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/ 
