| Autor: |
Gadhavi, Lata J., Bhavsar, Madhuri D. |
| Předmět: |
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| Zdroj: |
International Review on Computers & Software; Aug2016, Vol. 11 Issue 8, p691-700, 10p |
| Abstrakt: |
Cloud computing provides on-demand virtualized resources to its hosted applications and services. However, if the hosted applications are intended to majorly analyze the data, they are complex to handle because of uncertainty in the demand of resources and large volume of data. The life cycle of compute/scientific job requires some data processing analysis and computation in order to obtain the needed results. It entails appropriate controls of the service instance to generate informative (semantic) and useful data to be processed in a pool of distributed resources. To execute the service instance of the trained data, an adaptive cloud, able to manage the diverse computing resources using dynamic resource provisioning strategy, is needed. This paper proposes a framework for the processing of data on cloud using efficient resource to manage the demanded resources. The model of the proposed architecture for the adaptive cloud, detailed system architecture and the data processing mechanism are presented in this paper. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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