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InfoQ Homepage Presentations Best Trade-off Point Algorithm for Efficient Resource Provisioning in Hadoop

Best Trade-off Point Algorithm for Efficient Resource Provisioning in Hadoop

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Summary

Peter Nghiem presents the Best Trade-off Point method and algorithm with mathematical formulas for obtaining the exact optimal number of task resources for any workload running on Hadoop.

Bio

Peter P. Nghiem is a seasoned IT and Semiconductors professional with over two decades of experience in the high-tech industry. He has previously held various positions in design engineering, product marketing management and national sales management at AMD, Fujitsu, Raytheon, Toshiba, NEC and Adastra JUMPtec (Kontron).

About the conference

Data Science is an emerging field that allows businesses to effectively mine historical data and better understand consumer behavior. This type of scientific data management approach is critical for any business to successfully launch its products and better serve its existing markets.

Recorded at:

Oct 28, 2017

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