Approximation algorithms for unrelated machine scheduling with an energy budget

  • Authors:
  • Lin Chen;Wenchang Luo;Guochuan Zhang

  • Affiliations:
  • College of Computer Science, Zhejiang University, Hangzhou, China;Faculty of Science, Ningbo University, Ningbo, China;College of Computer Science, Zhejiang University, Hangzhou, China

  • Venue:
  • FAW-AAIM'11 Proceedings of the 5th joint international frontiers in algorithmics, and 7th international conference on Algorithmic aspects in information and management
  • Year:
  • 2011

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Abstract

We consider the problem of unrelated parallel machine scheduling when the DVS (dynamic voltage scaling) method is used to conserve energy consumption. Given an energy budget, we present (2+ε)- approximation algorithms for the makespan minimization problem under two different settings, the continuous model in which speeds are allowed to be any real number in [smin, smax] and the discrete model in which only d distinct speeds are available. We also show how to derive a 2- approximation algorithm if the energy budget is allowed to be slightly exceeded.