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Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities
Open accessAbstract
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.
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Cited by
Calheiros, R. N., Ranjan, R., Beloglazov, A., De Rose, C. A. F., & Buyya, R. (2011) · Software: Practice and Experience · doi:10.1002/spe.995 · Cited by 4,948
Self-citationEnergy Efficient Resource Management in Virtualized Cloud Data Centers
Beloglazov, A., & Buyya, R. (2010) · 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing · doi:10.1109/ccgrid.2010.46 · Cited by 760
Self-citationGreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers
Kliazovich, D., Bouvry, P., Audzevich, Y., & Khan, S. U. (2010) · 2010 IEEE Global Telecommunications Conference GLOBECOM 2010 · doi:10.1109/glocom.2010.5683561 · Cited by 299
Energy-aware Virtual Machine Migration for Cloud Computing - A Firefly Optimization Approach
Kansal, N. J., & Chana, I. (2016) · Journal of Grid Computing · doi:10.1007/s10723-016-9364-0 · Cited by 151
Network-Aware Virtual Machine Placement and Migration in Cloud Data Centers
Ferdaus, M. H., Murshed, M., Calheiros, R. N., & Buyya, R. (2015) · Advances in Systems Analysis, Software Engineering, and High Performance Computing · doi:10.4018/978-1-4666-8213-9.ch002 · Cited by 38
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Metadata
- Authors
- Buyya, R., Ranjan, R., & Calheiros, R. N.
- Venue
- 2009 International Conference on High Performance Computing & Simulation
- Publisher
- IEEE
- Published
- 2009-06
- Pages
- 1-11
- OpenAlex
- W1541079541
- Cited by
- 1,099
- References
- 0
- FWCI
- 49.81
- Type
- conference paper
- Language
- en
- Open access
- green
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- Buyya, R., Ranjan, R., & Calheiros, R. N. (2009). Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities. 2009 International Conference on High Performance Computing & Simulation. https://doi.org/10.1109/hpcsim.2009.5192685
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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