Grid computing has the intrinsic disadvantages of a batch system: the undetermined delay between the time a job is submitted and the time it is completed. Our approach to this problem is iGrid, a framework that proposes to change the Grid from a batch system to a more interactive distributed platform. Agents are deployed on nodes and wait to be contacted by an interactive job to start the computation, thus bypassing the regular Grid scheduler. A CPU fairshare mechanism allows users to get their fair iGrid machine share over a long period. Our prototype implementation scales to all 400 Grid nodes we were granted executing on top a software for data intensive parallel computing\",\"PeriodicalId\":330072,\"journal\":{\"name\":\"IEEE International Symposium on High-Performance Parallel Distributed Computing\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Symposium on High-Performance Parallel Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1996130.1996171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on High-Performance Parallel Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1996130.1996171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interactivity on the grid: limitations and opportunities
Grid computing has the intrinsic disadvantages of a batch system: the undetermined delay between the time a job is submitted and the time it is completed. Our approach to this problem is iGrid, a framework that proposes to change the Grid from a batch system to a more interactive distributed platform. Agents are deployed on nodes and wait to be contacted by an interactive job to start the computation, thus bypassing the regular Grid scheduler. A CPU fairshare mechanism allows users to get their fair iGrid machine share over a long period. Our prototype implementation scales to all 400 Grid nodes we were granted executing on top a software for data intensive parallel computing