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Autonomous Resource Selection for Decentralized Utility Computing
Authors: Paolo Costa,
Jeff Napper,
Guillaume Pierre and Maarten van Steen.
Source: Proceedings of the 29th International Conference on Distributed Computing Systems (ICDCS),
June 2009.
Abstract
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Many large-scale utility computing infrastructures comprise
heterogeneous hardware and software resources. This raises the
need for scalable resource selection services, which identify
resources that match application requirements, and can potentially
be assigned to these applications. We present a fully
decentralized resource selection algorithm by which resources
autonomously select themselves when their attributes match a
query. An application specifies what it expects from a resource
by means of a conjunction of (attribute,value-range)
pairs, which are matched against the attribute values of
resources. We show that our solution scales in the number of
resources as well as in the number of attributes, while being
relatively insensitive to churn and other membership changes such
as node failures.
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Download
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The paper, in PDF (1,267,785 bytes). Note: we slightly edited the paper compared to the camera-ready version to increase the size of figures.
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Bibtex Entry
@InProceedings{,
author = {Paolo Costa and Jeff Napper and Guillaume Pierre
and Maarten van Steen},
title = {Autonomous Resource Selection for Decentralized
Utility Computing},
booktitle = {Proceedings of the 29th International Conference on
Distributed Computing Systems (ICDCS)},
address = {Montreal, Canada},
month = jun,
year = {2009},
note = {\url{http://www.globule.org/publi/ARAUC_icdcs2009.html}}
}
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gpierre@cs.vu.nl
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