Minimizing maximum fiber requirement in optical networks

  • Authors:
  • Matthew Andrews;Lisa Zhang

  • Affiliations:
  • Bell Laboratories, 600 Mountain Ave. Murray Hill, NJ 07974, USA;Bell Laboratories, 600 Mountain Ave. Murray Hill, NJ 07974, USA

  • Venue:
  • Journal of Computer and System Sciences
  • Year:
  • 2006

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Abstract

We study wavelength assignment in an optical network where each fiber has a fixed capacity of @m wavelengths. Given demand routes, we aim to minimize the maximum ratio between the number of fibers deployed on a link e and the number of fibers required on the same link e when wavelength assignment is allowed to be fractional. Our main results are negative ones. We show that there is no constant-factor approximation unless NP@? ZPP. In addition, unless NP @? ZPTIME(n^p^o^l^y^l^o^g^n) we show that there is no log^@c@m approximation for any @c@?(0,1) and no log^@cm approximation for any @c@?(0,0.5) where m is the number of links in the network. Our analysis is based on the hardness of approximating the chromatic numbers. On the positive side, we present algorithms with approximation ratios O(logm+log@m), O(logD"m"a"x+log@m) and O(D"m"a"x) respectively, where D"m"a"x is the length of the longest path.