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Published Articles >> Table of Contents >> Abstract
IEEE International Conference on e-Business Engineering (ICEBE'06)
pp. 415-424
Dynamic Evolution of Business Performance Management
Liangzhao Zeng, IBM T.J. Watson Research Center
Hui Lei, IBM T.J. Watson Research Center
Michael Dikun, IBM T.J. Watson Research Center
Henry Chang, IBM T.J. Watson Research Center
Chang Shu, IBM China Software Development Laboratory
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICEBE.2006.43
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| Abstract |
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Business PerformanceManagement(BPM) is a new frontier
in IT-enabled enterprise that supports the monitoring
business operations. BPM solutions must be able to efficiently
process business events, compute business metrics,
detect business situations, and provide the real-time visibility
of key performance indicators (KPIs) in dynamic environments,
wherein sources of dynamicity are plentiful, including
new strategies, operations, KPIs, etc. Therefore,
BPM solutions need to adapt these changes by dynamic evolution.
We propose a policy-driven approach, where evolution
policies capture the evolution mechanism of BPM solutions.
This frees solution developers from low-level programming
concerns. We implemented a hybrid compilationinterpretation
framework that enables execution of wide
spectrums of evolution policies. Further, our framework enables
execution of evolution policies in parallel with on going
event processing and guarantees the integrity on both of
them.
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 Additional Information
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Citation:
Liangzhao Zeng, Hui Lei, Michael Dikun, Henry Chang, Chang Shu,
"Dynamic Evolution of Business Performance Management,"
icebe,
pp. 415-424,
IEEE International Conference on e-Business Engineering (ICEBE'06),
2006
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