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 give an optimal randomized algorithm and another resource-augmented constant-competitive randomized algorithm for the problem. We also give almost tight upper and lower bounds for the multiple processor case.
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References
Andelman, N., Mansour, Y., Zhu, A.: Competitive queueing policies for QoS switches. In: Proceedings of 14th ACM-SIAM Symposium on Discrete Algorithms, pp. 761–770 (2003)
Awerbuch, B., Bartal, Y., Fiat, A., Rosen, A.: Competitive non-preemptive call control. In: Proceedings of 5th ACM-SIAM Symposium on Discrete Algorithms, pp. 312–320 (1994)
Bansal, N., Kimbrel, T., Pruhs, K.: Dynamic speed scaling to manage energy and temperature. Journal of the ACMÂ 54(1) (2007)
Birks, M., Fung, S.P.Y.: Temperature aware online scheduling with a low cooling factor. In: KratochvÃl, J., Li, A., Fiala, J., Kolman, P. (eds.) TAMC 2010. LNCS, vol. 6108, pp. 105–116. Springer, Heidelberg (2010)
Borodin, A., El-Yaniv, R.: Online Computation and Competitive Analysis. Cambridge University Press, New York (1998)
Chin, F.Y.L., Chrobak, M., Fung, S.P.Y., Jawor, W., Sgall, J., Tichý, T.: Online competitive algorithms for maximizing weighted throughput of unit jobs. Journal of Discrete Algorithms 4(2), 255–276 (2006)
Chin, F.Y.L., Fung, S.P.Y.: Online scheduling with partial job values: Does timesharing or randomization help? Algorithmica 37(3), 149–164 (2003)
Chrobak, M., Dürr, C., Hurand, M., Robert, J.: Algorithms for temperature-aware task scheduling in microprocessor systems. In: Proceedings of 4th International Conference on Algorithmic Aspects in Information and Management, pp. 120–130 (2008)
Coskun, A., Rosing, T., Whisnant, K.: Temperature aware task scheduling in MPSoCs. In: Proc. Conference on Design, Automation and Test in Europe, pp. 1659–1664 (2007)
Englert, M., Westermann, M.: Considering suppressed packets improves buffer management in QoS switches. In: Proceedings of 18th ACM-SIAM Symposium on Discrete Algorithms, pp. 209–218 (2007)
Yang, J., Zhou, X., Chrobak, M., Zhang, Y., Jin, L.: Dynamic thermal management through task scheduling. In: IEEE International Symposium on Performance Analysis of Systems and Software, pp. 191–201 (2008)
Yao, A.C.-C.: Probabilistic computations: Toward a unified measure of complexity. In: Proceedings of 18th IEEE Symposium on Foundations of Computer Science, pp. 222–227 (1977)
Yao, F.F., Demers, A.J., Shenker, S.: A scheduling model for reduced CPU energy. In: Proceedings of 36th IEEE Symposium on Foundations of Computer Science, pp. 374–382 (1995)
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Birks, M., Cole, D., Fung, S.P.Y., Xue, H. (2011). Online Algorithms for Maximizing Weighted Throughput of Unit Jobs with Temperature Constraints. In: Atallah, M., Li, XY., Zhu, B. (eds) Frontiers in Algorithmics and Algorithmic Aspects in Information and Management. Lecture Notes in Computer Science, vol 6681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21204-8_34
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DOI: https://doi.org/10.1007/978-3-642-21204-8_34
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