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In Hadoop MapReduce, reduce tasks issue massive remote I/O operations to copy the intermediate results of map tasks. The operations cause massive remote data access delays which degrade the system performance. To Handle this problem, we propose an execution engine of reduce tasks. The engine partitions the execution of reduce tasks into two phases. In the first phase, the engine selects the nodes...
Chip multiprocessors (CMPs) are expected to dominate the landscape of computer architecture in the near future. The potential performance gains that can be achieved by the use of CMPs depend, to a large extent, on how much parallelism can be extracted from applications. One effective way of utilizing CMP architectures is to execute multiple (potentially multi-threaded) applications at the same time...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.