Energy-aware management of customer streams (2012)

Author(s): Aidarov K, Ezhilchelvan P, Mitrani I

    Abstract: Customers submit streams of jobs of different types for execution at a service center. The number of jobs in each stream and the rate of their submission are specified. A service level agreement indicates the charge paid by the customer, the quality of service promised by the provider and the penalty to be paid by the latter if the QoS requirement is not met. To save energy, servers may be powered up and down dynamically. The objective is to maximize the revenues received while minimizing the penalties paid and the energy consumption costs of the servers used. To that end, heuristic policies are proposed for making decisions about stream admissions and server activation and deactivation. Those policies are motivated by queueing models. The results of several simulation experiments are described.

      • Date: April 2012
      • Series Title: School of Computing Science Technical Report Series
      • Pages: 8
      • Institution: School of Computing Science, University of Newcastle upon Tyne
      • Publication type: Report
      • Bibliographic status: Published

      Keywords: Service provisioning, Energy saving, Customer streams, Profit maximization, Queueing models

      Staff

      Dr Paul Ezhilchelvan
      Reader in Distributed Computing

      Emeritus Professor Isi Mitrani