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Dynamic load balancing in very large shared-nothing hypercube database computers

机译:无共享的超大型超立方体数据库计算机中的动态负载平衡

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Two relational join strategies, broadcast-based join and bucket-based join, have been recently proposed for the hypercube interconnection topology. The first strategy, however, incurs many unnecessary comparisons of pairs of tuples of the two relations. Although the second technique compares only tuples of the relevant buckets, it may suffer from potential load imbalance, which is most critical to the performance of a shared-nothing system. To address these issues, a join algorithm for hypercube computers which includes dynamic load balancing capabilities to minimize the effect of skewness in tuple distribution is proposed. Simulation results indicate that the scheme provides significant improvement over the bucket-based join strategy. In fact, the technique is consistently superior even when the skew condition is very mild.
机译:最近,针对超立方体互连拓扑提出了两种关系连接策略,即基于广播的连接和基于桶的连接。但是,第一种策略会导致对两个关系的元组对进行许多不必要的比较。尽管第二种技术仅比较相关存储桶的元组,但它可能会遭受潜在的负载不平衡,这对于无共享系统的性能最为关键。为了解决这些问题,提出了一种用于超立方体计算机的联接算法,该算法包括动态负载平衡功能,以最大程度地减少元组分配中的偏度影响。仿真结果表明,该方案与基于存储桶的联接策略相比有显着改进。实际上,即使偏斜条件非常温和,该技术也始终具有优越性。

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