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Managing the Performance of Large, Distributed Storage Systems

July 10, 2008
Time: 10:00 AM
Location: MSL Auditorium

High-performance computer systems continue to grow in size and
complexity and must frequently handle many different tasks
simultaneously. The I/O subsystem is often a bottleneck to overall
system performance and interference among applications can lead to
disproportionate performance degradation, unpredictable run times, and
inefficient use of the resources. This talk presents our ongoing
research in managing, and guaranteeing, the performance of large,
distributed storage systems. We will discuss our general model for
performance management and survey our solutions for CPU, disk,
network, and storage server cache.

Bio:
Dr. Scott A. Brandt is Professor of Computer Science at the University
of California, Santa Cruz and the UCSC Director of the UCSC/Los Alamos
Institute for Scalable Scientific Data Management (ISSDM). His
interests are broadly in the are of Computer Systems and his research
ranges from scalable, high-performance, distributed storage to real- time CPU scheduling.



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