472:
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
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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. Cloudsim is suitable for implemeting simulations scenarios based on
Infrastructure as a service as well as with latest version Platform as a
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CloudSim Plus 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
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GPUCloudSim 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
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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,
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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,
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infrastructures and services. Originally built primarily at the Cloud
Computing and Distributed Systems (CLOUDS) Laboratory, the University of Melbourne, Australia, CloudSim has become one of the most popular
423:
Gill, Sukhpal Singh; Tuli, Shreshth; Toosi, Adel
Nadjaran; Cuadrado, Felix; Garraghan, Peter; Bahsoon, Rami; Lutfiyya, Hanan; Sakellariou, Rizos; Rana, Omer; Dustdar, Schahram; Buyya, Rajkumar (August 2020).
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Sá, Thiago
Teixeira; Calheiros, Rodrigo N.; Gomes., Danielo G. (2014). "CloudReports: An Extensible Simulation Tool for Energy-Aware Cloud Computing Environments".
347:. IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS). Paris. pp. 490–493.
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CloudSim Plus: a Cloud
Computing Simulation Framework Pursuing Software Engineering Principles for Improved Modularity, Extensibility and Correctness
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216:"gVMP: A multi-objective joint VM and vGPU placement heuristic for API remoting-based GPU virtualization and disaggregation in cloud data centers"
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ThermoSim extends CloudSim toolkit by incorporating thermal characteristics, and uses Deep learning-based temperature predictor for cloud nodes.
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Siavashi, A., Momtazpour, M. (2019). "GPUCloudSim: an extension of CloudSim for modeling and simulation of GPUs in cloud data centers".
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Though CloudSim itself does not have a graphical user interface, extensions such as CloudReports offer a GUI for CloudSim simulations.
99:"CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms"
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RECAP DES extends the CloudSim Plus framework to model synchronous hierarchical architectures (such as
ElasticSearch).
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Initially developed as a stand-alone cloud simulator, CloudSim has further been extended by independent researchers.
294:. Computer Communications and Networks. In Cloud Computing, Springer International Publishing. pp. 127–142.
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370:. IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), 2014. London. pp. 79–88.
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271:. IFIP/IEEE International Symposium on Integrated Network Management, 2017. Lisbon. p. 7.
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Cloud
Computing Environments, Journal of Systems and Software (JSS), Volume 166, Pages: 1–20,
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148:"The Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne"
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An Adaptive Distributed Simulator for Cloud and MapReduce Algorithms and Architectures
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Cloud2Sim extends CloudSim to execute on multiple distributed servers, by leveraging
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Silva Filho, Manoel; Oliveira, Raysa; Inácio, Pedro; Freire, Mario (8–12 May 2017).
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Calheiros RN, Ranjan R, Beloglazov A, De Rose CA, Buyya R (2011).
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481:, Elsevier Press, Amsterdam, the Netherlands, August 2020.
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Kathiravelu, Pradeeban; Veiga, Luís (9 September 2014).
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Kathiravelu, Pradeeban; Veiga, Luís (8 December 2014).
66:simulation capabilities and parallel simulations.
345:Concurrent and Distributed CloudSim Simulations
24:is a framework for modeling and simulation of
220:Journal of Parallel and Distributed Computing
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62:CloudSimEx extends CloudSim by adding
214:Siavashi, A.; Momtazpour, M. (2023).
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106:Software: Practice and Experience
73:distributed execution framework.
430:Journal of Systems and Software
514:Scientific simulation software
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300:10.1007/978-3-319-10530-7_6
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232:10.1016/j.jpdc.2022.10.008
452:10.1016/j.jss.2020.110596
277:10.23919/INM.2017.7987304
202:Journal of Supercomputing
18:Cloud computing simulator
353:10.1109/MASCOTS.2014.70
254:"CloudSim Plus Project"
426:"ThermoSim repository"
390:"RECAP DES repository"
524:Cloud infrastructure
324:"CloudSimEx Project"
182:"GPUCloudSim GitHub"
376:10.1109/UCC.2014.16
41:CloudSim extensions
36:so get started here
256:. 28 October 2021.
190:. 1 December 2023.
170:. 2 February 2023.
309:978-3-319-10529-1
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162:"CloudSimE"
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31:open source
508:Categories
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436:: 110596.
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84:References
479:0164-1212
460:215814095
240:0743-7315
71:Hazelcast
64:MapReduce
34:service,
134:14970692
22:CloudSim
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456:S2CID
438:arXiv
413:2019.
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102:(PDF)
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475:ISSN
304:ISBN
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Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.