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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