Juan C. Martinez, Lixi Wang, Ming Zhao, S. Masoud Sadjadi
{"title":"Experimental study of large-scale computing on virtualized resources","authors":"Juan C. Martinez, Lixi Wang, Ming Zhao, S. Masoud Sadjadi","doi":"10.1145/1555336.1555343","DOIUrl":null,"url":null,"abstract":"Parallel applications have a pressing need for the utilization of more and more resources to meet user's performance expectations. Unfortunately, these resources are not necessarily available within one single domain. Grid computing provides a solution to scaling out from a single domain; however, it also brings another problem for some applications: resource heterogeneity. Since some applications require having homogeneous resources for their execution, virtualizing the resources is a noble and viable solution.\n In this paper, we present two parallel applications, namely WRF and mpiBLAST and report the results of different runs scaling them out from 2 to 128 virtual nodes. Later, we analyze the effects of scaling out based on the application's communication behavior.","PeriodicalId":176127,"journal":{"name":"Virtualization Technologies in Distributed Computing","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virtualization Technologies in Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1555336.1555343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
Parallel applications have a pressing need for the utilization of more and more resources to meet user's performance expectations. Unfortunately, these resources are not necessarily available within one single domain. Grid computing provides a solution to scaling out from a single domain; however, it also brings another problem for some applications: resource heterogeneity. Since some applications require having homogeneous resources for their execution, virtualizing the resources is a noble and viable solution.
In this paper, we present two parallel applications, namely WRF and mpiBLAST and report the results of different runs scaling them out from 2 to 128 virtual nodes. Later, we analyze the effects of scaling out based on the application's communication behavior.