Abstract:The authors settle the complexity status of the robust network design problem in undirected graphs. The fact that the flow-cut gap in general graphs can be large, poses some difficulty in establishing a hardness result. Instead, the authors introduce a single-source version of the problem where the flow-cut gap is known to be one. They then show that this restricted problem is coNP-Hard. This version also captures, as special cases, the fractional relaxations of several problems including the spanning tree pro… Show more
“…More precisely, answering the question whether a given traffic polytope can be dynamically routed through a known capacitated network is a co-N Pcomplete problem [11].…”
Section: Dynamic Routingmentioning
confidence: 99%
“…An interesting observation is that for each D there exists a simple way to obtain an optimal pair of vectors α and β. (11) yield an optimal solution, i.e., there are no cheaper solutions to General Volume-Oriented Routing for any other α and β.…”
Section: General Volume-oriented Routingmentioning
confidence: 99%
“…While stable routing is easy to implement, it can be expensive in terms of cost when compared to an optimal dynamic strategy where routing depends on the current traffic matrix. However, dynamic routing has two drawbacks: it is difficult to implement and is also difficult to compute as shown in [11].…”
Assuming that the traffic matrix belongs to a polytope, we present a new routing paradigm where each traffic demand is routed independently of the other demands: the volume-oriented routing. The routing of each demand is a combination of two extreme routing schemes depending on the current volume of the demand. This new routing paradigm is easy to implement in networks and quite efficient in terms of network cost. However, computing an optimal volume-oriented routing is generally difficult. Then, we introduce two modifications of the presented routing paradigm such that an optimal solution can be computed in polynomial time. Numerical experiments are also provided to compare volume-oriented routing with the best routing strategy in term of costs, i.e, dynamic routing.
“…More precisely, answering the question whether a given traffic polytope can be dynamically routed through a known capacitated network is a co-N Pcomplete problem [11].…”
Section: Dynamic Routingmentioning
confidence: 99%
“…An interesting observation is that for each D there exists a simple way to obtain an optimal pair of vectors α and β. (11) yield an optimal solution, i.e., there are no cheaper solutions to General Volume-Oriented Routing for any other α and β.…”
Section: General Volume-oriented Routingmentioning
confidence: 99%
“…While stable routing is easy to implement, it can be expensive in terms of cost when compared to an optimal dynamic strategy where routing depends on the current traffic matrix. However, dynamic routing has two drawbacks: it is difficult to implement and is also difficult to compute as shown in [11].…”
Assuming that the traffic matrix belongs to a polytope, we present a new routing paradigm where each traffic demand is routed independently of the other demands: the volume-oriented routing. The routing of each demand is a combination of two extreme routing schemes depending on the current volume of the demand. This new routing paradigm is easy to implement in networks and quite efficient in terms of network cost. However, computing an optimal volume-oriented routing is generally difficult. Then, we introduce two modifications of the presented routing paradigm such that an optimal solution can be computed in polynomial time. Numerical experiments are also provided to compare volume-oriented routing with the best routing strategy in term of costs, i.e, dynamic routing.
“…The construction in [13] uses meshes (grids), building on work of [4,14]. This construction does not seem to extend to the total cost model however, and we use instead a construction based on expanders, extending and simplifying a connection shown in earlier work [7].…”
Section: Introductionmentioning
confidence: 99%
“…This answers a question in [6], and is tight up to constant factors. Our proof technique builds on a connection between expander graphs and robust design for single-sink traffic patterns [7].
…”
Abstract. Consider the robust network design problem of finding a minimum cost network with enough capacity to route all traffic demand matrices in a given polytope. We investigate the impact of different routing models in this robust setting: in particular, we compare oblivious routing, where the routing between each terminal pair must be fixed in advance, to dynamic routing, where routings may depend arbitrarily on the current demand. Our main result is a construction that shows that the optimal cost of such a network based on oblivious routing (fractional or integral) may be a factor of Ω(log n) more than the cost required when using dynamic routing. This is true even in the important special case of the asymmetric hose model. This answers a question in [6], and is tight up to constant factors. Our proof technique builds on a connection between expander graphs and robust design for single-sink traffic patterns [7].
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