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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 homogenous systems. In this paper, we extend DEPAS to heterogeneous systems.

preprint2012arXivOpen access
Bogdan Alexandru CaprarescuDana Petcu
Distributed, Parallel, and Cluster Computing
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Open access2 authors1 topic
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Bogdan Alexandru CaprarescuDana Petcu

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