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
Main Authors Caprarescu, Bogdan Alexandru, Petcu, Dana
Format Journal Article
LanguageEnglish
Published 17.03.2012
Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
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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.
DOI:10.48550/arxiv.1203.3885