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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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Abstract

A BENCHMARK STUDY FOR MCMC AND OPTIMISATION (MCBO) MODEL ON CLOUD APPLICATIONS

*Aws Ismail Abu Eid and Mohammad Ibraigheeth

ABSTRACT

The Markov Chain Monte Carlo and Optimization MCBO model is a strategy designed to reduce the Time taken for high data availability to access replicas in the cloud environment. This study provides a new model MCBO as a new approach to defining an optimal path for solving one of the most common replication-related problems in the cloud: time-consumption in the cloud environment. Besides, MCBO output is further aided by the process of providing optimal results. This work developed a dynamic replication strategy capable of improving efficiency by reducing time in cloud replicas' distributed environment. The Markov Chain Monte Carlo and Optimization MCBO model is a strategy designed to reduce the Time taken for high data availability to access replicas in the cloud environment. In general, replicas' development is activated in two situations: a certain number of replicas is not achieved, or a goal of unsatisfactory response time is not achieved.

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