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ABSTRACT
A new framework for analyzing online bin packing algorithms is presented. This framework presents a unified way of explaining the performance of algorithms based on the Harmonic approach. Within this framework, it is shown that a new algorithm, Harmonic++, has asymptotic performance ratio at most 1.58889. It is also shown that the analysis of Harmonic+1 presented in Richey [1991] is incorrect; this is a fundamental logical flaw, not an error in calculation or an omitted case. The asymptotic performance ratio of Harmonic+1 is at least 1.59217. Thus, Harmonic++ provides the best upper bound for the online bin packing problem to date.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 13
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Fan Chung , Ronald Graham , Ranjita Bhagwan , Stefan Savage , Geoffrey M. Voelker, Maximizing data locality in distributed systems, Journal of Computer and System Sciences, v.72 n.8, p.1309-1316, December, 2006
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Sándor P. Fekete , Jan C. van der Veen , Ali Ahmadinia , Diana Göhringer , Mateusz Majer , Jürgen Teich, Offline and online aspects of defragmenting the module layout of a partially reconfigurable device, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, v.16 n.9, p.1210-1219, September 2008
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