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41st Annual Symposium on Foundations of Computer Science
Linear waste of best fit bin packing on skewed distributions
Redondo Beach, California
November 12-November 14
ISBN: 0-7695-0850-2
C. Kenyon, Paris-Sud Univ., France
M. Mitzenmacher, Paris-Sud Univ., France
We prove that best-fit bin packing has linear waste on the discrete distribution U{j,k} (where items are drawn uniformly from the set {1/k, 2/k, ..., j/k}) for sufficiently large k when j=/spl alpha/k and 0.66/spl les//spl alpha/>2/3. Our results extend to continuous skewed distributions, where items are drawn uniformly on [0,a], for 0.66/spl les/a>2/3. This implies that the expected asymptotic performance ratio of best-fit bin packing is strictly greater than 1 for these distributions.
Index Terms:
bin packing; probability; performance index; linear waste; best-fit bin packing; discrete distribution; continuous skewed distributions; asymptotic performance ratio
Citation:
C. Kenyon, M. Mitzenmacher, "Linear waste of best fit bin packing on skewed distributions," focs, pp.582, 41st Annual Symposium on Foundations of Computer Science, 2000
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