Design of WDM networks under economy of scale pricing and shortest path routing

被引:0
|
作者
IEEE [1 ]
不详 [2 ]
不详 [3 ]
不详 [4 ]
不详 [5 ]
不详 [6 ]
不详 [7 ]
不详 [8 ]
机构
来源
IEEE J Sel Areas Commun | 2006年 / 4卷 / 26-36期
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
Cost effectiveness - Heuristic methods - Linear programming - Optical fibers - Polynomial approximation - Wavelength division multiplexing;
D O I
10.1109/JSAC.2006.1613770
中图分类号
学科分类号
摘要
Given a combination of unprotected and dedicated edge-disjoint path (1+1) protected connection requests and a finite set of fiber types, we consider the problem of allocating fibers on the links of a WDM network at minimum cost, such that all connection requests can be simultaneously realized. Each fiber type is characterized by its capacity and its cost per unit length, where costs reflect an economy of scale. It is known that a solution induced by simply routing each unprotected (respectively 1+1 protected) connection along the shortest path (respectively shortest pair of edge-disjoint paths) minimizes the total wavelength mileage, but may not minimize the total fiber cost. In this paper, we quantify the increase in fiber cost due to shortest path routing. In particular, we prove that the total cost of a shortest path based solution is guaranteed to lie within a certain factor of the minimum possible cost. This leads also to the fact that shortest path routing is asymptotically cost-optimal for a large total number of connection requests. Furthermore, for sparse topologies, e.g., the ring, the ShuffleNet and the mesh(-torus), we show that shortest path routing is asymptotically cost-optimal in large-scale networks supporting all-to-all communication. En route, we prove that by shortest path routing we obtain a provably optimal solution to the linear programming (LP-) relaxation of the problem. We have thus presented a provably good upper bound and a lower bound on the total fiber cost, that can be computed in polynomial-time. These bounds can be used as benchmarks against which heuristic approaches are compared. © 2006 IEEE.
引用
收藏
相关论文
共 50 条
  • [21] On shortest path routing schemes for wireless ad hoc networks
    Dhar, S
    Rieck, MQ
    Pai, S
    HIGH PERFORMANCE COMPUTING - HIPC 2003, 2003, 2913 : 130 - 141
  • [23] Primal and dual neural networks for shortest-path routing
    Wang, J
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 1998, 28 (06): : 864 - 869
  • [24] Fault free shortest path routing on the de Bruijn networks
    Nguyen, NC
    Vo, NMD
    Lee, S
    NETWORKING - ICN 2005, PT 2, 2005, 3421 : 327 - 334
  • [25] Shortest Path Versus Multihub Routing in Networks With Uncertain Demand
    Frechette, Alexandre
    Shepherd, F. Bruce
    Thottan, Marina K.
    Winzer, Peter J.
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2015, 23 (06) : 1931 - 1943
  • [26] Shortest path routing in partially connected ad hoc networks
    Tan, K
    Zhang, Q
    Zhu, WW
    GLOBECOM'03: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-7, 2003, : 1038 - 1042
  • [27] Topology, shortest path routing and lifetime of ad hoc networks
    Dhillon, S. S.
    Zhou, Y.
    2007 14TH IEEE SYMPOSIUM ON COMMUNICATIONS AND VEHICULAR TECHNOLOGY IN THE BENELUX, 2007, : 151 - 155
  • [28] Online Learning for Shortest Path and Backpressure Routing in Wireless Networks
    Amar, Omer
    Cohen, Kobi
    2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2021, : 2702 - 2707
  • [29] A Shortest-Path Tree Approach for Routing in Space Networks
    Olivier De Jonckère
    Juan A.Fraire
    中国通信, 2020, 17 (07) : 52 - 66
  • [30] Shortest path routing algorithm based on chaotic neural networks
    Zhang, Huidang
    He, Yuyao
    Zhang, Qizhi
    Jisuanji Gongcheng/Computer Engineering, 2006, 32 (17): : 12 - 14