{"title":"Balancing high performance and energy efficiency in cloud allocation problems","authors":"S. Filiposka, A. Mishev, K. Gilly","doi":"10.1109/EUROCON.2017.8011211","DOIUrl":null,"url":null,"abstract":"The problem of efficient resource management in large cloud data centres is well recognised in the cloud management community. With the rising demand for cloud services and expansion of the size and distribution of data centres, the repercussions of not taking into account all parameters of interest while allocating resources are becoming significant. Hence, one of the major issues today is how to reconcile between performance and energy efficiency so that customers can exploit the provided resources to their maximum while the provider still keeps a well balanced approach that ensures low cost and optimal power consumption. The main goal of this paper is to investigate what can be expected of performance optimisation allocation techniques from a power consumption perspective. The presented results show that careful design of resource allocation algorithms can lead towards solutions that are not only high performing, but are also good in efficient power consumption.","PeriodicalId":114100,"journal":{"name":"IEEE EUROCON 2017 -17th International Conference on Smart Technologies","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE EUROCON 2017 -17th International Conference on Smart Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUROCON.2017.8011211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The problem of efficient resource management in large cloud data centres is well recognised in the cloud management community. With the rising demand for cloud services and expansion of the size and distribution of data centres, the repercussions of not taking into account all parameters of interest while allocating resources are becoming significant. Hence, one of the major issues today is how to reconcile between performance and energy efficiency so that customers can exploit the provided resources to their maximum while the provider still keeps a well balanced approach that ensures low cost and optimal power consumption. The main goal of this paper is to investigate what can be expected of performance optimisation allocation techniques from a power consumption perspective. The presented results show that careful design of resource allocation algorithms can lead towards solutions that are not only high performing, but are also good in efficient power consumption.