Skip to main content

Autonomous Scheduling with Unbounded and Bounded Agents

  • Conference paper
Multiagent System Technologies (MATES 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5244))

Included in the following conference series:

  • 861 Accesses

Abstract

Autonomous scheduling deals with the problem - how to enable agents to schedule a set of interdependent tasks in such a way that whatever schedule they choose for their tasks, the individual schedules always can be merged into a global feasible schedule? Unlike the traditional approaches to distributed scheduling we do not enforce a fixed schedule to every participating agent. Instead we guarantee flexibility by offering a set of schedules to choose from in such a way that every agent can choose its own schedule independently from the others. We show that in case of agents with unbounded concurrency, optimal make-span can be guaranteed. Whenever the agents have bounded concurrency optimality cannot be guaranteed, but we present an approximation algorithm that ensures a constant make-span ratio.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sih, G.C., Lee, E.A.: Scheduling to account for interprocessor communication within interconnection-constrained processor networks. In: ICPP (1), pp. 9–16 (1990)

    Google Scholar 

  2. Topcuouglu, H., Hariri, S., Wu, M.Y.: Performance-effective and low-complexity task scheduling for heterogeneous computing. IEEE Trans. Parallel Distrib. Syst. 13(3), 260–274 (2002)

    Article  Google Scholar 

  3. Beaumont, O., Boudet, V., Robert, Y.: The iso-level scheduling heuristic for heterogeneous processors. In: Proc. 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing 2002, 9-11 Jan. 2002, pp. 335–350 (2002)

    Google Scholar 

  4. Maheswaran, M., Siegel, H.J.: A dynamic matching and scheduling algorithm for heterogeneous computing systems. In: HCW 1998: Proc. of the Seventh HCW, p. 57 (1998)

    Google Scholar 

  5. Walsh, W., Wellman, M., Wurman, P., MacKie-Mason, J.: Some economics of market-based distributed scheduling. In: Proceedings of 18th International Conference on Distributed Computing Systems 1998, 26-29 May 1998, pp. 612–621 (1998)

    Google Scholar 

  6. Li, J.: Strategic Negotiation Models for Grid Scheduling. PhD thesis, TU Dortmund (2007)

    Google Scholar 

  7. Hunsberger, L.: Algorithms for a temporal decoupling problem in multi-agent planning. In: Proc. of AAMAS-2003 (2002)

    Google Scholar 

  8. Garey, M., Johnson, D.: Computers and Intractability - a guide to the theory of NP-completeness. W.H. Freeman and Company, New York (1979)

    MATH  Google Scholar 

  9. Yadati, C., Witteveen, C., Zhang, Y., Wu, M., Putre, H.L.: Autonomous scheduling. In: Proc. of the FCS 2008 (2008)

    Google Scholar 

  10. Cormen, T.T., Leiserson, C.E., Rivest, R.L.: Introduction to algorithms. MIT Press, Cambridge (1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Ralph Bergmann Gabriela Lindemann Stefan Kirn Michal Pěchouček

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yadati, C., Witteveen, C., Zhang, Y., Wu, M., la Poutre, H. (2008). Autonomous Scheduling with Unbounded and Bounded Agents. In: Bergmann, R., Lindemann, G., Kirn, S., Pěchouček, M. (eds) Multiagent System Technologies. MATES 2008. Lecture Notes in Computer Science(), vol 5244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87805-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-87805-6_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87804-9

  • Online ISBN: 978-3-540-87805-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics