cloud sim

A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services

Cloud computing is the leading technology for delivery of reliable, secure, fault-tolerant, sustainable, and scalable computational services.

For assurance of such characteristics in cloud systems under development, it is required timely, repeatable, and controllable methodologies for evaluation of new cloud applications and policies before actual development of cloud products. Because utilization of real testbeds limits the experiments to the scale of the testbed and makes the reproduction of results an extremely difficult undertaking, simulation may be used.

CloudSim goal is to provide a generalized and extensible simulation framework that enables modeling, simulation, and experimentation of emerging Cloud computing infrastructures and application services, allowing its users to focus on specific system design issues that they want to investigate, without getting concerned about the low level details related to Cloud-based infrastructures and services.

DOWNLOAD : cloudsim-3.0.tar.gz   9.9 MB

                                     cloudsim-3.0.zip   13.0 MB

The downloaded package contains all the source code, examples, jars, and API html files.

Software License
The CloudSim Toolkit software is released as open source under the LGPL license.
Copyright The CLOUDS Lab, The University of Melbourne, 2009- to date. 

Main features

• support for modeling and simulation of large scale Cloud computing data centers
• support for modeling and simulation of virtualized server hosts, with customizable policies for provisioning host resources to virtual machines
• support for modeling and simulation of energy-aware computational resources
• support for modeling and simulation of data center network topologies and message-passing applications
• support for modeling and simulation of federated clouds
• support for dynamic insertion of simulation elements, stop and resume of simulation
• support for user-defined policies for allocation of hosts to virtual machines and policies for allocation of host resources to virtual machines

Some publications using CloudSim results

• Anton Beloglazov, and Rajkumar Buyya, Optimal Online Deterministic Algorithms and Adaptive Heuristics for Energy and Performance Efficient Dynamic Consolidation of Virtual Machines in Cloud Data Centers, Concurrency and Computation: Practice and Experience, ISSN: 1532-0626, Wiley Press, New York, USA, 2011, DOI: 10.1002/cpe.1867
• Rodrigo Calheiros, Rajiv Ranjan and Rajkumar Buyya, Virtual Machine Provisioning Based on Analytical Performance and QoS in Cloud Computing Environments, Proceedings of the 40th International Conference on Parallel Processing (ICPP 2011), Taipei, Taiwan, September 13-16, 2011.
• Linlin Wu, Saurabh Kumar Garg and Rajkumar Buyya, SLA-based Resource Allocation for a Software as a Service Provider in Cloud Computing Environments, Proceedings of the 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2011), Los Angeles, USA, May 23-26, 2011.
• Adel Nadjaran Toosi, Rodrigo N. Calheiros, Ruppa K. Thulasiran, Rajkumar Buyya, Resource Provisioning Policies to Increase IaaS Provider's Profit in a Federated Cloud Environment, Proceedings of the 13rd International Conference on High Performance and Communications (HPCC 2011), Banff, Canada, September 2-4, 2011.
• Anton Beloglazov, and Rajkumar Buyya, Energy Efficient Allocation of Virtual Machines in Cloud Data Centers. Proceedings of the 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2010), Melbourne, Australia, May 17-20, 2010.
• Rodrigo N. Calheiros, Rajkumar Buyya, Cesar A. F. De Rose, Building an automated and self-configurable emulation testbed for grid applications. International Journal of Software: Practice and Experience, Volume 40, Issue 5, Pages: 405-429, Wiley Press, USA, April 2010.
• Kyong Hoon Kim, Anton Beloglazov, and Rajkumar Buyya, Power-aware Provisioning of Cloud Resources for Real-time Services. Proceedings of the 7th International Workshop on Middleware for Grids, Clouds and e-Science, Urbana Champaign, Illinois, USA: ACM, 2009.
• Rodrigo N. Calheiros, Rajkumar Buyya, Cesar A. F. De Rose, A Heuristic for Mapping Virtual Machines and Links in Emulation Testbeds, Proceedings of the 38th International Conference on Parallel Processing (ICPP 2009), Vienna, Austria, September 22-25, 2009.