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Coordination Mechanisms, Cost-Sharing, and Approximation Algorithms for Scheduling

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Web and Internet Economics (WINE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10660))

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Abstract

We reveal a connection between coordination mechanisms for unrelated machine scheduling and cost-sharing protocols. Using this connection, we interpret three coordination mechanisms from the recent literature as Shapley-value-based cost-sharing protocols, thus providing a unifying justification regarding why these mechanisms induce potential games. More importantly, this connection provides a template for designing novel coordination mechanisms, as well as approximation algorithms for the underlying optimization problem. The designer need only decide the total cost to be suffered on each machine, and then the Shapley value can be used to induce games guaranteed to possess a potential function; these games can, in turn, be used to design algorithms. To verify the power of this approach, we design a combinatorial algorithm that achieves an approximation guarantee of 1.81 for the problem of minimizing the total weighted completion time for unrelated machines. To the best of our knowledge, this is the best approximation guarantee among combinatorial polynomial-time algorithms for this problem.

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Notes

  1. 1.

    Note that computing the Shapley value cost-shares can be non-trivial, or even intractable, if the \(C_i(J_i)\) is arbitrarily general, but most of the natural choices for this function provide sufficient structure for the shares to be readily computable, as verified in the previous and the following section.

References

  1. Abed, F., Correa, J.R., Huang, C.-C.: Optimal coordination mechanisms for multi-job scheduling games. In: Schulz, A.S., Wagner, D. (eds.) ESA 2014. LNCS, vol. 8737, pp. 13–24. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-44777-2_2

    Google Scholar 

  2. Abed, F., Huang, C.-C.: Preemptive coordination mechanisms for unrelated machines. In: Epstein, L., Ferragina, P. (eds.) ESA 2012. LNCS, vol. 7501, pp. 12–23. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33090-2_3

    Chapter  Google Scholar 

  3. Anshelevich, E., Dasgupta, A., Kleinberg, J.M., Tardos, É., Wexler, T., Roughgarden, T.: The price of stability for network design with fair cost allocation. SIAM J. Comput. 38(4), 1602–1623 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  4. Awerbuch, B., Azar, Y., Epstein, A., Mirrokni, V.S., Skopalik, A.: Fast convergence to nearly optimal solutions in potential games. In: Proceedings of the 9th ACM Conference on Electronic Commerce (EC), pp. 264–273 (2008)

    Google Scholar 

  5. Azar, Y., Fleischer, L., Jain, K., Mirrokni, V.S., Svitkina, Z.: Optimal coordination mechanisms for unrelated machine scheduling. Oper. Res. 63(3), 489–500 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  6. Bansal, N., Srinivasan, A., Svensson, O.: Lift-and-round to improve weighted completion time on unrelated machines. In: Proceedings of the 48th Annual ACM Symposium on Theory of Computing (STOC), pp. 156–167 (2016)

    Google Scholar 

  7. Bhattacharya, S., Im, S., Kulkarni, J., Munagala, K.: Coordination mechanisms from (almost) all scheduling policies. In: Proceedings of the 5th Conference on Innovations in Theoretical Computer Science (ITCS), pp. 121–134 (2014)

    Google Scholar 

  8. Caragiannis, I.: Efficient coordination mechanisms for unrelated machine scheduling. Algorithmica 66(3), 512–540 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  9. Caragiannis, I., Fanelli, A.: An almost ideal coordination mechanism for unrelated machine scheduling. In: Gairing, M., Savani, R. (eds.) SAGT 2016. LNCS, vol. 9928, pp. 315–326. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-53354-3_25

    Chapter  Google Scholar 

  10. Caragiannis, I., Flammini, M., Kaklamanis, C., Kanellopoulos, P., Moscardelli, L.: Tight bounds for selfish and greedy load balancing. Algorithmica 61(3), 606–637 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  11. Chen, H., Roughgarden, T., Valiant, G.: Designing network protocols for good equilibria. SIAM J. Comput. 39(5), 1799–1832 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  12. Christodoulou, G., Koutsoupias, E., Nanavati, A.: Coordination mechanisms. Theor. Comput. Sci. 410(36), 3327–3336 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  13. Christodoulou, G., Gkatzelis, V., Sgouritsa, A.: Cost-sharing methods for scheduling games under uncertainty. In: Proceedings of the 18th ACM Conference on Economics and Computation (EC), pp. 441–458 (2017)

