Online algorithms for maximizing weighted throughput of unit jobs with temperature constraints

  • Authors:
  • Martin Birks;Daniel Cole;Stanley P. Fung;Huichao Xue

  • Affiliations:
  • Department of Computer Science, University of Leicester, Leicester, UK LE1 7RH;Department of Computer Science, University of Pittsburgh, Pittsburgh, USA;Department of Computer Science, University of Leicester, Leicester, UK LE1 7RH;Department of Computer Science, University of Pittsburgh, Pittsburgh, USA

  • Venue:
  • Journal of Combinatorial Optimization
  • Year:
  • 2013

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Abstract

We consider a temperature-aware online deadline scheduling model. The objective is to schedule a number of unit jobs, with release dates, deadlines, weights and heat contributions, to maximize the weighted throughput subject to a temperature threshold. We first give an optimally competitive randomized algorithm. Then we give a constant competitive randomized algorithm that allows a tradeoff between the maximum heat contribution of jobs and the competitiveness. Finally we consider the multiple processor case and give several tight upper and lower bounds.