CloudSim

From HandWiki

CloudSim is a framework for modeling and simulation of cloud computing infrastructures and services.[1] 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[citation needed] cloud simulators in the research and academia. CloudSim is completely written in Java. The latest version of CloudSim is CloudSim v6.0.0-beta on GitHub.[3] Cloudsim is suitable for implementing simulations scenarios based on Infrastructure as a service as well as with latest version Platform as a service, so get started here

CloudSim extensions

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

  • GPUCloudSim[4][5][6] is an enhanced CloudSim tool for modeling GPU-based cloud infrastructures and data centers. It offers simulations for multi-GPU setups, customizable GPU policies, GPU remoting, etc. It also examines performance impacts and interactions within virtualized GPU environments.
  • CloudSim Plus[7][8] is a totally re-engineered CloudSim fork providing general-purpose cloud computing simulation and exclusive features such as: multi-cloud simulations, vertical and horizontal VM scaling, host fault injection and recovery, joint power- and network-aware simulations and more.
  • Though CloudSim itself does not have a graphical user interface, extensions such as CloudReports[9] offer a GUI for CloudSim simulations.
  • CloudSimEx[10] extends CloudSim by adding MapReduce simulation capabilities and parallel simulations.
  • Cloud2Sim[11][12] extends CloudSim to execute on multiple distributed servers, by leveraging Hazelcast distributed execution framework.
  • RECAP DES[13][14][15] extends the CloudSim Plus framework to model synchronous hierarchical architectures (such as ElasticSearch).
  • ThermoSim[16][17] extends CloudSim toolkit by incorporating thermal characteristics, and uses Deep learning-based temperature predictor for cloud nodes.

References

  1. ↑ Calheiros, Rodrigo N.; Ranjan, Rajiv; Beloglazov, Anton; De Rose, César AF; Buyya, Rajkumar (2011). "CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms.". Software: Practice and Experience 41 (1): 23–50. doi:10.1002/spe.995. http://www.buyya.com/papers/CloudSim2010.pdf. 
  2. ↑ "The Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne". http://www.cloudbus.org/. 
  3. ↑ "CloudSimE". 2 February 2023. https://github.com/Cloudslab/cloudsim/releases. 
  4. ↑ "GPUCloudSim GitHub". 1 December 2023. https://github.com/ahmad-siavashi/gpucloudsim. 
  5. ↑ Siavashi, A., Momtazpour, M. (2019). "GPUCloudSim: an extension of CloudSim for modeling and simulation of GPUs in cloud data centers". Journal of Supercomputing, 75, 2535–2561.
  6. ↑ Siavashi, A.; Momtazpour, M. (2023). "gVMP: A multi-objective joint VM and vGPU placement heuristic for API remoting-based GPU virtualization and disaggregation in cloud data centers". Journal of Parallel and Distributed Computing 172: 97–113. doi:10.1016/j.jpdc.2022.10.008. ISSN 0743-7315. https://www.sciencedirect.com/science/article/pii/S0743731522002234. 
  7. ↑ "CloudSim Plus Project". 28 October 2021. https://cloudsimplus.org. 
  8. ↑ Silva Filho, Manoel; Oliveira, Raysa; Inácio, Pedro; Freire, Mario (8-12 May 2017). "CloudSim Plus: a Cloud Computing Simulation Framework Pursuing Software Engineering Principles for Improved Modularity, Extensibility and Correctness". IFIP/IEEE International Symposium on Integrated Network Management, 2017. Lisbon. p. 7. doi:10.23919/INM.2017.7987304. 
  9. ↑ Sá, Thiago Teixeira; Calheiros, Rodrigo N.; Gomes., Danielo G. (2014). "CloudReports: An Extensible Simulation Tool for Energy-Aware Cloud Computing Environments". Cloud Computing. Computer Communications and Networks. In Cloud Computing, Springer International Publishing. pp. 127–142. doi:10.1007/978-3-319-10530-7_6. ISBN 978-3-319-10529-1. 
  10. ↑ "CloudSimEx Project". 6 August 2018. https://github.com/Cloudslab/CloudSimEx. 
  11. ↑ Kathiravelu, Pradeeban; Veiga, Luís (9 September 2014). "Concurrent and Distributed CloudSim Simulations". IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS). Paris. pp. 490–493. doi:10.1109/MASCOTS.2014.70. 
  12. ↑ Kathiravelu, Pradeeban; Veiga, Luís (8 December 2014). "An Adaptive Distributed Simulator for Cloud and MapReduce Algorithms and Architectures". IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), 2014. London. pp. 79–88. doi:10.1109/UCC.2014.16. 
  13. ↑ "RECAP DES repository". https://bitbucket.org/RECAP-DES/. 
  14. ↑ M. Bendechache, S. Svorobej, P. T. Endo, M. Marino, E. Ares, J. Byrne and T. Lynn, "Modelling and Simulation of ElasticSearch using CloudSim," International Symposium on Distributed Simulation and Real Time Applications, 2019.
  15. ↑ M. Bendechache, I. Silva, G. Santos, A. Guedes, S. Svorobej, M. Marino, E. Ares, J. Byrne, P. T. Endo and T. Lynn, "Analysing dependability and performance of a real-world Elastic Search application," Latin-America Symposium on Dependable Computing, 2019.
  16. ↑ Gill, Sukhpal Singh; Tuli, Shreshth; Toosi, Adel Nadjaran; Cuadrado, Felix; Garraghan, Peter; Bahsoon, Rami; Lutfiyya, Hanan; Sakellariou, Rizos et al. (August 2020). "ThermoSim repository". Journal of Systems and Software 166. doi:10.1016/j.jss.2020.110596. https://www.sciencedirect.com/science/article/pii/S0164121220300753. 
  17. ↑ Sukhpal Singh Gill, Shreshth Tuli, Adel Nadjaran Toosi, Felix Cuadrado, Peter Garraghan, Rami Bahsoon, Hanan Lutfiyya, Rizos Sakellariou, Omer Rana, Schahram Dustdar, and Rajkumar Buyya, ThermoSim: Deep Learning based Framework for Modeling and Simulation of Thermal-aware Resource Management for Cloud Computing Environments, Journal of Systems and Software (JSS), Volume 166, Pages: 1–20, ISSN 0164-1212, Elsevier Press, Amsterdam, the Netherlands, August 2020.



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