A Survey on Hierarchical Merge for Hadoop-A
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
How to Cite?: Vaibhav Dhore, Sonali R. Jagtap, "A Survey on Hierarchical Merge for Hadoop-A", Volume 4 Issue 1, January 2015, International Journal of Science and Research (IJSR), Pages: 591-593, https://www.ijsr.net/getabstract.php?paperid=SUB15240, DOI: https://dx.doi.org/10.21275/SUB15240