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High-performance parallel storage systems, such as those used by supercomputers and data centers, can suffer from performance degradation when a large number of clients are contending for limited resources, like bandwidth. These contentions lower the efficiency of the system and cause unwanted speed variances. We present the Automatic Storage Contention Alleviation and Reduction system (ASCAR), a...
MapReduce plays an critical role in finding insights in Big Data. The performance optimization of MapReduce programs is challenging because it requires a comprehensive understanding of the whole system including both hardware layers (processors, storages, networks and etc), and software stacks (operating systems, JVM, runtime, applications and etc). However, most of the existing performance tuning...
In view of the shortcomings of traditional multi-objective optimal methods, this paper introduces iSIGHT which is a kind of optimal design software. Based on optimal design framework Isight, the multi-objective optimal design method and step using the Neighborhood Cultivation Genetic Algorithm (NCGA) are investigated. Taking a multi-objective optimal design of spring as the example, the Pareto optimal...
According to the need of industrial and agricultural production and living, we introduce “scatter sequence” of a regular triangle and build an optimization design model to maximize the minimum scatter numbers. Based on LINGO software, we obtain the solution of the minimum scatter numbers and their coordinates in some “scatter sequences” of the regular triangles with different numbers of points and...
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