• DocumentCode
    3722545
  • Title

    Research on Application Classification Method in Cloud Computing Environment

  • Author

    Jinbao Chen;Junjie Peng;Xiaofei Zhi;Meikang Qiu

  • Author_Institution
    Sch. of Comput. Eng. &
  • fYear
    2015
  • Firstpage
    524
  • Lastpage
    529
  • Abstract
    Energy consumption is very important to cloud data centers, as it takes a large quotient of the operation cost much related to the environment. To decrease the energy consumption in cloud data center, one possible solution is processing different types of applications in clouds with different strategies. However, to reach this goal, the prime question to be solved is how to effectively classify the type of cloud applications. To solve the problem, this paper uses the method to monitor the resource usage of different applications in clouds, and get the resource usage parameters of different applications. Through analysis, we find the main parameters, which can distinguish different types of applications. Using these parameters we draw out the features of the applications and establish a model to classify different cloud applications. Extensive experiments show that the model put forward can effectively and accurately classify CPU intensive application, I/O intensive application and network intensive application. It can be used as a basis on how to high efficiently use the cloud resources.
  • Keywords
    "Cloud computing","Predictive models","Computational modeling","Context","Servers","Computers","Energy consumption"
  • Publisher
    ieee
  • Conference_Titel
    Cyber Security and Cloud Computing (CSCloud), 2015 IEEE 2nd International Conference on
  • Type

    conf

  • DOI
    10.1109/CSCloud.2015.36
  • Filename
    7371535