CloudSim

CloudSim[1] is a framework for modeling and simulation of cloud computing infrastructures and services. Originally built primarily at the Cloud Computing and Distributed Systems (CLOUDS) Laboratory,[2] The University of Melbourne, Australia, CloudSim has become one of the most popular open source cloud simulators in the research and academia. CloudSim is completely written in Java.

CloudSim Extensions

Initially developed as a stand-alone cloud simulator, CloudSim has further been extended by independent researchers.

  • Though CloudSim itself does not have a graphical user interface, extensions such as CloudReports[3] offer a GUI for CloudSim simulations.
  • CloudSimEx[4] extends CloudSim by adding MapReduce simulation capabilities and parallel simulations.
  • Cloud2Sim[5][6] extends CloudSim to execute on multiple distributed servers, by leveraging Hazelcast distributed execution framework.

CloudSim Learning Resources

There are multiple tutorials and blog posts available on CloudSim. In addition, there is an online course introducing CloudSim Simulation Framework [7] covering the installation, architecture and execution description, and sample simulations.

References

  1. ↑ Calheiros RN, Ranjan R, Beloglazov A, De Rose CA, Buyya R (2011). "CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms" (PDF). Software: Practice and Experience. 41 (1): 23–50. doi:10.1002/spe.995.
  2. ↑ "The Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne".
  3. ↑ Sá, Thiago Teixeira; Calheiros, Rodrigo N.; Gomes., Danielo G. (2014). "CloudReports: An Extensible Simulation Tool for Energy-Aware Cloud Computing Environments". In Cloud Computing, Springer International Publishing: 127–142.
  4. ↑ "CloudSimEx Project".
  5. ↑ Kathiravelu, Pradeeban; Veiga, Luís (9 September 2014). Concurrent and Distributed CloudSim Simulations (PDF). IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS). Paris. pp. 490–493. Archived from the original (pdf) on 9 September 2014. Retrieved 2 January 2016.
  6. ↑ Kathiravelu, Pradeeban; Veiga, Luís (8 December 2014). An Adaptive Distributed Simulator for Cloud and MapReduce Algorithms and Architectures (PDF). IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), 2014. London. pp. 79–88. Archived from the original (pdf) on 8 December 2014. Retrieved 2 January 2016.
  7. ↑ "SuperWits Academy: CloudSim Simulation Framework Course".
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