TY - GEN A1 - Bauschert, Thomas A1 - Büsing, Christina A1 - D'Andreagiovanni, Fabio A1 - Koster, Arie M.C.A. A1 - Kutschka, Manuel A1 - Steglich, Uwe T1 - Network Planning under Demand Uncertainty with Robust Optimization N2 - The planning of a communication network is inevitably depending on the quality of both the planning tool and the demand forecast used. In this article, we show exemplarily how the emerging area of Robust Optimization can advance the network planning by a more accurate mathematical description of the demand uncertainty. After a general introduction of the concept and its application to a basic network design problem, we present two applications: multi-layer and mixed-line-rate network design. We conclude with a discussion of extensions of the robustness concept to increase the accuracy of handling uncertainties. T3 - ZIB-Report - 13-59 KW - Network Design, Demand Uncertainty, Robust Optimization, Telecommunications Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-42557 SN - 1438-0064 ER - TY - CHAP A1 - Orlowski, Sebastian A1 - Koster, Arie M.C.A. A1 - Raack, Christian A1 - Wessäly, Roland T1 - Two-layer Network Design by Branch-and-Cut featuring MIP-based Heuristics T2 - Proceedings of the INOC 2007, Spa, Belgium, also ZIB Report ZR-06-47 Y1 - 2007 UR - http://www.zib.de/Publications/abstracts/ZR-06-47 PB - International Network Optimization Conference CY - Spa, Belgium ER - TY - CHAP A1 - Raack, Christian A1 - Koster, Arie M.C.A. A1 - Orlowski, Sebastian A1 - Wessäly, Roland T1 - Capacitated network design using general flow-cutset inequalities T2 - Proceedings of the INOC 2007, Spa, Belgium, also ZIB Report ZR-07-14 Y1 - 2007 UR - http://www.zib.de/Publications/abstracts/ZR-07-14 PB - International Network Optimization Conference CY - Spa, Belgium ER - TY - CHAP A1 - Koster, Arie M.C.A. A1 - Orlowski, Sebastian A1 - Raack, Christian A1 - Baier, Georg A1 - Engel, Thomas T1 - Single-layer Cuts for Multi-Layer Network Design Problems T2 - Telecommunications Modeling Policy and Technology, also ZIB Report ZR-07-21 Y1 - 2008 UR - http://dx.doi.org/10.1007/978-0-387-77780-1_1 SP - 1 EP - 23 PB - Springer CY - College Park, MD, U.S.A. ER - TY - CHAP A1 - Koster, Arie M.C.A. A1 - Orlowski, Sebastian A1 - Raack, Christian A1 - Baier, Georg A1 - Engel, Thomas A1 - Belotti, Pietro T1 - Branch-and-cut techniques for solving realistic two-layer network design problems T2 - Graphs and Algorithms in Communication Networks Y1 - 2009 UR - http://www.springerlink.com/content/g3rt54x5w4110240 SP - 95 EP - 118 PB - Springer Berlin Heidelberg ER - TY - CHAP A1 - Koster, Arie M.C.A. A1 - Kutschka, Manuel A1 - Raack, Christian T1 - Towards Robust Network Design using Integer Linear Programming Techniques T2 - Proceedings of the NGI 2010, Paris, France Y1 - 2010 UR - http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5534462 PB - Next Generation Internet CY - Paris, France ER - TY - CHAP A1 - Koster, Arie M.C.A. A1 - Raack, C. T1 - A packing integer program arising in two-layer network design T2 - Proceedings of the INOC 2009, Pisa, Italy Y1 - 2009 PB - International Network Optimization Conference CY - Pisa, Italy ER - TY - GEN A1 - Coniglio, Stefano A1 - Grimm, Boris A1 - Koster, Arie M.C.A. A1 - Tieves, Martin A1 - Werner, Axel T1 - Optimal offline virtual network embedding with rent-at-bulk aspects N2 - Network virtualization techniques allow for the coexistence of many virtual networks (VNs) jointly sharing the resources of an underlying substrate network. The Virtual Network Embedding problem (VNE) arises when looking for the most profitable set of VNs to embed onto the substrate. In this paper, we address the offline version of the problem. We propose a Mixed-Integer Linear Programming formulation to solve it to optimality which accounts for acceptance and rejection of virtual network requests, allowing for both splittable and unsplittable (single path) routing schemes. Our formulation also considers a Rent-at-Bulk (RaB) model for the rental of substrate capacities where economies of scale apply. To better emphasize the importance of RaB, we also compare our method to a baseline one which only takes RaB into account a posteriori, once a solution to VNE, oblivious to RaB, has been found. Computational experiments show the viability of our approach, stressing the relevance of addressing RaB directly with an exact formulation. Y1 - 2015 ER - TY - GEN A1 - Koster, Arie M.C.A. A1 - Orlowski, Sebastian A1 - Raack, Christian A1 - Bayer, Georg A1 - Engel, Thomas T1 - Single-layer Cuts for Multi-layer Network Design Problems N2 - We study a planning problem arising in SDH/WDM multi-layer telecommunication network design. The goal is to find a minimum cost installation of link and node hardware of both network layers such that traffic demands can be realized via grooming and a survivable routing. We present a mixed-integer programming formulation that takes many practical side constraints into account, including node hardware, several bitrates, and survivability against single physical node or link failures. This model is solved using a branch-and-cut approach with problem-specific preprocessing and cutting planes based on either of the two layers. On several realistic two-layer planning scenarios, we show that these cutting planes are still useful in the multi-layer context, helping to increase the dual bound and to reduce the optimality gaps. T3 - ZIB-Report - 07-21 KW - telecommunication network KW - multi-layer network design KW - mixed-integer programming KW - cutting planes Y1 - 2007 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-9641 SN - 1438-0064 ER - TY - GEN A1 - Koster, Arie M.C.A. A1 - Kutschka, Manuel A1 - Raack, Christian T1 - Robust Network Design: Formulations, Valid Inequalities, and Computations N2 - Traffic in communication networks fluctuates heavily over time. Thus, to avoid capacity bottlenecks, operators highly overestimate the traffic volume during network planning. In this paper we consider telecommunication network design under traffic uncertainty, adapting the robust optimization approach of Bertsimas and Sim [2004]. We present three different mathematical formulations for this problem, provide valid inequalities, study the computational implications, and evaluate the realized robustness. To enhance the performance of the mixed-integer programming solver we derive robust cutset inequalities generalizing their deterministic counterparts. Instead of a single cutset inequality for every network cut, we derive multiple valid inequalities by exploiting the extra variables available in the robust formulations. We show that these inequalities define facets under certain conditions and that they completely describe a projection of the robust cutset polyhedron if the cutset consists of a single edge. For realistic networks and live traffic measurements we compare the formulations and report on the speed up by the valid inequalities. We study the "price of robustness" and evaluate the approach by analyzing the real network load. The results show that the robust optimization approach has the potential to support network planners better than present methods. T3 - ZIB-Report - 11-34 KW - robust network design KW - cutset inequalities Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-13890 SN - 1438-0064 ER -