Abstract
This paper investigates the problem of scheduling jobs on multiple speed-scaled processors, i.e., we have constant α>1 such that running a processor at speed s results in energy consumption s α per time unit. We consider the general case where each job has a monotonously increasing cost function that penalizes delay. This includes the so far considered cases of deadlines, flow time, and weighted flow time. For any type of delay cost functions, we obtain the following results: Any β-approximation algorithm for a single processor yields a randomized βB α -approximation algorithm for multiple processors, where B α is the αth Bell number, that is, the number of partitions of a set of size α. The generated schedule is without migration, but we compare it to an optimal schedule with migration. Hence, this result holds for migratory and non-migratory schedules. Analogously, we show that any β-competitive online algorithm for a single processor yields a βB α -competitive online algorithm for multiple processors. Finally, we show that any β-approximation algorithm for multiple processors with migration yields a deterministic βB α -approximation algorithm for multiple processors without migration. These facts improve several approximation ratios and lead to new results. For instance, we obtain the first constant factor online and offline approximation algorithm for multiple processors without migration for arbitrary release times, deadlines, and job sizes.









Similar content being viewed by others
References
Albers, S., Fujiwara, H.: Energy-efficient algorithms for flow time minimization. ACM Trans. Algorithms 3(4), 49 (2007)
Albers, S., Greiner, G.: Personal communication (2008)
Albers, S., Müller, F., Schmelzer, S.: Speed scaling on parallel processors. In: Proceedings of the 19th Annual ACM Symposium on Parallel Algorithms and Architectures (SPAA’07), pp. 289–298 (2007)
Andrew, L.L.H., Wierman, A., Tang, A.: Optimal speed scaling under arbitrary power functions. ACM SIGMETRICS Perform. Eval. Rev. 37(2), 39–41 (2009)
Bansal, N., Bunde, D.P., Chan, H.-L., Pruhs, K.: Average rate speed scaling. In: Proceedings of the 36th International Colloquium on Automata, Languages and Programming (ICALP’08), pp. 240–251 (2008)
Bansal, N., Chan, H.-L., Pruhs, K.: Speed scaling with an arbitrary power function. In: Proceedings of the 20th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA’09), pp. 693–701 (2009)
Bansal, N., Chan, H.-L., Pruhs, K., Katz, D.: Improved bounds for speed scaling in devices obeying the cube-root rule. In: Proceedings of the 36th International Colloquium on Automata, Languages and Programming (ICALP’09), pp. 144–155 (2009)
Bansal, N., Kimbrel, T., Pruhs, K.: Dynamic speed scaling to manage energy and temperature. In: Proceedings of 45th Symposium on Foundations of Computer Science (FOCS’04), pp. 520–529 (2004)
Bansal, N., Kimbrel, T., Pruhs, K.: Speed scaling to manage energy and temperature. J. ACM 54(1), 3 (2007)
Bansal, N., Pruhs, K., Stein, C.: Speed scaling for weighted flow time. In: Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA’07), pp. 805–813 (2007)
Brooks, D.M., Bose, P., Schuster, S.E., Jacobson, H., Kudva, P.N., Buyuktosunoglu, A., Wellman, J.-D., Zyuban, V., Gupta, M., Cook, P.W.: Power-aware microarchitecture: design and modeling challenges for next-generation microprocessors. IEEE MICRO 20(6), 26–44 (2000)
Bunde, D.P.: Power-aware scheduling for makespan and flow. In: Proceedings of the 18th Annual ACM Symposium on Parallel Algorithms and Architectures (SPAA’06), pp. 190–196 (2006)
Chan, H.-L., Chan, W.-T., Lam, T.W., Lee, L.-K., Mak, K.-S., Wong, P.W.H.: Energy efficient online deadline scheduling. In: Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA’07), pp. 795–804 (2007)
Chan, H.-L., Edmonds, J., Lam, T.W., Lee, L.-K., Marchetti-Spaccamela, A., Pruhs, K.: Nonclairvoyant speed scaling for flow and energy. In: Proceedings of the 26th International Symposium on Theoretical Aspects of Computer Science (STACS’09), pp. 255–264 (2009)
Chekuri, C., Goel, A., Khanna, S., Kumar, A.: Multi-processor scheduling to minimize flow time with epsilon resource augmentation. In: Proceedings of the 36th Annual ACM Symposium on Theory of Computing (STOC’04), pp. 363–372 (2004)
Dobinski, G.: Summierung der Reihe ∑n m/n! für m=1,2,3,4,5,…. Arch. Math. Phys. 61, 333–336 (1877)
Garey, M.R., Johnson, D.S.: Computers and Intractability—A Guide to the Theory of NP-Completeness. Freeman, San Francisco (1979)
Becker, H.W., Riordan, J.: The arithmetic of Bell and Stirling numbers. Am. J. Math. 70, 385–394 (1934)
Irani, S., Pruhs, K.: Algorithmic problems in power management. SIGACT News 36(2), 63–76 (2005)
Lam, T.W., Lee, L.-K., To, I.K.-K., Wong, P.W.H.: Energy efficient deadline scheduling in two processor systems. In: Proccedings of the 18th International Symposium on Algorithms and Computation (ISAAC’07), pp. 476–487 (2007)
Lam, T.W., Lee, L.-K., To, I.K.-K., Wong, P.W.H.: Competitive non-migratory scheduling for flow time and energy. In: Proceedings of the 20th Annual ACM Symposium on Parallel Algorithms and Architectures (SPAA’08), pp. 256–264 (2008)
Lam, T.W., Lee, L.-K., To, I.K.-K., Wong, P.W.H.: Speed scaling functions for flow time scheduling based on active job count. In: Proceedings of the 16th Annual European Symposium on Algorithms (ESA’08), pp. 647–659 (2008)
Lovász, L.: Combinatorial Problems and Exercises. North-Holland, Amsterdam (1964)
Pruhs, K., Uthaisombut, P., Woeginger, G.J.: Getting the best response for your erg. ACM Trans. Algorithms 4(3), 1–17 (2008)
Yao, F.F., Demers, A.J., Shenker, S.: A scheduling model for reduced CPU energy. In: Proceedings of the 36th Annual Symposium on Foundations of Computer Science (FOCS’95), pp. 374–382 (1995)
Acknowledgement
We thank anonymous referees for carefully reading this paper.
Author information
Authors and Affiliations
Corresponding author
Additional information
This work was mostly done while the author was still a Ph.D. student at Albert-Ludwigs-Universität Freiburg, and hence supported by DFG research program No. 1103 Embedded Microsystems.
Rights and permissions
About this article
Cite this article
Greiner, G., Nonner, T. & Souza, A. The Bell Is Ringing in Speed-Scaled Multiprocessor Scheduling. Theory Comput Syst 54, 24–44 (2014). https://doi.org/10.1007/s00224-013-9477-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00224-013-9477-9