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Scalable distributed in-memory computation utilizing batch mode extensions

机译:利用批处理模式扩展的可扩展分布式内存计算

摘要

An apparatus in one embodiment comprises at least one processing device having a processor coupled to a memory. The processing device is configured to distribute in-memory computations across a plurality of data processing clusters associated with respective data zones, and to combine local processing results of the distributed in-memory computations from the data processing clusters. The distributed in-memory computations utilize local data structures of respective ones of the data processing clusters. A given one of the local data structures in one of the data processing clusters receives local data of the corresponding data zone and is utilized to generate the local processing results of that data processing cluster that are combined with local processing results of other ones of the data processing clusters. The local data structures are configured to support batch mode extensions such as Spark SQL, Spark MLlib or Spark GraphX for performance of the distributed in-memory computations.
机译:一个实施例中的设备包括至少一个处理设备,该处理设备具有耦合到存储器的处理器。处理设备被配置为在与各个数据区相关联的多个数据处理集群上分布内存计算,并且组合来自数据处理集群的分布式内存计算的本地处理结果。分布式内存计算利用数据处理集群中各个集群的本地数据结构。数据处理集群之一中的给定本地数据结构之一接收相应数据区的本地数据,并用于生成该数据处理集群的本地处理结果,并与其他数据的本地处理结果组合处理集群。本地数据结构配置为支持批处理模式扩展,例如Spark SQL,Spark MLlib或Spark GraphX,以实现分布式内存中计算。

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