• DocumentCode
    3678397
  • Title

    Can Cloud Service Get His Family? A Step Towards Service Family Detecting

  • Author

    Xinkui Zhao;Jianwei Yin;Chen Zhi;Pengxiang Lin;Zuoning Chen

  • Author_Institution
    Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
  • fYear
    2015
  • Firstpage
    496
  • Lastpage
    497
  • Abstract
    In cloud computing environment, an application is always composed of several service components. A collection of service components is called a service family, and we name the cloud service components as service family members. In this paper, we propose a solution named Icebreaker to assemble service components belonging to the same application without sniffing tenants´ privacy. Icebreaker characterizes each service component with basic resource consuming information and proposes a new distance calculating algorithm named iEntropy to distinct service components. We adaptively adopt Affinity Propagation (AP) clustering algorithm and maximum Silhouette index to identify the number of service family and assemble the service family members. Experiments are conducted on RUBiS, Hadoop and ApacheBench clusters with 169 VMs. Evaluation results show that Icebreaker can get 96.45% accuracy.
  • Keywords
    "Accuracy","Measurement","Clustering algorithms","Entropy","Cloud computing","Monitoring","Servers"
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing (CLUSTER), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/CLUSTER.2015.80
  • Filename
    7307627