Abstract
We consider the problem of scheduling jobs in a processor with temperature constraints. In our model, unit jobs arrive over time, each with a deadline and a heat contribution. The objective is to maximize the total number of completed jobs while keeping the system within a given temperature threshold. Our main result is the analysis of a large class of ‘reasonable’ algorithms. We analyse the competitive ratio of these algorithms as a function of the cooling factor of the system, and show that they are optimal by giving a matching lower bound. We also give some results concerning the multiple machines case.
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Birks, M., Fung, S.P.Y. (2010). Temperature Aware Online Scheduling with a Low Cooling Factor. In: Kratochvíl, J., Li, A., Fiala, J., Kolman, P. (eds) Theory and Applications of Models of Computation. TAMC 2010. Lecture Notes in Computer Science, vol 6108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13562-0_11
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DOI: https://doi.org/10.1007/978-3-642-13562-0_11
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