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Optimal Resource Usage in Multi-Cloud Computing Environment

Optimal Resource Usage in Multi-Cloud Computing Environment

Veena Goswami, Choudhury Nishkanta Sahoo
Copyright: © 2013 |Volume: 3 |Issue: 1 |Pages: 14
ISSN: 2156-1834|EISSN: 2156-1826|EISBN13: 9781466630758|DOI: 10.4018/ijcac.2013010105
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MLA

Goswami, Veena, and Choudhury Nishkanta Sahoo. "Optimal Resource Usage in Multi-Cloud Computing Environment." IJCAC vol.3, no.1 2013: pp.44-57. http://doi.org/10.4018/ijcac.2013010105

APA

Goswami, V. & Sahoo, C. N. (2013). Optimal Resource Usage in Multi-Cloud Computing Environment. International Journal of Cloud Applications and Computing (IJCAC), 3(1), 44-57. http://doi.org/10.4018/ijcac.2013010105

Chicago

Goswami, Veena, and Choudhury Nishkanta Sahoo. "Optimal Resource Usage in Multi-Cloud Computing Environment," International Journal of Cloud Applications and Computing (IJCAC) 3, no.1: 44-57. http://doi.org/10.4018/ijcac.2013010105

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Abstract

Cloud computing has emerged as a new paradigm for accessing distributed computing resources such as infrastructure, hardware platform, and software applications on-demand over the internet as services. This paper presents an optimal resource management framework for multi-cloud computing environment. The authors model the behavior and performance of applications to integrate different service-providers for end-to-end-requirements. Each service model caters to specific type of requirements and there are already number of players with own customized products/services offered. Intercloud Federation and Service delegation models are part of Multi-Cloud environment where the broader target is to achieve infinite pool of resources. They propose an analytical queueing network model to improve the efficiency of the system. Numerical results indicate that the proposed provisioning technique detects changes in arrival pattern, resource demands that occur over time and allocates multiple virtualized IT resources accordingly to achieve application Quality of Service targets.

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