A Framework for Web Based Medical Image Archiving System Using Data Centers

摘要

Cloud computing offers workable solution for the long-term medical image archiving system. A major challenge in current research involves efficient partitioning of resources available at hand. In the current paper, allocation algorithms for efficiently managing energy resources within cloud computing settings are discussed. The suggested energy-aware allocation method partition data centre's resources amongst client applications in a manner which enhances power efficacy of the data centre, and at the same time providing the required Quality of Service (QoS) to all clients. Heuristic algorithms are utilized for the optimization of the provisioning of resources so that energy efficacy of data centers are enhanced. In this paper, energy-aware resource allocation method is executed in clouds through Artificial Bee Colony (ABC) model and with Best Fit Decreasing (BFD) method. The ABC has the advantages of few parameters, and fast convergence speed. The suggested tools are verified through studies utilizing CloudSim toolkits.