• Girish U Pimpale

Cloud Computing has Large Scale Distributed Infrastructure which provide the services like infrastructure and software and platform. Cloud computing provides on demand service in which the user has to pay for the services he uses. Focusing at the current problems that most physical hosts in the cloud data centre are so overloaded that it makes the whole cloud data centre load imbalanced and that existing load balancing approaches have relatively high complexity, the proposed system focuses on the selection problem of physical hosts for deploying requested tasks. The concept of achieving the overall load balancing in a long-term process in contrast to the immediate load balancing approaches CB-TD makes a limited constraint about all physical hosts aiming to achieve a task deployment approach with global search capability in terms of the performance function of computing resource. The Bayes theorem is use here with the clustering process to find out the optimal clustering set of physical hosts.

Task Deployment, Load Balancing, Bayes Theorem, Clustering, Cloud Computing

"Clustring Based Task Depolyment Approach For Load Balancing Using Bays Theorem In Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.338-343, January-2018, Available :http://www.jetir.org/papers/JETIR1801067.pdf

"Clustring Based Task Depolyment Approach For Load Balancing Using Bays Theorem In Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp338-343, January-2018, Available at : http://www.jetir.org/papers/JETIR1801067.pdf