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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 1, January 2015

A Survey on Hierarchical Merge for Hadoop-A

Vaibhav Dhore ^[2] | Sonali R. Jagtap

Abstract: Hadoop is a popular open source implementation of the Map Reduce programming model for cloud computing. However, it faces a number of issues to achieve the best performance from the underlying systems. These include a serialization barrier that delays the reduce phase, repetitive merges, and disk accesses, and the lack of portability to different interconnects. We describe Hadoop-A, an acceleration framework that optimizes Hadoop with plug-in components for fast data movement, overcoming the existing limitations. A Hierarchical merge algorithm is introduced to merge data without repetition and disk access. In addition, we are using virtual shuffling to reduce disk access.

Keywords: Hadoop, MapReduce, virtual shuffling, hierarchical merge, Hadoop acceleration

Edition: Volume 4 Issue 1, January 2015,

Pages: 591 - 593

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