DATE: Thursday, May 11, 2006
TIME: 12:00 noon - 1:00 pm
PLACE: Wean Hall 8220
SPEAKER:
Eno
Thereska
CMU
TITLE:
Informed Data Distribution Selection in a Self-predicting Storage
System
ABSTRACT:
Systems should be self-predicting. They should continuously monitor themselves
and provide quantitative answers to What-If questions about hypothetical
workload or resource changes. Self-prediction would significantly simplify
administrators' decision making, such as acquisition planning and performance
tuning, by reducing the detailed workload and internal system knowledge
required. This talk describes and evaluates support for self-prediction
in a cluster-based storage system and its application to What-If questions
about data distribution selection.
BIO:
Eno Thereska is finishing his fourth year of graduate studies. He works
with Prof. Greg Ganger of the Parallel Data Lab (PDL). He is interested
in building real distributed systems that are easy to manage. An approach
he is currently pursuing puts sufficient instrumentation and modeling
within the system, enabling it to answer several important what-if questions
without outside intervention.
SDI / LCS Seminar Questions?
Karen Lindenfelser, 86716, or visit www.pdl.cmu.edu/SDI/