• DocumentCode
    3079667
  • Title

    Study of the KVM CPU Performance of Open-Source Cloud Management Platforms

  • Author

    Gomez-Folgar, F. ; Garcia-Loureiro, A.J. ; Pena, T.F. ; Zablah, J.I. ; Seoane, N.

  • Author_Institution
    Centro Singular de Investig. en Tecnoloxias da Informacion, Univ. de Santiago de Compostela, Santiago de Compostela, Spain
  • fYear
    2015
  • fDate
    4-7 May 2015
  • Firstpage
    1225
  • Lastpage
    1228
  • Abstract
    Nowadays, there are several open-source solutions for building private, public and even hybrid clouds such as Eucalyptus, Apache Cloud Stack and Open Stack. KVM is one of the supported hypervisors for these cloud platforms. Different KVM configurations are being supplied by these platforms and, in some cases, a subset of CPU features are being presented to guest systems, providing a basic abstraction of the underlying CPU. One of the reasons for limiting the features of the Virtual CPU is to guarantee the guest compatibility with different hardware in heterogeneous environments. However, in a large number of situations, the cloud is deployed on an homogeneous set of hosts. In these cases, this limitation can affect the performance of applications being executed in guest systems. In this paper, we have analyzed the architecture, the KVM setup, and the performance of the Virtual Machines deployed by three popular cloud management platforms: Eucalyptus, Apache Cloud Stack and Open Stack, employing a representative set of applications.
  • Keywords
    cloud computing; data privacy; public domain software; virtual machines; Apache CloudStack; CPU features; Eucalyptus; KVM CPU performance; OpenStack; cloud management platforms; guest compatibility; heterogeneous environments; hybrid clouds; hypervisors; open-source cloud management platforms; open-source solutions; private clouds; public clouds; virtual CPU; virtual machines; Cloud computing; Clouds; Graphics; Open source software; Streaming media; Three-dimensional displays; Virtual machine monitors; KVM; cloud; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CCGrid.2015.103
  • Filename
    7152627