Decentralized Probabilistic Auto-Scaling for Heterogeneous Systems

The DEPAS (Decentralized Probabilistic Auto-Scaling) algorithm assumes an overlay network of computing nodes where each node probabilistically decides to shut down, allocate one or more other nodes or do nothing. DEPAS was formulated, tested, and theoretically analyzed for the simplified case of hom...

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Bibliographic Details
Published inarXiv.org
Main Authors Bogdan Alexandru Caprarescu, Petcu, Dana
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 17.03.2012
Subjects
Algorithms
Nodes
Scaling
Shutdowns
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Summary:The DEPAS (Decentralized Probabilistic Auto-Scaling) algorithm assumes an overlay network of computing nodes where each node probabilistically decides to shut down, allocate one or more other nodes or do nothing. DEPAS was formulated, tested, and theoretically analyzed for the simplified case of homogenous systems. In this paper, we extend DEPAS to heterogeneous systems.
ISSN:2331-8422