Journal of the Operational Research Society

, Volume 59, Issue 11, pp 1557–1567 | Cite as

A two-level simulated annealing algorithm for efficient dissemination of electronic content

Theoretical Paper

Abstract

This paper describes a two-level simulated annealing heuristic for the joint problem of object placement and request routing in a Content Distribution Network (CDN) with constraints pertaining to server capacity and end-to-end object transfer delay. A CDN is a technology that is used to efficiently distribute electronic content throughout an existing network. The two-level solution procedure is composed of an outer and an inner simulated annealing algorithms. Computational experiments are conducted by comparing the proposed procedure with several truncated exact solution algorithms on randomly generated Internet topologies.

Keywords

telecommunications content distribution network object placement request routing simulated annealing 

References

  1. Almeida JM, Eager DL, Vernon MK and Wright SJ (2004). Minimizing delivery cost in scalable streaming content distribution systems. IEEE T Multimedia 6: 356–365.CrossRefGoogle Scholar
  2. Bektaş T, Cordeau J-F, Erkut E and Laporte G (2008). Exact algorithms for the joint object placement and request routing problem in content distribution networks. Comput Opl Res doi: 10.1016/j.cor.2007.02.005.Google Scholar
  3. Bektaş T, Oǧuz O and Ouveysi I (2007). Designing cost-effective content distribution networks. Comput Opl Res 34: 2436–2449.CrossRefGoogle Scholar
  4. Breslau L, Cao P, Fan L, Phillips G and Shenker S (1999). Web caching and Zipf-like distributions: Evidence and implications. In: IEEE Communications Society (ed) Proceedings of IEEE INFOCOM'99, Vol. 1. IEEE Computer Society Press: New York, pp 126–134.Google Scholar
  5. Černý V (1985). Thermodynamical approach to the travelling salesman problem: An efficient simulation algorithm. J Optim Theory Appl 45: 41–51.CrossRefGoogle Scholar
  6. Chari K (1996). Resource allocation and capacity assignment in distributed systems. Comput Opl Res 23: 1025–1041.CrossRefGoogle Scholar
  7. Cidon I, Kutten S and Soffer R (2002). Optimal allocation of electronic content. Comput Network 40: 205–218.CrossRefGoogle Scholar
  8. Erçetin Ö and Tassiulas L (2003). Market-based resource allocation for content delivery in the Internet. IEEE T Comput 52: 1573–1585.CrossRefGoogle Scholar
  9. Fisher ML and Hochbaum DS (1980). Database location in computer networks. J Assoc Comput Mach 27: 718–735.CrossRefGoogle Scholar
  10. Gavish B and Suh MW (1992). Configuration of fully replicated distributed database system over wide area networks. Ann Opns Res 36: 167–192.CrossRefGoogle Scholar
  11. Hakimi SL and Schmeichel EF (1997). Locating replicas of a database on a network. Networks 30: 31–36.CrossRefGoogle Scholar
  12. Huang C and Abdelzaher T (2005). Bounded-latency content distribution: Feasibility and evaluation. IEEE T Comput 54: 1422–1437.CrossRefGoogle Scholar
  13. Johnson KL, Carr MS, Day JF and Kaashoek MF (2001). The measured performance of content distribution networks. Comput Commun 24: 202–206.CrossRefGoogle Scholar
  14. Kangasharju J, Roberts J and Ross KW (2002). Object replication strategies in content distribution networks. Comput Commun 25: 376–383.CrossRefGoogle Scholar
  15. Kirkpatrick S, Gelatt CD and Vecchi MP (1983). Optimization by simulated annealing. Science 220: 671–680.CrossRefGoogle Scholar
  16. Laoutaris N, Zissimopoulos V and Stavrakakis I (2004). Joint object placement and node dimensioning for Internet content distribution. Inform Process Lett 89: 273–279.CrossRefGoogle Scholar
  17. Laoutaris N, Zissimopoulos V and Stavrakakis I (2005). On the optimization of storage capacity allocation for content distribution. Comput Network 47: 409–428.CrossRefGoogle Scholar
  18. Li B, Golin MJ, Italiano GF, Deng X and Sohraby K (1999). On the optimal placement of web proxies in the Internet. In: Proceedings of IEEE INFOCOM'99, Vol. 3, New York, pp 1282–1290.Google Scholar
  19. Nguyen TV, Safaei F, Boustead P and Chou CT (2005). Provisioning overlay distribution networks. Comput Network 49: 103–118.CrossRefGoogle Scholar
  20. Pirkul H (1986). An integer programming model for the allocation of databases in a distributed computer system. Eur J Opl Res 26: 401–411.CrossRefGoogle Scholar
  21. Qiu L, Padmanabhan VN, and Voelker GM (2001). On the placement of web server replicas. In: IEEE Communications Society (ed). Proceedings of IEEE INFOCOM'01, Anchorage, Alaska, Vol. 3, IEEE Computer Society Press: New York, pp 1587–1596.Google Scholar
  22. Radoslavov P, Govindan R and Estrin D (2002). Topology-informed Internet replica placement. Comput Commun 25: 384–392.CrossRefGoogle Scholar
  23. Ryoo J and Panwar SS (2001). File distribution in networks with multimedia storage servers. Networks 38: 140–149.CrossRefGoogle Scholar
  24. Wauters T, Coppens J, De Turck F, Dhoedt B and Demeester P (2006). Replica placement in ring based content delivery networks. Comput Commun 29: 3313–3326.CrossRefGoogle Scholar
  25. Xu J, Li B and Lee DL (2002). Placement problems for transparent data replication proxy services. IEEE J Select Areas Commun 20: 1383–1398.CrossRefGoogle Scholar
  26. Xuanping Z, Weidong W, Xiaopeng T and Yonghu Z (2003). Data Replication at Web Proxies in Content Distribution Network, Lecture Notes in Computer Science, Vol.2642, Springer-Verlag: Xian, pp 560–569.Google Scholar
  27. Yang M . and Fei Z (2003) A model for replica placement in content distribution networks for multimedia applications. In: IEEE Communications Society (ed). Proceedings of IEEE International Conference on Communications (ICC '03), Anchorage, Alaska. Vol. 1, IEEE Computer Press: New York, 557–561.Google Scholar
  28. Zipf GK (1949). Human Behavior and the Principle of Least-Effort. Addison-Wesley: Cambridge, MA.Google Scholar

Copyright information

© Palgrave Macmillan Ltd 2007

Authors and Affiliations

  1. 1.Center for Research on Transportation, HEC MontréalMontréalCanada
  2. 2.University of AlbertaEdmontonCanada

Personalised recommendations