Systems Engineering and Electronics

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Strategy of servers awakening based on dynamic threshold in cloud computing

CHENG Chun-ling1, WANG Ying1, ZHANG Deng-yin2   

  1. 1. College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
    2. Internet of Things Technology Park, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Online:2015-05-25 Published:2010-01-03

Abstract:

The dynamic powering on/off servers (DPS) strategy based on reservation sets the static thres-hold of the task request number beforehand, which may cause frequent switching of the server status. To solve this problem, a strategy of servers awakening based on the dynamic threshold in cloud computing is proposed. Firstly, the queuing model with impatient tasks is introduced to model the task scheduling in the cloud computing system, and analyze the average number of task betrayal and the cost of power consumption, thereby the strategy of dynamicly adjusting the threshold of the task request number is presented. After that, a server is chosen to be awakened according to the cold area where the server located and the length of its shutdown time. The simulation results show that the proposed strategy can ensure the average response time for tasks and reduce the energy cost in cloud computing system efficiently.

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