scholarly journals A formulation for a hop constrained survivable network design problem

2017 ◽  
Vol 27 (4) ◽  
pp. 427-438
Author(s):  
Graciela Ferreira ◽  
Sergio Nesmachnow ◽  
Franco Robledo

This article presents an integer linear model for the hop constrained node survivable network design problem. The formulation is focused on networks represented by undirected graphs with not rooted demands, considering costs in arcs and in optional (Steiner) nodes, too. The proposed model allows setting different values of parameters for constraints between each pair of terminal nodes, including hop length and number of node disjoint paths constraints. This work includes calculating lower and upper bounds to the optimal solution. Since this kind of problems are NPhard, it is useful to combine the presented formulation with heuristic methods in order to solve effectively large problem instances. The model was tested over the graphs with up to 85 nodes and 148 arcs, in order to validate it in cases with known solution.

2010 ◽  
Vol 56 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Jakub Gładysz ◽  
Krzysztof Walkowiak

Tabu Search Algorithm for Survivable Network Design Problem with Simultaneous Unicast and Anycast FlowsIn this work we focus on the problem of survivable network design for simultaneous unicast and anycast flows. This problem follows from the growing popularity of network services applying the anycast paradigm. The anycasting is defined as one-to-one-of-many transmission and is applied in Domain Name Service (DNS), peer-to-peer (P2P) systems, Content Delivery Networks (CDN). In this work we formulate two models that enables joint optimization of network capacity, working and backup connections for both unicast and anycast flows. The goal is to minimize the network cost required to protect the network against failures using the single backup path approach. In the first model we consider modular link cost, in the second we are given a set of link proposal and we must select only one of them. Because these problems are NP-hard, therefore optimal solutions of branch-and-bounds or branch-and-cut methods can be generated for relatively small networks. Consequently, we propose a new heuristic algorithm based on Tabu Search method. We present results showing the effectiveness the proposed heuristic compared against optimal results. Moreover, we report results showing that the use of anycast paradigm can reduce the network cost.


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