Abstract:Abstract-In all-optical networks that use WDM technology it is often the case that several communication requests have to be blocked, due to bandwidth and technology limitations. Minimizing request blocking is therefore an important task calling for algorithmic techniques for efficient routing and wavelength assignment.Here we study the problem for rings under both the undirected and the directed settings, corresponding to symmetric and oneway communication respectively. The problem in graph-theoretic terms ca… Show more
“…This approach can be extended to give a polynomial-time algorithm for bidirected spiders as well, as shown for a more general problem by Erlebach and Vukadinović [22]. In undirected or bidirected rings, MEDP can also be solved optimally in polynomial time [58,49].…”
Section: Polynomial-time Solvable Cases and Hardness Resultsmentioning
confidence: 99%
“…By a general reduction [17,2], a ρ-approximation algorithm for MEDP can be converted into an approximation algorithm with ratio at most 1/(1 − e −1/ρ ) ≤ ρ + 1 for MAXPC. In some cases, better approximation ratios for MAXPC have been obtained using more direct approaches, for example by Nomikos et al for MAXPC in undirected and bidirected rings [49].…”
Section: Further Results For Related Problemsmentioning
Abstract. In the maximum edge-disjoint paths problem (MEDP) the input consists of a graph and a set of requests (pairs of vertices), and the goal is to connect as many requests as possible along edge-disjoint paths. We give a survey of known results about the complexity and approximability of MEDP and sketch some of the main ideas that have been used to obtain approximation algorithms for the problem. We consider also the generalization of MEDP where the edges of the graph have capacities and each request has a profit and a demand, called the unsplittable flow problem.
“…This approach can be extended to give a polynomial-time algorithm for bidirected spiders as well, as shown for a more general problem by Erlebach and Vukadinović [22]. In undirected or bidirected rings, MEDP can also be solved optimally in polynomial time [58,49].…”
Section: Polynomial-time Solvable Cases and Hardness Resultsmentioning
confidence: 99%
“…By a general reduction [17,2], a ρ-approximation algorithm for MEDP can be converted into an approximation algorithm with ratio at most 1/(1 − e −1/ρ ) ≤ ρ + 1 for MAXPC. In some cases, better approximation ratios for MAXPC have been obtained using more direct approaches, for example by Nomikos et al for MAXPC in undirected and bidirected rings [49].…”
Section: Further Results For Related Problemsmentioning
Abstract. In the maximum edge-disjoint paths problem (MEDP) the input consists of a graph and a set of requests (pairs of vertices), and the goal is to connect as many requests as possible along edge-disjoint paths. We give a survey of known results about the complexity and approximability of MEDP and sketch some of the main ideas that have been used to obtain approximation algorithms for the problem. We consider also the generalization of MEDP where the edges of the graph have capacities and each request has a profit and a demand, called the unsplittable flow problem.
“…We consider not only the basic iterative algorithm that iteratively computes link-disjoint paths but also more involved algorithms. We show that even the basic iterative algorithm combined with algorithm CL has approximation ratio 18/13 ≈ 1.38462 and 60/41 ≈ 1.46341 in undirected and bidirected rings, respectively, significantly improving the e e−1 bound of [1,24] and the ratios of the algorithms in [17,18]. More involved iterative algorithms that use local search algorithms for computing set packings are proved to achieve approximation ratios 4/3 and 719/509 + ≈ 1.41257, respectively.…”
Section: Maximum Routing and Path Coloring (Maxrpc)mentioning
confidence: 97%
“…Hence, we obtain that the benefit of algorithm I&3LS when it terminates by assigning the last wavelength to a single connection is at least Next we present algorithms that improve the 11/7 approximation bound of [18] in bidirected rings. We denote by bCL-I the algorithm obtained by combining algorithm CL with the basic iterative algorithm that iteratively computes compatible sets of connections on bidirected rings.…”
Section: Applications To Maxrpcmentioning
confidence: 99%
“…Awerbuch et al [1] (see also [24]) show that algorithms that iteratively call link-disjoint paths algorithms to compute solutions to maxRPC with arbitrary w have slightly worse approximation ratio than the ratio of the algorithm that is used to compute link-disjoint paths. In undirected and bidirected rings, link-disjoint paths of maximum size can be computed in polynomial-time yielding iterative algorithms with approximation ratio e e−1 ≈ 1.58198 [24] (see also the discussion in [18]). The best known approximation algorithms for maxRPC (and maxPC) in undirected rings has approximation ratio 3/2 [17,18] while an 11/7-approximation algorithm for maxRPC in bidirected rings is presented in [18].…”
Section: Maximum Routing and Path Coloring (Maxrpc)mentioning
Abstract. We study computationally hard combinatorial problems arising from the important engineering question of how to maximize the number of connections that can be simultaneously served in a WDM optical network. In such networks, WDM technology can satisfy a set of connections by computing a route and assigning a wavelength to each connection so that no two connections routed through the same fiber are assigned the same wavelength. Each fiber supports a limited number of w wavelengths and in order to fully exploit the parallelism provided by the technology, one should select a set connections of maximum cardinality which can be satisfied using the available wavelengths. This is known as the maximum routing and path coloring problem (maxRPC). Our main contribution is a general analysis method for a class of iterative algorithms for a more general coloring problem. A lower bound on the benefit of such an algorithm in terms of the optimal benefit and the number of available wavelengths is given by a benefit-revealing linear program. We apply this method to maxRPC in both undirected and bidirected rings to obtain bounds on the approximability of several algorithms. Our results also apply to the problem maxPC where paths instead of connections are given as part of the input. We also study the profit version of maxPC in rings where each path has a profit and the objective is to satisfy a set of paths of maximum total profit.
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