• DocumentCode
    1849441
  • Title

    QoS-Oriented Monitoring Model of Cloud Computing Resources Availability

  • Author

    Wang En Dong ; Wu Nan ; Li Xu

  • Author_Institution
    State Key Lab. of High-end Server & Storage Technol., Beijing, China
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    1537
  • Lastpage
    1540
  • Abstract
    With the development of cloud computing, many critical applications have been supported to provide many key services in the cloud computing. So the availability of cloud computing services turns to be higher and higher. Because resources of cloud computing are distributed, dynamic and heterogeneous, traditional research on availability cannot be good to adapt to the cloud computing new features. This paper does research on QoS-oriented cloud computing resources availability. First, a monitoring model of cloud computing resources availability is created. Then, according to the dynamic process of the cloud computing service, the availability of cloud computing resources is analyzed from QoS of a single cloud resource node which is described by common attribution and special attribution to QoS of some cloud resources which are connected by series model, parallel model and mix model to provide service. According to the three models and the analysis of the single cloud service resource, the availability of cloud computing service is monitored.
  • Keywords
    cloud computing; quality of service; resource allocation; QoS common attribution; QoS special attribution; QoS-oriented monitoring model; cloud computing development; cloud computing resource avaliability; cloud computing services; mix model; parallel model; quality of service; resources availability monitoring model; series model; single cloud resource node; Availability; Cloud computing; Computational modeling; Equations; Mathematical model; Optimization; Quality of service; QoS; availability; cloud computing; service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.404
  • Filename
    6643322