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Cloud computing is the latest need of the hour network which is convenient. It is an on-demand network accessed over a shared group of computing resources. Only minimal management effort is needed to be released with no communication with a service-provider. Optimization problem such as Invasive Weed Optimization is used in cloud computing but the challenges in this technique is its premature convergence...
Task scheduling and resource allocation are two of the most important issues in grid computing. In a grid computing system, the workflow management system receives inter-dependent tasks from users and allocates each task to an appropriate resource. The assignment is based on user constraints such as budget and deadline. Thus, the workflow management system has a significant effect on system performance...
A delivery route optimization system greatly improves the real time delivery efficiency. To realize such an optimization, its distribution network requires solving several tens to hundreds (max. 1500-2000) cities Traveling Salesman Problems (TSP) within interactive response time (around 3 seconds) with expert-level accuracy (below 3% level of error rate). To meet these requirements, a Backtrack and...
Memory Wall is a bottleneck of enhancing the performance of computer system, and appearance of multiprocessors (CMPs) makes it more. How to reduce Memory Access Latency is a critical issue we have to deal with. Memory controller is difficult to optimize, the controller needs to obey all DRAM timing constraints to provide correct functionality. State-of -the-art DDR2 SDRAM chips often have a large...
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