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1. Overview

CloudSim Plus is a modern, up-to-date, full-featured and fully documented Java 25 simulation framework. It's easy to use and extend, enabling modeling, simulation, and experimentation of Cloud computing infrastructures and application services. It allows developers to focus on specific system design issues to be investigated, without concerning the low-level details related to Cloud-based infrastructures and services.

CloudSim Plus is a fork of CloudSim 3, re-engineered primarily to avoid code duplication, provide code reuse and ensure compliance with software engineering principles and recommendations for extensibility improvements and accuracy. It's currently the state-of-the-art in cloud computing simulation framework.

The efforts dedicated to this project have been recognized by the EU/Brasil Cloud FORUM. A post about CloudSim Plus is available at this page of the Forum, including a White Paper available in the Publications Section.

CloudSim Plus started through a partnership between the Instituto de Telecomunicações (IT, Portugal), the Universidade da Beira Interior (UBI, Portugal) and the Instituto Federal de Educação Ciência e Tecnologia do Tocantins (IFTO, Brazil). It was partially supported by the Portuguese Fundação para a Ciência e a Tecnologia (FCT) and by the Brazilian foundation Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).

Note If you are using CloudSim Plus in your research, please make sure you cite this paper: M. C. Silva Filho, R. L. Oliveira, C. C. Monteiro, P. R. M. Inácio, and M. M. Freire. CloudSim Plus: a Cloud Computing Simulation Framework Pursuing Software Engineering Principles for Improved Modularity, Extensibility and Correctness, in IFIP/IEEE International Symposium on Integrated Network Management, 2017, p. 7.

IMPORTANT

• Developing and maintaining this project takes a huge effort. This way, any kind of contribution is encouraged. Show your support by giving it a star :star: using the button at the top of the GitHub page. It takes no time, helps promoting the project and keeps it evolving. Thanks in advance :clap:.
• If you are not intending to make changes and contribute back to the project, you shouldn't fork it. Your fork become obsolete as the project is updated.
• If you're willing to use the framework to develop your own project on top of it, creating a fork is the worst way. You aren't supposed to change the framework code to implement your project, but to extend it by creating some subclasses. Unless you are planning to contribute your changes back, you'll end up with an incompatible and obsolete version of the framework. The project is constantly evolving and bugfixes are a priority. Your fork with personal changes will miss those updates and high performance improvements.

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2. Main Exclusive Features 🧰

CloudSim Plus provides lots of exclusive features, from the most basic ones to build simple simulations, to advanced features for simulating more realistic cloud scenarios:

1. It is easier to use. A complete and easy-to-understand simulation scenario can be built in few lines of code.
2. Multi-cloud simulations with inter-datacenter VM migrations (#361).
3. Creation of joint power- and network-aware simulations (#45).
4. Vertical (#7) and Horizontal VM scaling (#41).
5. Highly accurate power usage computation (#153).
6. Built-in computation of CPU utilization history and energy consumption for VMs (and Hosts) (#168).
7. Virtual Memory and Reduced bandwidth allocation when RAM and BW are oversubscribed. (#170).
8. Automatically power Hosts on and off according to demand (#128) and support defining a startup and shutdown delay/power consumption (#238).
9. Parallel execution of simulations in multi-core computers, allowing multiple simulations to be run simultaneously in an isolated way (#38).
10. Delay creation of submitted VMs and Cloudlets, enabling simulation of dynamic arrival of tasks (#11, #23).
11. Allow dynamic creation of VMs and Cloudlets in runtime, enabling VMs to be created on-demand (#43).
12. Listeners to enable simulation configuration, monitoring and data collection.
13. Create simulations from Google Cluster Data trace files. (#149).
14. Strongly object-oriented, allowing chained calls such as cloudlet.getVm().getHost().getDatacenter() without even worrying about NullPointerException (#10).
15. Classes and interfaces for implementing heuristics such as Tabu Search, Simulated Annealing, Ant Colony Systems and so on (example here).
16. Implementation of the Completely Fair Scheduler used in recent versions of the Linux Kernel (example here) (#58).
17. Host Fault Injection and Recovery Mechanism to enable injection of random failures into Hosts CPU cores and replication of failed VMs (#81).
18. [Creation of Hosts at Simulation Runtime](https://github.com/cloud