On the path to sustainable, scalable, and energy-efficient data analytics: Challenges, promises, and future directions

Sriram Lakshminarasimhan, Prabhat Kumar, Wei Keng Liao, Alok Choudhary, Vipin Kumar, Nagiza F. Samatova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

As scientific data is reaching exascale, scalable and energy efficient data analytics is quickly becoming a top notch priority. Yet, a sustainable solution to this problem is hampered by a number of technical challenges that get exacerbated with the emerging hardware and software technology trends. In this paper, we present a number of recently created "secret sauces" that promise to address some of these challenges. We discuss transformative approaches to efficient data reduction, analytics-driven query processing, scalable analytical kernels, approximate analytics, among others. We propose a number of future directions that could be pursued on the path to sustainable data analytics at scale.

Original languageEnglish (US)
Title of host publication2012 International Green Computing Conference, IGCC 2012
DOIs
StatePublished - 2012
Event2012 International Green Computing Conference, IGCC 2012 - San Jose, CA, United States
Duration: Jun 4 2012Jun 8 2012

Publication series

Name2012 International Green Computing Conference, IGCC 2012

Other

Other2012 International Green Computing Conference, IGCC 2012
CountryUnited States
CitySan Jose, CA
Period6/4/126/8/12

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