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Balanced Allocations of Cake

Authors: Jeff Edmonds; Kirk Pruhs;

Balanced Allocations of Cake

Abstract

We give a randomized algorithm for the well known caking cutting problem that achieves approximate fairness, and has complexity O(n), when all players are honest. The heart of this result involves extending the standard offline multiple-choice balls and bins analysis to the case where the underlying resources/bins/machines have different utilities to different players/balls/jobs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Average
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