@sbcecarni.com
Professor/ Mechanical Engineering
Sri Balaji Chockalingam Engineering College
Industrial and Manufacturing Engineering
Scopus Publications
M Gnanasekaran, P Ramasamy, P Booneshwaran, N Lokeshwaran, and T Suresh
American Scientific Publishers
T Karthikeyan, A Vinothkumar, and P Ramasamy
American Scientific Publishers
Cloud computing is an internet-based computing where resources, software and information are provided to computers on-demand, like a public utility. It is emerging as a platform for sharing resources like infrastructure, software and various applications. The majority of cloud computing infrastructure consists of reliable services delivered through data centers. Modern data centers, operating under the cloud computing model are hosting a variety of applications ranging from those that run for a few seconds to those that run for longer periods of time. When a job is submitted to the clouds, it is partitioned into several tasks. Scheduling a set of tasks in is one of the traditional challenges in parallel and distributed computing. It is very important to decide the order in which these tasks should be executed in order to increase the overall efficiency. Task scheduling is a key process for assigning the requests to resources in an efficient way considering cloud characteristics. Proper scheduling can have significant impact on the performance of the system. In this thesis work a task level scheduling approach has been proposed which prioritize the tasks to reduce the execution time, waiting time and response time. The simulator CloudSim has been used to validate the Proposed algorithm.
C Sivalingam, S Gokulabalan, C Arumugam, T Suresh, and P Ramasamy
American Scientific Publishers
P Ramasamy, T Karthikeyan, V Thirunavukkarusu, C Sivalingam, and C Arumugam
American Scientific Publishers
P. Ramasamy and S. Sampathkumar
Elsevier BV
P Ramasamy, S Sampathkumar, and G Vignesh
British Institute of Non-Destructive Testing (BINDT)