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Maximize Profit for Big Data Processing in Distributed Datacenters

  • Weidong Bao
  • Ji WangEmail author
  • Xiaomin Zhu
Chapter
Part of the Computer Communications and Networks book series (CCN)

Abstract

The increasing demand of Big Data processing in distributed datacenters calls for a highly efficient framework to maximize profit of the cloud service providers, i.e., CSPs. In this work, we jointly consider the key parameters of datacenter operations to model service requests acceptance control, requests dispatching, and VM provisioning as an integrated optimization framework based on Lyapunov optimization theory. An efficient online algorithm is proposed to provide CSPs with the advices concerning the three important control decisions to obtain the maximal time-averaged profit over the long run. A rigorous mathematical analysis is given to verify that the proposed method is able to obtain a time averaged profit that is arbitrarily close to optimum, while keeping the system stable.

Keywords

Time Slot Virtual Machine Electricity Price Service Request Cloud Service Provider 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.College of Information System and ManagementNational University of Defense TechnologyChangshaPeople’s Republic of China

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