An Inhomogeneous Hidden Markov Model for Efficient Virtual Machine Placement in Cloud Computing Environments

Author:

Hammer Hugo Lewi1,Yazidi Anis1,Begnum Kyrre1

Affiliation:

1. Department of Computer Science; Oslo and Akershus University College of Applied Sciences; Oslo Norway

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modelling and Simulation

Reference21 articles.

1. Modeling portfolio defaults using hidden Markov models with covariates;Banachewicz;Econometrics Journal,2007

2. OpenStack Neat: a framework for dynamic and energy-efficient consolidation of virtual machines in Open-Stack clouds;Beloglazov;Concurrency and Computation: Practice and Experience,2015

3. Using hidden Markov model to analyse extreme rainfall events in central-east Sardinia;Betr;Environmetrics,2008

4. Duration-dependent transitions in a Markov model of U.S. GNP growth;Durland;Journal of Business and Economic Statistics,1994

5. Energy-Aware Virtual Machine Consolidation in IaaS Cloud Computing

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