JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 533
Type: Contributed
Date/Time: Wednesday, August 7, 2013 : 10:30 AM to 12:20 AM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #309136
Title: Online Updating and Scheduling of Computer Models with Application to Data Center Thermal Management
Author(s): Huijing Jiang*+ and Xinwei Deng and Vanessa Lopez and Hendrik F. Hamann
Companies: IBM T.J. Watson Research Center and Virginia Tech and IBM T.J. Watson Research Center and IBM T. J. Watson Research Center
Keywords: computer model ; dynamic bias correction ; Kalman filter ; stochastic projected gradient methods ; data center enery management

Energy and thermal management in data centers has become very important not only because of raising cost of energy but also in order to address growing sustainability concerns about information technology. Towards this end, complex physics-based computer models (e.g., computational fluid dynamics models) are extensively used to simulate the temperature distribution map in data centers. However, due to management policies and time constraints, it may not always be practical to use such models in real-time. In this talk, we propose a novel statistical modeling approach to perform real-time simulation by dynamically correcting the discrepancy between a base, steady-state solution of a physical model and real-time temperature sensor data. The proposed method utilizes Kalman filter and stochastic gradient descent approach as computational tools to achieve real-time updating of the base temperature map as new sensor measurements are acquired. We evaluate the performance of our proposed method through a simulation study and demonstrate its merits in a case study conducted for a real-life data center.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2013 program

2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.