Browse Prior Art Database

Method and Apparatus for Bottleneck Inference

IP.com Disclosure Number: IPCOM000016774D
Original Publication Date: 2003-Jul-15
Included in the Prior Art Database: 2003-Jul-15

Publishing Venue

IBM

Abstract

Disclosed are methods and apparatuses for automatically acquiring logs and configurations from each sub-system in a Web system to infer performance bottlenecks of the entire system using inference engines based on these acquisition data, and using visual analysis of these data for ensuring the correctness of inference engines. For keeping high availability and performance in the system such as a Web site, it is necessary to monitor and analyze it for grasping status to infer bottlenecks or their candidates. However, total amount of logs from each sub-system such as databases or application servers that consist of the focusing system is huge. Hence, it is difficult to manually analyze such logs and it is almost impossible to infer bottlenecks correctly from such huge logs. Disclosed methods and apparatuses get around these issues.