NDLI: Fully Dynamic Algorithms for Bin Packing: Being (Mostly) Myopic Helps

Content Provider	Society for Industrial and Applied Mathematics (SIAM)
Author	Lloyd, Errol L. Ivkovic, Zoran
Copyright Year	1998
Abstract	The problem of maintaining an approximate solution for one-dimensional bin packing when items may arrive and depart dynamically is studied. In accordance with various work on fully dynamic algorithms, and in contrast to prior work on bin packing, it is assumed that the packing may be arbitrarily rearranged to accommodate arriving and departing items. In this context our main result is a fully dynamic approximation algorithm for bin packing MMP that is $\frac{5}{4}$-competitive and requires $\Theta(\log n)$ time per operation (i.e., for an Insert or a Delete of an item). This competitive ratio of $\frac{5}{4}$ is nearly as good as that of the best practical off-line algorithms. Our algorithm utilizes the technique (introduced here) whereby the packing of an item is done with a total disregard for already packed items of a smaller size. This myopic packing of an item may then cause several smaller items to be repacked (in a similar fashion). With a bit of additional sophistication to avoid certain "bad" cases, the number of items (either individual items or "bundles" of very small items treated as a whole) that needs to be repacked is bounded by a constant.
Starting Page	574
Ending Page	611
Page Count	38
File Format	PDF
ISSN	00975397
DOI	10.1137/S0097539794276749
e-ISSN	10957111
Journal	SIAM Journal on Computing (SMJCAT)
Issue Number	2
Volume Number	28
Language	English
Publisher	Society for Industrial and Applied Mathematics
Publisher Date	2006-07-28
Access Restriction	Subscribed
Subject Keyword	fully dynamic algorithm Analysis of algorithms and problem complexity Data structures Combinatorics bin packing
Content Type	Text
Resource Type	Article
Subject	Mathematics Computer Science

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