Asad, Zakia and Asad Rehman Chaudhry, Mohammad and Malone, David (2015) CodHoop: A system for optimizing big data processing. In: 2015 Annual IEEE Systems Conference (SysCon) Proceedings, 13-16 April 2015, Vancouver, BC.

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Abstract

The rise of the cloud and distributed data-intensive (“Big Data”) applications puts pressure on data center networks due to the movement of massive volumes of data. This paper proposes CodHoop a system employing network coding techniques, specifically index coding, as a means of dynamically-controlled reduction in volume of communication. Using Hadoop as a representative of this class of applications, a motivating use-case is presented. The proof-of-concept implementation results exhibit an average advantage of 31% compared to vanilla Hadoop implementation which depending on use-case translates to 31% less energy utilization of the equipment, 31% more jobs that run simultaneously, or to a 31% decrease in job completion time.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	CodHoop; Big Data processing; cloud applications; distributed data-intensive applications; data center networks; Hadoop; proof-of-concept implementation;
Academic Unit:	Faculty of Science and Engineering > Mathematics and Statistics Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	10066
Depositing User:	Dr. David Malone
Date Deposited:	05 Oct 2018 13:34
Refereed:	Yes
Funders:	Science Foundation Ireland (SFI)
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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