JSM 2005 Online Program

Abstract #303891

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page

Legend:

= Applied Session,

= Theme Session,

= Presenter

Activity Number:	142
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Physical and Engineering Sciences
Abstract - #303891
Title:	Multivariate Analysis of a Computer Experiment for Data Center Thermal Distribution
Author(s):	Yasuo Amemiya*+
Companies:	IBM
Address:	1101 Kitchawan Road, Yorktown Heights, NY, 10598, United States
Keywords:	Latent variable modeling ; Response surface ; Experimental design ; Simulation model ; Optimization
Abstract:	The temperature management is a key in designing and running a reliable data center with many storage servers operating constantly and generating heat. How different configurations and specifications can affect the data center thermal distribution is largely unknown. This is because the physical thermal process is complex, depending on many factors, and detailed temperature measurements are not monitored in the actual data centers. It is possible to build a physics-based algorithm for simulating an air/temperature movement mechanism under a given set of conditions (i.e., to conduct an informative computer experiment). A run in such an experiment may take several days and require the stabilization of the algorithm with a large number of reference points. Hence, the use of an efficient and informative experimental design is necessary. We present a latent variable modeling approach for analyzing the multivariate temperature readings produced by the computer experiment. Also discussed is a method for obtaining practical choices of certain factor levels for a given set of physical and usage requirements.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program