Skip to main content

Approximation algorithms for selecting network centers

  • Conference paper
  • First Online:
Algorithms and Data Structures (WADS 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 519))

Included in the following conference series:

Abstract

This abstract concerns the issue of allocating and utilizing centers in a distributed network, in its various forms. The abstract discusses the significant parameters of center allocation, defines the resulting optimization problems, and proposes several approximation algorithms for selecting centers and for distributing the users among them. We concentrate mainly on balanced versions of the problem, i.e., in which it is required that the assignment of clients to centers be as balanced as possible. The main results are constant ratio approximation algorithms for the balanced κ-centers and balanced κ-weighted centers problems, and logarithmic ratio approximation algorithms for the ρ-dominating set and the κ-tolerant set problems.

Preliminary version

Supported in part by an Allon Fellowship, by a Walter and Elise Haas Career Development Award and by a Bantrell Fellowship.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. D. Bertsekas. A unified framework for primal-dual methods in minimum cost network flow problems. Math. Prog., 32:125–145, 1985.

    Google Scholar 

  2. D. Bertsekas and R. Gallager. Data Networks. Prentice-Hall, Inc., Englewood Cliffs, NJ, 1987.

    Google Scholar 

  3. A. Bouloutas and P.M. Gopal. Some graph partitioning problems and algorithms related to routing in large computer networks. In Proc. 9th IEEE Conf. on Distributed Computing Systems, pages 362–370, Newport Beach, CA, 1989.

    Google Scholar 

  4. J. Bar-Ilan and D. Peleg. How to allocate network centers. Technical Report CS90-20, The Weizmann Institute of Science, 1990.

    Google Scholar 

  5. A.R. Hevner and A. Rao. Distributed data allocation strategies. In Advances in Computers, Vol. 27, pages 121–155. Academic Press, 1988.

    Google Scholar 

  6. D.S. Hochbaum and D. Shmoys. Powers of graphs: A powerful technique for bottleneck problems. In Proc. 16th ACM Symp. on Theory of Computing, pages 324–333. ACM, April 1984.

    Google Scholar 

  7. L. Lovász. On the ratio of optimal integral and fractional covers. Discrete Mathematics, 13:383–390, 1975.

    Google Scholar 

  8. K. Murthy and J. Kam. An approximation algorithm to the file allocation problem in computer networks. In Proc. 2nd ACM Symp. on Principles of Database Systems, pages 258–266. ACM, 1983.

    Google Scholar 

  9. H.L. Morgan and K.D. Levin. Optimal program and data locations in computer networks. Comm. of the ACM, pages 315–322, 1977.

    Google Scholar 

  10. D. Peleg. Distributed data structures: A complexity oriented view. In 4th Int. Workshop on Distributed Algorithms, September 1990.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Frank Dehne Jörg-Rüdiger Sack Nicola Santoro

Rights and permissions

Reprints and permissions

Copyright information

© 1991 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bar-Ilan, J., Peleg, D. (1991). Approximation algorithms for selecting network centers. In: Dehne, F., Sack, JR., Santoro, N. (eds) Algorithms and Data Structures. WADS 1991. Lecture Notes in Computer Science, vol 519. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028274

Download citation

  • DOI: https://doi.org/10.1007/BFb0028274

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54343-5

  • Online ISBN: 978-3-540-47566-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics