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With cloud computing, the efficient management of resources is of great importance as an increased utilization of the available resources can result in higher scalability and significant energy and cost reductions. Experimental validation of novel resource management strategies is costly and time consuming, and often requires in-depth knowledge of and control over the underlying cloud platform. As...
Taking into account inter-task dependency in reconfigurable computing systems, a step closer to reality, can interfere with placement algorithm and it highly affects on hardware resource utilization. In this paper a tree based placement algorithm is proposed that its specifications are efficiency and low execution time. The main feature of this placement algorithm is that it is easy and simple to...
In attempts to exploit a diverse set of resources in grids efficiently, numerous assays in resource management, particularly scheduling, have been made. The primary objective of these efforts is the minimization of application completion time; however, they tend to achieve this objective at the expense of redundant resource usage. This paper investigates the problem of scheduling workflow applications...
Simulation is an important method in the research and development of storage and network system. A good simulator can save memory and times. There are many simulators developed, but most of those simulator aimed at performance and data schedule algorithm. None of those simulators can model manipuility and dependability in large scale storage network. In this paper, we present the facilities and design...
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