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InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services
Open accessAbstract
Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world However, existing systems do not support mechanisms and policies for dynamically coordinating load distribution among different Cloud-based data centers in order to determine optimal location for hosting application services to achieve reasonable QoS levels Further, the Cloud computing providers are unable to predict geographic distribution of users consuming their services, hence the load coordination must happen automatically, and distribution of services must change in response to changes in the load To counter this problem, we advocate creation of federated Cloud computing environment (InterCloud) that facilitates just-in-time, opportunistic, and scalable provisioning of application services, consistently achieving QoS targets under variable workload, resource and network conditions The overall goal is to create a computing environment that supports dynamic expansion or contraction of capabilities (VMs, services, storage, and database) for handling sudden variations in service demands. This paper presents vision, challenges, and architectural elements of InterCloud for utility-oriented federation of Cloud computing environments The proposed InterCloud environment supports scaling of applications across multiple vendor clouds We have validated our approach by conducting a set of rigorous performance evaluation study using the CloudSim toolkit The results demonstrate that federated Cloud computing model has immense potential as it offers significant performance gains as regards to response time and cost saving under dynamic workload scenarios.
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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-citationDistributed and cloud computing: from parallel processing to the Internet of things
(2012) · Choice Reviews Online · doi:10.5860/choice.49-5712 · Cited by 314
Lins, S., Schneider, S., Szefer, J., Ibraheem, S., & Ali, A. (2019) · Communications of the Association for Information Systems · doi:10.17705/1cais.04425 · Cited by 26
Metadata
- Authors
- Buyya, R., Ranjan, R., & Calheiros, R. N.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2010
- Pages
- 13-31
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2136674746
- Cited by
- 1,023
- References
- 0
- FWCI
- 62.29
- Type
- conference paper
- Language
- en
- Open access
- green
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- Buyya, R., Ranjan, R., & Calheiros, R. N. (2010). InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-13119-6_2
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.