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A Benders Decomposition Approach for Static Data Segment Location to Servers Connected by a Tree Backbone

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Operations Research Proceedings 2015

Part of the book series: Operations Research Proceedings ((ORP))

Abstract

We consider the problem of allocating database segments to the locations of a content distribution network (CDN). Many other decisions such as server location, query routing, user assignment and network topology are also addressed simultaneously. We consider the problem with the backbone (server network) being restricted to be a tree. Although it is an extremely hard problem to solve in its original form, prior information on the segment allocation, server location, and the tree backbone, reduces the original problem to a simple assignment problem, and therefore, indicates the suitability of a decomposition approach. We formulate the problem and develop a Benders decomposition approach. Due to the hardness of the master problem, we solve it heuristically to obtain a reasonable upper bound on the original problem in a short period of time. The success of the algorithm is particularly significant in large problems, for which CPLEX struggles to obtain even a feasible integer solution.

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References

  1. Applegate, D., Archer, A., Gopalakrishnan, V., Lee, S., Ramakrishnan, K.K.: Optimal content placement for a large-scale vod system. In: Proceedings of the 6th International Conference, Co-NEXT ’10, pp. 4:1–4:12. ACM, New York, NY, USA (2010)

    Google Scholar 

  2. Contreras, I., Fernndez, E., Marin, A.: The tree of hubs location problem. Eur. J. Oper. Res. 202(2), 390–400 (2010)

    Article  Google Scholar 

  3. de Sá, E.M., de Camargo, R.S., de Miranda, G.: An improved benders decomposition algorithm for the tree of hubs location problem. Eur. J. Oper. Res. 226(2), 185–202 (2013)

    Article  Google Scholar 

  4. McDaniel, D., Devine, M.: A modified benders’ partitioning algorithm for mixed integer programming. Manag. Sci. 24(3), 312–319 (1977)

    Article  Google Scholar 

  5. Sen, G., Krishnamoorthy, M., Rangaraj, N., Narayanan, V.: Exact approaches for static data segment allocation problem in an information network. Comput. Oper. Res. 62, 282–295 (2015)

    Article  Google Scholar 

  6. Sen, G., Krishnamoorthy, M., Rangaraj, N., Narayanan, V.: Mathematical models and empirical analysis of a simulated annealing approach for two variants of the static data segment allocation problem. Networks (2016, in press). doi:10.1002/net.21675

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Correspondence to Goutam Sen .

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Sen, G., Krishnamoorthy, M., Narayanan, V., Rangaraj, N. (2017). A Benders Decomposition Approach for Static Data Segment Location to Servers Connected by a Tree Backbone. In: Dörner, K., Ljubic, I., Pflug, G., Tragler, G. (eds) Operations Research Proceedings 2015. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-42902-1_15

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