• DocumentCode
    2023675
  • Title

    A Reality Check of Multiple Snowball Tree File Dissemination in Large Scale Cloud Cluster

  • Author

    Zhaoning, Zhang ; Xicheng, Lu ; Yuxing, Peng ; Huiba, Li

  • fYear
    2012
  • fDate
    11-11 April 2012
  • Firstpage
    76
  • Lastpage
    80
  • Abstract
    Nowadays, Infrastructure-as-a-Service (IaaS) cloud become popular to provide more and more compute powers. The importance of resources management in the private cloud clusters raise correspondingly, as it´s the significate guarantee to the service quality. When IaaS providers provide user large scale of virtual machine instances, users can´t stand long for the preparation phase of the instances initialization, especially when the scale is really large. In this paper, we present a reality check of IaaS cloud large file dissemination. We deploy the experiments in National Super Computing Center in Tianjin (NSCC-TJ), China, which use multiple snowball tree algorithm to dissemination virtual machine images, software packages, software or system kernel updates in large quantity. We optimize and accelerate the algorithm to fit our system and environment. As a comparison, it speed up the image dissemination progress to 1 hour from 30 hours using Eucalyptus.
  • Keywords
    cloud computing; resource allocation; software packages; tree data structures; virtual machines; IaaS cloud; IaaS provider; NSCC-TJ; National Super Computing Center in Tianjin; algorithm optimization; infrastructure-as-a-service cloud; instance initialization; large scale cloud cluster; multiple snowball tree file dissemination; private cloud clusters; resource management; service quality; software packages; system kernel updates; virtual machine image dissemination; virtual machine instances; Acceleration; Cloud computing; Clustering algorithms; Concurrent computing; Servers; Virtual machining; Cloud; Dissemination; Snowball Tree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW), 2012 15th IEEE International Symposium on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-4673-0900-4
  • Type

    conf

  • DOI
    10.1109/ISORCW.2012.24
  • Filename
    6196106