sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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A Coding Based Optimization for Hadoop

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Zakia Asad, Mohammad Asad Rehman Chaudhry, David Malone

ROOM:Level 4 - Lobby


The rise of cloud and distributed data-intensive ("Big Data") applications puts pressure on data center networks due to the movement of massive volumes of data. Reducing volume of communication is pivotal for embracing greener data exchange by efficiently utilizing network resources. This work proposes the use of coding techniques working in tandem with software-defined network control as a means of dynamically-controlled reduction in volume of communication. We introduce motivating real-world use-cases, and present a novel spate coding algorithm for the data center networks. Moreover, we bridge the gap between theory and practice by performing a proof-of-concept implementation of the proposed system in a real world data center. We use Hadoop as our target framework. The experimental results show advantage of proposed system compared to “vanilla Hadoop implementation”, “in-network combiner”, and “Combine-N-Code” in terms of volume of communication, goodput, and number of bits that can be transmitted per Joule of energy.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Zakia Asad - University of Toronto

Mohammad Asad Rehman Chaudhry - soptimizer

David Malone - The Hamilton Institute

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