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Ranking Model for SLA Resource Provisioning Management

Ranking Model for SLA Resource Provisioning Management

C. S. Rajarajeswari, M. Aramudhan
Copyright: © 2014 |Volume: 4 |Issue: 3 |Pages: 13
ISSN: 2156-1834|EISSN: 2156-1826|EISBN13: 9781466653030|DOI: 10.4018/ijcac.2014070105
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MLA

Rajarajeswari, C. S., and M. Aramudhan. "Ranking Model for SLA Resource Provisioning Management." IJCAC vol.4, no.3 2014: pp.68-80. http://doi.org/10.4018/ijcac.2014070105

APA

Rajarajeswari, C. S. & Aramudhan, M. (2014). Ranking Model for SLA Resource Provisioning Management. International Journal of Cloud Applications and Computing (IJCAC), 4(3), 68-80. http://doi.org/10.4018/ijcac.2014070105

Chicago

Rajarajeswari, C. S., and M. Aramudhan. "Ranking Model for SLA Resource Provisioning Management," International Journal of Cloud Applications and Computing (IJCAC) 4, no.3: 68-80. http://doi.org/10.4018/ijcac.2014070105

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Abstract

Cloud computing is an amazing technology, which provides services to users on-demand. Since there are many providers in the cloud, users get confused in selecting the optimal cloud service provider. To overcome this limitation, federated cloud management architecture was proposed. There is no standard framework for ranking the cloud service providers in the existing federated cloud model. The proposed work provides a new federated cloud mechanism, in which Cloud Broker Manager (CBM) takes up the responsibility of resource provisioning and ranking. Differentiated Service Module (DSM) is projected in CBM that classifies the incoming users as SLA or non-SLA members. Dynamic Loose Priority Scheduling (DLPS) is proposed in CBM to manage the number of services. To reduce the overload of the CBM, a secondary CBM (sCBM) is proposed. Experimental results show that the proposed DLPS technique improves the resource provisioning and Quality of Service (QoS) to SLA members and improves the performance of federated cloud by 18% than the existing model.

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