AMBIENCE: Automatic Model Building using InferENCE

Performance Modeling has become increasingly important in the design, engineering and optimization of Information Technology (IT) infrastructures and applications. A modeling approach is particularly efficient in providing architects and engineers with qualitative and quantitative insights about the system under consideration. However, the modeling work itself is time consuming and requires a good knowledge of not only the system, but also modeling techniques. In this paper, we present a tool, AMBIENCE, aimed at automating the process of performance modeling and optimization of IT infrastructure and applications. AMBIENCE incorporates an innovative approach that integrates high-level queueing network models with advanced inference techniques. This approach uses system measurement data and end-to-end response time measurement data as input, and infers the queueing parameters of the system. In addition, AMBIENCE features a suite of powerful performance engineering functions, including predicting performance, optimizing existing IT infrastructure and suggesting cost-effective architecture designs through deployment and operations. AMBIENCE has been successfully used to analyze performance, quality of service and optimal design for a range of e-business infrastructures.

By: Zhen Liu, Cathy H. Xia, Petar Momcilovic, Li Zhang

Published in: RC22961 in 2003


This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.


Questions about this service can be mailed to .