Placing Regenerators in Optical Networks to Satisfy Multiple Sets of Requests

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Automata, Languages and Programming (ICALP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6199))

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Abstract

The placement of regenerators in optical networks has become an active area of research during the last years. Given a set of lightpaths in a network G and a positive integer d, regenerators must be placed in such a way that in any lightpath there are no more than d hops without meeting a regenerator. While most of the research has focused on heuristics and simulations, the first theoretical study of the problem has been recently provided in [10], where the considered cost function is the number of locations in the network hosting regenerators. Nevertheless, in many situations a more accurate estimation of the real cost of the network is given by the total number of regenerators placed at the nodes, and this is the cost function we consider. Furthermore, in our model we assume that we are given a finite set of p possible traffic patterns (each given by a set of lightpaths), and our objective is to place the minimum number of regenerators at the nodes so that each of the traffic patterns is satisfied. While this problem can be easily solved when d = 1 or p = 1, we prove that for any fixed d,p ≥ 2 it does not admit a \(\textsc{PTAS}\), even if G has maximum degree at most 3 and the lightpaths have length \(\mathcal{O}(d)\). We complement this hardness result with a constant-factor approximation algorithm with ratio ln (d ·p). We then study the case where G is a path, proving that the problem is NP-hard for any d,p ≥ 2, even if there are two edges of the path such that any lightpath uses at least one of them. Interestingly, we show that the problem is polynomial-time solvable in paths when all the lightpaths share the first edge of the path, as well as when the number of lightpaths sharing an edge is bounded. Finally, we generalize our model in two natural directions, which allows us to capture the model of [10] as a particular case, and we settle some questions that were left open in [10].

This research was supported by the Israel Science Foundation (grant No. 1249/08) and by the British Council (grant No. UKTELHAI09).

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References

  1. Alimonti, P., Kann, V.: Some APX-completeness results for cubic graphs. Theoretical Computer Science 237(1-2), 123–134 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  2. Amini, O., Pérennes, S., Sau, I.: Hardness and Approximation of Traffic Grooming. Theoretical Computer Science 410(38-40), 3751–3760 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  3. Austrin, P., Khot, S., Safra, M.: Inapproximability of Vertex Cover and Independent Set in Bounded Degree Graphs. In: Proc. of the 24th IEEE Computational Complexity Conference (CCC), pp. 74–80 (2009)

    Google Scholar 

  4. Baker, B.S.: Approximation algorithms for NP-complete problems on planar graphs. Journal of the ACM 41(1), 153–180 (1994)

    Article  MATH  Google Scholar 

  5. Chen, S., Raghavan, S.: The regenerator location problem. In: Proc. of the International Network Optimization Conference, INOC (2007); Full version to appear in Networks

    Google Scholar 

  6. Demaine, E., Hajiaghayi, M., Kawarabayashi, K.-I.: Algorithmic Graph Minor Theory: Decomposition, Approximation and Coloring. In: Proc. of the 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS), pp. 637–646 (2005)

    Google Scholar 

  7. Diestel, R.: Graph Theory. Springer, Heidelberg (2005)

    MATH  Google Scholar 

  8. Fedrizzi, R., Galimberti, G.M., Gerstel, O., Martinelli, G., Salvadori, E., Saradhi, C.V., Tanzi, A., Zanardi, A.: A Framework for Regenerator Site Selection Based on Multiple Paths. In: Prooceedings of IEEE/OSA Conference on Optical Fiber Communications, OFC (to appear, 2010)

    Google Scholar 

  9. Fedrizzi, R., Galimberti, G.M., Gerstel, O., Martinelli, G., Salvadori, E., Saradhi, C.V., Tanzi, A., Zanardi, A.: Traffic Independent Heuristics for Regenerator Site Selection for Providing Any-to-Any Optical Connectivity. In: Proc. of IEEE/OSA Conference on Optical Fiber Communications, OFC (to appear, 2010)

