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CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms (2010)
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BibTeX
@MISC{Calheiros10cloudsim:a,
author = {Rodrigo N. Calheiros and Rajiv Ranjan and Anton Beloglazov and César A. F. De Rose and Rajkumar Buyya},
title = {CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms },
year = {2010}
}
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Abstract
Cloud computing is a recent advancement wherein IT infrastructure and applications are provided as “services ” to endusers under a usage-based payment model. They can leverage virtualized services even on the fly based on requirements (workload patterns and QoS) varying with time. The application services hosted under Cloud computing model have complex provisioning, composition, configuration, and deployment requirements. Evaluating the performance of Cloud provisioning policies, application workload models, and resources performance models in a repeatable manner under varying system and user configurations and requirements is difficult to achieve. To overcome this challenge, we propose CloudSim: an extensible simulation toolkit that enables modeling and simulation of Cloud computing systems and application provisioning environments. The CloudSim toolkit supports both system and behaviour modeling of Cloud system components such as data centers, virtual machines (VMs) and resource provisioning policies. It implements generic application provisioning techniques that can be extended with ease and limited efforts. Currently, it supports modeling and simulation of Cloud computing environments consisting of both single and inter-networked clouds (federation of clouds). Moreover, it exposes custom interfaces for implementing policies and provisioning techniques for allocation of VMs under inter-networked Cloud computing scenarios. Several researchers from organisations such as HP Labs in USA are using CloudSim in their investigation on Cloud resource provisioning and energy-efficient management of data center resources.
Keyphrases
inter-networked cloud generic application usage-based payment model several researcher deployment requirement application workload model repeatable manner behaviour modeling application provisioning environment application service user configuration hp lab custom interface workload pattern cloud computing data center data center resource resource performance model cloudsim toolkit virtual machine cloud system component energy-efficient management cloud resource provisioning limited effort virtualized service complex provisioning recent advancement extensible simulation toolkit
