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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:0907.4878 (cs)
[Submitted on 28 Jul 2009]

Title:Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities

Authors:Rajkumar Buyya, Rajiv Ranjan, Rodrigo N. Calheiros
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Abstract: Cloud computing aims to power the next generation data centers and enables application service providers to lease data center capabilities for deploying applications depending on user QoS (Quality of Service) requirements. Cloud applications have different composition, configuration, and deployment requirements. Quantifying the performance of resource allocation policies and application scheduling algorithms at finer details in Cloud computing environments for different application and service models under varying load, energy performance (power consumption, heat dissipation), and system size is a challenging problem to tackle. To simplify this process, in this paper we propose CloudSim: an extensible simulation toolkit that enables modelling and simulation of Cloud computing environments. The CloudSim toolkit supports modelling and creation of one or more virtual machines (VMs) on a simulated node of a Data Center, jobs, and their mapping to suitable VMs. It also allows simulation of multiple Data Centers to enable a study on federation and associated policies for migration of VMs for reliability and automatic scaling of applications.
Comments: 11 pages, 11 figures
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Networking and Internet Architecture (cs.NI)
ACM classes: C.2.4
Cite as: arXiv:0907.4878 [cs.DC]
  (or arXiv:0907.4878v1 [cs.DC] for this version)
  https://doi.org/10.48550/arXiv.0907.4878
Journal reference: Proceedings of the 7th High Performance Computing and Simulation (HPCS 2009) Conference, Leipzig, Germany, June 21 - 24, 2009

Submission history

From: Rajkumar Buyya [view email]
[v1] Tue, 28 Jul 2009 10:11:58 UTC (1,482 KB)
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