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Optimized Resource Management Decision System ( ORM-DS ) for Distributed Infrastructure Management in Cloud Computing

Cloud computing is a business solution based environments which supports scalable computing on demand for the end user. Here the users demanded resources can be provided with the help of cloud models. Mainly the models deal with infrastructure, platform and software with distributed and parallel processing plays the multiplexer role. The system primarily uses virtualization technology to cope with the computing needs. By using virtualization dynamic resource requirements can be handled with service optimizations. Sometimes this dynamic resource handling suffers from the performance and utilization issues due to their heterogeneous environments and availability. For effectively allotting the resources to different process, they must be analysed previously for detecting their occupancy and residual means. Servers are continuously monitored for detection of overutilization and underutilization for understanding the loads of the system. Over the last few decades the grid has evolve form Globus based system to Nephele architecture for processing the parallel and distributed jobs. This work suggests the improved scheduling and job execution environments for traditional resource handling approach using ORM-DS (optimized Resource Management Decision System). It also manages and monitors the dynamic allocation and deallocation. The proposed approach is having 7 step process model starts with client request and ends with the gird based resources to the applications as per the requirements. It is based on hierarchical structure of their utilizations with a heuristics support for decision making. In future the trace driven simulations and experimental results demonstrates the good performance.