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Extending a map-reduce framework to improve efficiency of multi-cycle map-reduce jobs

机译:扩展map-reduce框架以提高多周期map-reduce作业的效率

摘要

Methods and arrangements for managing map-reduce jobs. There are identified intermediate data produced, in a current map-reduce cycle, by a plurality of nodes in the distributed network, the nodes being selected from the group consisting of: a plurality of map nodes, and a plurality of reducer nodes. There are identified a plurality of classes of data, for classifying the intermediate data. Discrete portions of the intermediate data are classified into respective ones of the classes of data, wherein at least one of the classes of data comprises intermediate data which are processed in a map-reduce cycle subsequent to the current map-reduce cycle. Other variants and embodiments are broadly contemplated herein.
机译:管理地图缩减作业的方法和安排。识别出在当前的映射-减少循环中由分布式网络中的多个节点产生的中间数据,这些节点选自:多个映射节点和多个归约节点。识别出多种数据类别,用于分类中间数据。中间数据的离散部分被分类为数据类别中的相应数据类别,其中,数据类别中的至少一个包括中间数据,该中间数据在当前映射减少循环之后的映射减少循环中被处理。本文广泛地预期其他变体和实施例。

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