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Bianca Schroeder
University of Toronto
Thursday, November 30, 2017 at 4:00 PM
Room 368 (CIT 3rd Floor)
Case studies from the real world: The importance of measurement and
analysis in building better systems
At the core of the "Big Data" revolution lie frameworks and systems
that allow for the massively parallel processing of large amounts of
data. Ironically, while they have been designed for processing large
amounts of data, these systems are at the same time major producers of
data: to support the administration and management of these huge-scale
systems, they are configured to generate detailed log and monitoring
data, periodically capturing the system state across all nodes,
components and jobs in the system. While such logging information is
used routinely by sysadmins for ad-hoc trouble-shooting and problem
diagnosis, there is a tremendous value in analyzing such data from a
research point of view. In this talk, we will go over several case
studies that demonstrate how measuring and analyzing measurement data
from production systems can provide new insights into how systems work
and fail, and how these new insights can help in designing better
systems.
Bianca is an associate professor and Canada Research Chair in the
Computer Science Department at the University of Toronto. She is also
currently serving as associate department chair in Computer and
Mathematical Sciences Department at the University of Toronto,
Scarborough. Before joining UofT, she spent 2 years as a post-doc at
Carnegie Mellon University working with Garth Gibson. She received her
doctorate from the Computer Science Department at Carnegie Mellon
University under the direction of Mor Harchol-Balter. She is an Alfred
P. Sloan Research Fellow, the recipient of the Outstanding Young
Canadian Computer Science Prize of the Canadian Association for
Computer Science, an Ontario Early Researcher Award, an NSERC
Accelerator Award, a two-time winner of the IBM PhD fellowship and her
work has won four best paper awards and one best presentation award.
She has co-chaired the TPCs of Usenix FAST'14, ACM Sigmetrics'14 and
IEEE NAS'11. She is also a member of the Usenix FAST conference's
steering committee and an associate editor for IEEE TDSC. Her work on
storage reliability and her work on DRAM reliability have been
featured in articles at a number of news sites, including
Computerworld, Wired, Slashdot, PCWorld, StorageMojo and eWEEK.
Host: Professor Rodrigo Fonseca
Computer Science at Brown University
Providence, Rhode Island 02912 USA
Phone: 401-863-7600
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