    Google Scholar 

  10. Flammini, M., Marchetti-Spaccamela, A., Monaco, G., Moscardelli, L., Zaks, S.: On the complexity of the regenerator placement problem in optical networks. In: Proc. of the 21st Annual ACM Symposium on Parallel Algorithms and Architectures (SPAA), pp. 154–162 (2009)

    Google Scholar 

  11. Garey, M., Johnson, D.: Computers and Intractability: A Guide to the Theory of NP-Completeness. W. H. Freeman, New York (1979)

    MATH  Google Scholar 

  12. Gerstel, O., Raza, H.: Predeployment of Resources in Agile Photonic Networks. IEEE/OSA Journal of Lightwave Technology 22(10), 2236–2244 (2004)

    Article  Google Scholar 

  13. Kim, S.W., Seo, S.W.: Regenerator placement algorithms for connection establishment in all-optical networks. IEE Proceedings Communications 148(1), 25–30 (2001)

    Article  Google Scholar 

  14. Korotki, S.K.: An Overview of the Global Network Expectation Model. In: Prooceedings of IEEE/OSA Conference on Optical Fiber Communications, OFC (2004)

    Google Scholar 

  15. Korotki, S.K., Oikonomou, K.N.: Scaling of Most-Likely Traffic Patterns of Hose- and Cost-Constrained Ring and Mesh Networks. In: Prooceedings of IEEE/OSA Conference on Optical Fiber Communications, OFC (2006)

    Google Scholar 

  16. Mertzios, G.B., Sau, I., Shalom, M., Zaks, S.: Placing Regenerators in Optical Networks to Satisfy Multiple Sets of Requests. Technical Report CS-2010-07, Technion, Israel Institute of Technology (2010), www.cs.technion.ac.il/users/wwwb/cgi-bin/tr-info.cgi?2010/CS/CS-2010-07

  17. Murthy, C.S.R., Sinha, S.: Information Theoretic Approach to Traffic Adaptive WDM Networks. IEEE/ACM Transactions on Networking 13(4), 881–894 (2005)

    Article  Google Scholar 

  18. Pachnicke, S., Paschenda, T., Krummrich, P.M.: Physical Impairment Based Regenerator Placement and Routing in Translucent Optical Networks. In: Optical Fiber Communication Conference and Exposition and The National Fiber Optic Engineers Conference (Optical Society of America, paper OWA2) (2008)

    Google Scholar 

  19. Sriram, K., Griffith, D., Su, R., Golmie, N.: Static vs. dynamic regenerator assignment in optical switches: models and cost trade-offs. In: Workshop on High Performance Switching and Routing (HPSR), pp. 151–155 (2004)

    Google Scholar 

  20. Thomassen, C.: Two-Coloring the Edges of a Cubic Graph Such That Each Monochromatic Component Is a Path of Length at Most 5. J. Comb. Theory, Ser. B 75(1), 100–109 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  21. Vazirani, V.V.: Approximation algorithms. Springer, Heidelberg (2001)

    Google Scholar 

  22. Yang, X., Ramamurthy, B.: Dynamic routing in translucent WDM optical networks. In: Proc. of the IEEE International Conference on Communications (ICC), pp. 955–971 (2002)

    Google Scholar 

  23. Yang, X., Ramamurthy, B.: Sparse Regeneration in Translucent Wavelength-Routed Optical Networks: Architecture, Network Design and Wavelength Routing. Photonic Network Communications 10(1), 39–53 (2005)

    Article  Google Scholar 

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Mertzios, G.B., Sau, I., Shalom, M., Zaks, S. (2010). Placing Regenerators in Optical Networks to Satisfy Multiple Sets of Requests. In: Abramsky, S., Gavoille, C., Kirchner, C., Meyer auf der Heide, F., Spirakis, P.G. (eds) Automata, Languages and Programming. ICALP 2010. Lecture Notes in Computer Science, vol 6199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14162-1_28

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  • DOI: https://doi.org/10.1007/978-3-642-14162-1_28

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