{"title":"执行上下文对网格作业性能的影响","authors":"T. Glatard, D. Lingrand, J. Montagnat, M. Riveill","doi":"10.1109/CCGRID.2007.62","DOIUrl":null,"url":null,"abstract":"In this paper, we examine how the execution context of grid jobs can help to refine submission strategies on a production grid. On this kind of infrastructure, the latency highly impacts performances. We present experiments that quantify the dependencies between the grid latency and both internal and external context parameters on the EGEE grid infrastructure. We show how job submission managers, job execution sites and the submission date can be statistically correlated to grid performances.","PeriodicalId":278535,"journal":{"name":"Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Impact of the execution context on Grid job performances\",\"authors\":\"T. Glatard, D. Lingrand, J. Montagnat, M. Riveill\",\"doi\":\"10.1109/CCGRID.2007.62\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we examine how the execution context of grid jobs can help to refine submission strategies on a production grid. On this kind of infrastructure, the latency highly impacts performances. We present experiments that quantify the dependencies between the grid latency and both internal and external context parameters on the EGEE grid infrastructure. We show how job submission managers, job execution sites and the submission date can be statistically correlated to grid performances.\",\"PeriodicalId\":278535,\"journal\":{\"name\":\"Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGRID.2007.62\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2007.62","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of the execution context on Grid job performances
In this paper, we examine how the execution context of grid jobs can help to refine submission strategies on a production grid. On this kind of infrastructure, the latency highly impacts performances. We present experiments that quantify the dependencies between the grid latency and both internal and external context parameters on the EGEE grid infrastructure. We show how job submission managers, job execution sites and the submission date can be statistically correlated to grid performances.