{"title":"A Method for Solving the Performance Isolation Problem in PaaS Based on Forecast and Dynamic Programming","authors":"Jiayang Yu, R. Rao","doi":"10.1109/ICCIS.2012.23","DOIUrl":null,"url":null,"abstract":"As a Platform as a Service (PaaS) designer, we should satisfy customers' demands of resources and to save resources in a cloud at the same time. In PaaS, one of the main problems is that if one of virtual machines' (VM) workload increases fast in a host, other VMs' performance characteristics may be influenced negatively. To solve the performance isolation problem, this paper gives a method. In this method, we use an algorithm to forecast all VMs' resources usage at first. Then we find which VMs' workloads may increase fast in future. We move these VMs to hosts which have more resources and other VMs' performance characteristics will not be affected at the same time. So the main problem now is which hosts we should use to move these VMs as mentioned above to. In this paper, we use Dynamic Programming method to solve this problem. So, with all of these algorithms, in this paper, we propose a strategy to solve Performance Isolation problem in PaaS.","PeriodicalId":269967,"journal":{"name":"2012 Fourth International Conference on Computational and Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Computational and Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2012.23","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
As a Platform as a Service (PaaS) designer, we should satisfy customers' demands of resources and to save resources in a cloud at the same time. In PaaS, one of the main problems is that if one of virtual machines' (VM) workload increases fast in a host, other VMs' performance characteristics may be influenced negatively. To solve the performance isolation problem, this paper gives a method. In this method, we use an algorithm to forecast all VMs' resources usage at first. Then we find which VMs' workloads may increase fast in future. We move these VMs to hosts which have more resources and other VMs' performance characteristics will not be affected at the same time. So the main problem now is which hosts we should use to move these VMs as mentioned above to. In this paper, we use Dynamic Programming method to solve this problem. So, with all of these algorithms, in this paper, we propose a strategy to solve Performance Isolation problem in PaaS.