    Google Scholar 

  14. Christodoulou, G., Mehlhorn, K., Pyrga, E.: Improving the price of anarchy for selfish routing via coordination mechanisms. Algorithmica 69(3), 619–640 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  15. Cole, R., Correa, J.R., Gkatzelis, V., Mirrokni, V., Olver, N.: Decentralized utilitarian mechanisms for scheduling games. Games Econ. Behav. 92, 306–326 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  16. Correa, J.R., Queyranne, M.: Efficiency of equilibria in restricted uniform machine scheduling with total weighted completion time as social cost. Naval Res. Logist. (NRL) 59(5), 384–395 (2012)

    Article  MathSciNet  Google Scholar 

  17. von Falkenhausen, P., Harks, T.: Optimal cost sharing for resource selection games. Math. Oper. Res. 38(1), 184–208 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  18. Gkatzelis, V., Kollias, K., Roughgarden, T.: Optimal cost-sharing in general resource selection games. Oper. Res. 64(6), 1230–1238 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  19. Gopalakrishnan, R., Marden, J.R., Wierman, A.: Potential games are necessary to ensure pure Nash equilibria in cost sharing games. Math. Oper. Res. 39(4), 1252–1296 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  20. Hoeksma, R., Uetz, M.: The price of anarchy for minsum related machine scheduling. In: Solis-Oba, R., Persiano, G. (eds.) WAOA 2011. LNCS, vol. 7164, pp. 261–273. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-29116-6_22

    Chapter  Google Scholar 

  21. Hoogeveen, H., Schuurman, P., Woeginger, G.J.: Non-approximability results for scheduling problems with minsum criteria. INFORMS J. Comput. 13(2), 157–168 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  22. Immorlica, N., Li, L.E., Mirrokni, V.S., Schulz, A.S.: Coordination mechanisms for selfish scheduling. Theoret. Comput. Sci. 410(17), 1589–1598 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  23. Kollias, K.: Nonpreemptive coordination mechanisms for identical machines. Theory Comput. Syst. 53(3), 424–440 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  24. Kollias, K., Roughgarden, T.: Restoring pure equilibria to weighted congestion games. ACM Trans. Econ. Comput. 3(4), 21:1–21:24 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  25. Leung, J.Y. (ed.): Handbook of Scheduling - Algorithms, Models, and Performance Analysis. Chapman and Hall/CRC, Boca Raton (2004)

    MATH  Google Scholar 

  26. Li, S.: Scheduling to minimize total weighted completion time via time-indexed linear programming relaxations. CoRR abs/1707.08039 (2017)

    Google Scholar 

  27. Marden, J.R., Wierman, A.: Distributed welfare games. Oper. Res. 61(1), 155–168 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  28. Mosk-Aoyama, D., Roughgarden, T.: Worst-case efficiency analysis of queueing disciplines. In: Albers, S., Marchetti-Spaccamela, A., Matias, Y., Nikoletseas, S., Thomas, W. (eds.) ICALP 2009. LNCS, vol. 5556, pp. 546–557. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02930-1_45

    Chapter  Google Scholar 

  29. Moulin, H.: The price of anarchy of serial, average and incremental cost sharing. Econ. Theor. 36(3), 379–405 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  30. Sethuraman, J., Squillante, M.: Optimal scheduling of multiclass parallel machines. In: Proceedings of the 10th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pp. 963–964 (1999)

    Google Scholar 

  31. Shapley, L.S.: Additive and Non-additive Set Functions. Princeton University, Princeton (1953)

    Google Scholar 

  32. Skutella, M.: Convex quadratic and semidefinite programming relaxations in scheduling. J. ACM 48(2), 206–242 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  33. Smith, W.: Various optimizers for single stage production. Naval Res. Logist. Quart. 3(1–2), 59–66 (1956)

    Article  MathSciNet  Google Scholar 

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Correspondence to Ioannis Caragiannis .

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Caragiannis, I., Gkatzelis, V., Vinci, C. (2017). Coordination Mechanisms, Cost-Sharing, and Approximation Algorithms for Scheduling. In: R. Devanur, N., Lu, P. (eds) Web and Internet Economics. WINE 2017. Lecture Notes in Computer Science(), vol 10660. Springer, Cham. https://doi.org/10.1007/978-3-319-71924-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-71924-5_6

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