Power-Proportional Transaction Processing

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                Joint Seminar
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The Hong Kong University of Science & Technology
Department of Computer Science and Engineering
Big Data Institute
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Speaker:        Professor Ken Salem
                University of Waterloo

Title:          "Power-Proportional Transaction Processing"

Date:           Friday, 18 May 2018

Time:           11:00am to 12 noon

Venue:          Lecture Theater G (near lift 25/26), HKUST

Abstract:

Servers consume a lot of power.  They are more inefficient when they are
not fully loaded, which is common. In this talk, I will focus specifically
on transaction processing servers, and will consider what can we do, in
software, to make such servers more power proportional. I'll present two
pieces of recent work.  The first focuses on improving the power
proportionality of CPUs through careful management of CPU voltage and
frequency scaling.  The second focuses on improving the power
proportionality of memory, which is of growing concern because of the
demand for in-memory computing.


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Biography:

Ken Salem is a professor in the Cheriton School of Computer Science at the
University of Waterloo, which he joined in 1994.  He received his Ph.D. in
computer science from Princeton University in 1989 and spent several years
at the University of Maryland before moving to Waterloo. He has also held
visiting research positions at IBM's Almaden Research Center and at HP
Laboratories in Palo Alto. His research interests include database
management, storage systems, and cloud computing.  His work has led to
best paper awards at the International Conference on Very Large Data Bases
(VLDB) in 2011 and the ACM Symposium on Cloud Computing (SoCC) in 2015,
and the influential paper award at the IEEE International Conference on
Data Engineering (ICDE) in 2007.  He is an ACM Distinguished Scientist.