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Spare Capacity Allocation for Non-Linear Link Cost and Failure-Dependent Path Restoration (2001)
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BibTeX
@MISC{Liu01sparecapacity,
author = {Yu Liu and David Tipper},
title = {Spare Capacity Allocation for Non-Linear Link Cost and Failure-Dependent Path Restoration},
year = {2001}
}
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Abstract
The design of survivable mesh based communication networks has received considerable attention in recent years. One task is to route backup paths and allocate spare capacity in the network to guarantee seamless communications services survivable to a set of failure scenarios. This is a complex multi-constraint optimization problem, called spare capacity allocation (SCA). This paper presents a matrix based model for the NP-complete SCA problem on directed networks and develops an approximation algorithm, termed successive survivable routing (SSR) to include non-linear capacity cost and failure-dependent path restoration. The SCA problem using a modular link cost function is studied using SSR. Numerical results of total spare capacity and total cost are compared showing that SSR finds solutions with lower total costs when a non-linear cost function is considered. Moreover, the SCA problem using failure-dependent path restoration, which finds multiple backup paths for each working path, is discussed. A numerical comparison among different path restoration schemes using SSR is given showing the tradeoffs.
Keyphrases
failure-dependent path restoration spare capacity allocation non-linear link cost sca problem total cost successive survivable routing backup path numerical result survivable mesh considerable attention allocate spare capacity different path restoration scheme non-linear capacity cost non-linear cost function complex multi-constraint optimization problem communication network modular link cost function guarantee seamless communication service directed network failure scenario approximation algorithm multiple backup path total spare capacity numerical comparison recent year np-complete sca problem
