• DocumentCode
    569819
  • Title

    A Method for Solving the Performance Isolation Problem in PaaS Based on Forecast and Dynamic Programming

  • Author

    Yu, Jiayang ; Rao, Ruonan

  • Author_Institution
    Sch. of Software, Shanghai JiaoTong Univ., Shanghai, China
  • fYear
    2012
  • fDate
    17-19 Aug. 2012
  • Firstpage
    947
  • Lastpage
    950
  • 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.
  • Keywords
    cloud computing; dynamic programming; resource allocation; virtual machines; PaaS; VM resource forecasting; VM workload; cloud computing; dynamic programming; performance isolation problem; platform as a service; virtual machine workload; Cloud computing; Curve fitting; Dynamic programming; Educational institutions; Monitoring; Resource management; Storage area networks; PaaS; cloud computing; dynamic programming; forecast; performance isolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-2406-9
  • Type

    conf

  • DOI
    10.1109/ICCIS.2012.23
  • Filename
    6301440