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ABSTRACT Tit-for-Tat Distributed Resource Allocation (2008)

Abstract
Distributed computing infrastructures have risen in popularity over the past decade, however resource allocation on these—largely federated—systems remains a practically unsolved problem. Previous attempts have either relied upon central management of resources, which is infeasible in a federated model, and market-based economies which we classify into systems using global, transferrable currency and systems using local, transferrable currency. We present an alternate approach which represents pair-wise, tit-for-tat relationships as local, non-transferrable currency. This approach promises to provide a solution that does not require a globally trusted third party and is easier to deploy and maintain than previous systems. 1. PROBLEM DEFINITION Recently developed large-scale, distributed, federated computing

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Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.104.1520
Source http://www.sigcomm.org/sigcomm2006/papers/poster-08.pdf
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Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
Relation 10.1.1.118.6934, 10.1.1.68.5397