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The source code and results of the simulations for the paper entitled "Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers Under Quality of Service Constraints", which has been accepted to IEEE Transactions on Parallel and Distributed Systems.

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This project contains the source code and results of the simulations for the paper entitled "Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers Under Quality of Service Constraints", which has been accepted to IEEE Transactions on Parallel and Distributed Systems.

Usage

First, run the script to install Michael Thomas Flanagan's Java Scientific Library (http://www.ee.ucl.ac.uk/~mflanaga/java/) to the local Maven repository:

./install_flanagan

To download the dependencies and compile the source code:

lein compile

To create Eclipse project files:

lein eclipse

To run the unit tests:

lein midje

Please see examples of running simulation in the included scripts: run-*.sh

Workload data

The workload data have been obtained from the CoMon project, a monitoring infrastructure for PlanetLab (http://comon.cs.princeton.edu/). The data used in the simulations in the CSV format are available at https://github.com/beloglazov/tpds-2012-workload

The workload data have been transformed in the required internal data format and is located in the workload/ directory.

The file name format is the following: planetlab_n_otf1_otf2_index

where:

    n     - the number of different simulation runs
    otf1  - the minimum OTF value of each CPU utilization trace
    otf2  - the maximum OTF value after the first 30 time frames of each CPU
            utilization trace
    index - the index of the workload file

License

Copyright (C) 2012 Anton Beloglazov

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The source code and results of the simulations for the paper entitled "Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers Under Quality of Service Constraints", which has been accepted to IEEE Transactions on Parallel and Distributed Systems.

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