A resource allocation based multi - Cloud providers for VoD applications
Video streaming application has become one of the most familiar applications in the internet. Cloud computing offers an elastic infrastructure that Cloud Management Agents can use to obtain streaming resources that match the demand. Multi cloud providers support different platforms and offer constan...
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Published in | 2014 Sixth International Conference on Advanced Computing (ICoAC) pp. 312 - 318 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
28.08.2015
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Subjects | |
Online Access | Get full text |
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Summary: | Video streaming application has become one of the most familiar applications in the internet. Cloud computing offers an elastic infrastructure that Cloud Management Agents can use to obtain streaming resources that match the demand. Multi cloud providers support different platforms and offer constantly changing packages of capabilities. A problem is to decide on both the correct quantity of resources reserved in the cloud & their reservation time such that the quality of service on the Cloud Management Agent is not get affected. We suggest a method to implement MBRA algorithm for resource reservation that maximally exploits discounted rates offered in tariffs, while ensuring that sufficient resources are reserved in the cloud. MBRA algorithm is designed to reduce the risk of making wrong resource allocation decisions and its depends on the prediction of demand for streaming capacity. A managed cloud provider that supports financial controls across multiple cloud providers can help to maintain quality of service and service level agreement. |
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ISSN: | 2377-6927 |
DOI: | 10.1109/ICoAC.2014.7229732 |