Model analysis for business event processing

Business event processing requires efficiently processing live events, computing business performance metrics, detecting business situations, and providing real-time visibility of key performance indicators. Given the high volume of events and significant complexity of computation, system performanc...

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Bibliographic Details
Published in:IBM systems journal 2007-10, Vol.46 (4), p.817-831
Main Authors: Zeng, L, Lei, H, Koyanagi, T, Ohsaki, H, Chang, H
Format: Article
Language:English
Subjects:
Analysis
Business metrics
Business models
Events planning
Information technology
Java
Real time
Structured Query Language-SQL
Systems design
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Summary:Business event processing requires efficiently processing live events, computing business performance metrics, detecting business situations, and providing real-time visibility of key performance indicators. Given the high volume of events and significant complexity of computation, system performance-event throughput-is critical. In this paper, we advocate model-analysis techniques to improve event throughput. In the build time, a series of model analyses of the application logic are conducted to understand such factors as runtime data-access path, data flow, and control flow. Such analyses can be used to improve throughput three ways: at build time it can be used to facilitate the generation of customized code to optimize I/O and CPU usage; information about the control flow and data flow can be used to ensure that CPU resources are used effectively by distributing event-processing computation logic evenly over time; and at runtime, knowledge gained from the model can be used to plan multithreaded parallel event-processing execution to reduce wait states by maximizing parallelization and reducing the planning overhead. This paper presents a series of model-analysis techniques and the results of experiments that demonstrate their effectiveness. [PUBLICATION ABSTRACT]
ISSN:0018-8670
DOI:10.1147/sj.464.0817