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Optimization of Multi-way Join Cost Using System R* and SharesSkew

机译:使用系统R *和SharesSkew优化多方加入成本

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摘要

In a distributed environment relations are stored at different sites. To perform algebraic operations such as join, the relations are to be transferred from one site to the other in such a way that the total communication cost is minimized. This paper deals with the problem of computing the transmission cost using two approaches. The first uses System R* algorithm approach when the data is of non-skew nature and the second uses SharesSkew algorithm when the data has skews i.e., same value for a specific join attribute, named as Heavy Hitter (HH). Rules of the two algorithms to be followed for performing join are specified and by illustrating with Banking System, the communication cost is evaluated.
机译:在分布式环境中,关系存储在不同的位置。为了执行诸如连接之类的代数运算,应以使总通信成本最小化的方式将关系从一个站点转移到另一个站点。本文讨论了使用两种方法来计算传输成本的问题。当数据具有非偏斜性时,第一种方法使用System R *算法;而当数据具有偏斜率(即,特定联接属性的值相同,称为重击者(HH))时,第二种方法使用SharesSkew算法。指定了执行连接所要遵循的两种算法的规则,并通过在Banking System中进行说明来评估通信成本。

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