Cloud Computing is the future of computing and in recent years several advancements in IT infrastructure and application development is promoting this cloud based computing. But along with this the world of computing is now getting much more complex as compared to the past. For developers of applications it is a tough job to evaluate the performance of their application for different load configurations and settings. And because the cloud services are maintained by the cloud providers, so the testing conditions are not much flexible for developers. To overcome such challenges, Professor Dr.
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Basic Examples CloudSimExample1 — A simple example showing how to create a datacenter with one host and run one cloudlet on it. CloudSimExample2 — A simple example showing how to create two datacenters with one host and a network topology each and run two cloudlets on them. CloudSimExample3 — A simple example showing how to create two datacenters with one host each and run cloudlets of two users with network topology on them.
CloudSimExample4 — A simple example showing how to create two datacenters with one host each and run two cloudlets on them. CloudSimExample5 — A simple example showing how to create two datacenters with one host each and run cloudlets of two users on them. CloudSimExample6 — An example showing how to create scalable simulations. CloudSimExample7 — An example showing how to pause and resume the simulation, and create simulation entities a DatacenterBroker in this example dynamically.
CloudSimExample8 — An example showing how to create simulation entities a DatacenterBroker in this example in run-time using a globar manager entity GlobalBroker.
Network Examples NetworkExample1 — A simple example showing how to create a datacenter with one host and a network topology and and run one cloudlet on it. NetworkExample2 — A simple example showing how to create two datacenters with one host and a network topology each and run two cloudlets on them.
NetworkExample3 — A simple example showing how to create two datacenters with one host each and run cloudlets of two users with network topology on them. NetworkExample4 — A simple example showing how to create a datacenter with one host and a network topology and and run one cloudlet on it.
Here, instead of using a BRIE file describing the links, links are inserted in the code. Power Examples NonPowerAware — A simulation of a heterogeneous non-power aware data center: all hosts consume maximum power all the time.
Dvfs — A simulation of a heterogeneous power aware data center that only applied DVFS, but no dynamic optimization of the VM allocation. The adjustment of the hosts' power consumption according to their CPU utilization is happening in the PowerDatacenter class.
CloudSim Simulation Toolkit: An Introduction
CloudSim  is a framework for modeling and simulation of cloud computing infrastructures and services. CloudSim is completely written in Java. Initially developed as a stand-alone cloud simulator, CloudSim has further been extended by independent researchers. There are multiple tutorials and blog posts available on CloudSim. In addition, there is an online course introducing CloudSim Simulation Framework  covering the installation, architecture and execution description, and sample simulations. Few quick references to the quick tutorials are as flows:. A self-paced online on demand course title " Learn Basics of Cloudsim " is available on Udemy platform.
CloudSim Simulation Framework
CloudSim: A Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
Recently, cloud computing emerged as the leading technology for delivering reliable, secure, fault-tolerant, sustainable, and scalable computational services, which are presented as Software, Infrastructure, or Platform as services SaaS, IaaS, PaaS. Moreover, these services may be offered in private data centers private clouds , may be commercially offered for clients public clouds , or yet it is possible that both public and private clouds are combined in hybrid clouds. These already wide ecosystem of cloud architectures, along with the increasing demand for energy-efficient IT technologies, demand timely, repeatable, and controllable methodologies for evaluation of algorithms, 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, alternative approaches for testing and experimentation leverage development of new Cloud technologies. A suitable alternative is the utilization of simulations tools, which open the possibility of evaluating the hypothesis prior to software development in an environment where one can reproduce tests. Specifically in the case of Cloud computing, where access to the infrastructure incurs payments in real currency, simulation-based approaches offer significant benefits, as it allows Cloud customers to test their services in repeatable and controllable environment free of cost, and to tune the performance bottlenecks before deploying on real Clouds. At the provider side, simulation environments allow evaluation of different kinds of resource leasing scenarios under varying load and pricing distributions.