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IBM Systems Journal
IT-Enabled Business Transformation   Volume 46, Number 4, 2007
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Model analysis for business event processing - References

 by L. Zeng,
H. Lei,
T. Koyanagi,
H. Ohsaki,
and H. Chang
Cited references

  1. P. Chowdhary, K. Bhaskaran, N. S. Caswell, H. Chang, T. Chao, S.-K. Chen, M. Dikun, et al., “Model Driven Development for Business Performance Management,” IBM Systems Journal 45, No. 3, 587–605 (2006).
  2. L. Zeng, H. Lei, M. Dikun, H. Chang, and C. Shu, “Dynamic Evolution of Business Performance Management,” Proceedings of the IEEE International Conference on e-Business Engineering, Shanghai, China (2006), pp. 415–424.
  3. L. Zeng, H. Lei, M. Dikun, H. Chang, and K. Bhaskaran, “Model-Driven Business Performance Management,” Proceedings of the IEEE International Conference on e-Business Engineering, Beijing, China (2005), pp. 295–304.
  4. Complex Event Processing, http://en.wikipedia.org/wiki/Complex_event_processing.
  5. D. Luckham, The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems, Addison-Wesley Professional, Boston, MA (2002).
  6. J. Rao, H. Pirahesh, C. Mohan, and G. M. Lohman, “Compiled Query Execution Engine Using JVM,” Proceedings of the 22nd International Conference on Data Engineering (ICDE), Atlanta, GA (2006), p. 23.
  7. B. Goetz, T. Peierls, J. Bloch, J. Bowbeer, D. Holmes, and D. Lea, Java Concurrency in Practice, Addison-Wesley Professional, Boston, MA (2006).
  8. N. H. Gehani, H. V. Jagadish, and O. Shmueli, “Composite Event Specification in Active Databases: Model & Implementation,” Proceedings of the 18th International Conference on Very Large Databases, Vancouver, Canada (1992), pp. 327–338.
  9. S. Chakravarthy and D. Mishra, “Snoop: An Expressive Event Specification Language for Active Databases,” Data & Knowledge Engineering 14, No. 1, 1–26 (1994).
  10. S. Chakravarthy, V. Krishnaprasad, E. Anwar, and S.-K. Kim, “Composite Events for Active Databases: Semantics, Contexts and Detection,” Proceedings of the 20th International Conference on Very Large Data Bases, Santiago, Chile (1994), pp. 606–617.
  11. D. Zimmer and R. Unland, “On the Semantics of Complex Events in Active Database Management Systems,” Proceedings of the 15th International Conference on Data Engineering, Sydney, Australia (1999), pp. 392–399.
  12. A. Adi and O. Etzion, “Amit—The Situation Manager,” The International Journal on Very Large Data Bases 13, No. 2, 177–203 (2004).
  13. L. Liu, C. Pu, and W. Tang, “Continual Queries for Internet Scale Event-Driven Information Delivery,” IEEE Transactions on Knowledge and Data Engineering 11, No. 4, 610–628 (1999).
  14. L. Zeng and H. Lei, “A Semantic Publish/Subscribe System,” Proceedings of the IEEE International Conference on E-Commerce Technology for Dynamic E-Business, Beijing, China (2004), pp. 32–39.
  15. M. K. Aguilera, R. E. Strom, D. C. Sturman, M. Astley, and T. D. Chandra, “Matching Events in a Content-Based Subscription System,” Proceedings of the 18th ACM Symposium on Principles of Distributed Computing, Atlanta, GA (1999), pp. 53–61.
  16. F. Fabret, H. A. Jacobsen, F. Llirbat, J. Pereira, K. A. Ross, and D. Shasha, “Filtering Algorithms and Implementation for Very Fast Publish/Subscribe Systems,” Proceedings of the ACM SIGMOD International Conference on Management of Data, Santa Barbara, CA (2001), pp. 115–126.
  17. A. Demers, J. Gehrke, M. Hong, M. Riedewald, and W. White, “Towards Expressive Publish/Subscribe Systems,” Proceedings of the International Conference on Extending Database Technology, Munich, Germany (2006), pp. 627–644.
  18. J. M. Hellerstein, W. Hong, S. Madden, and K. Stanek, “Beyond Average: Toward Sophisticated Sensing with Queries,” Proceedings of the Workshop on Information Processing in Sensor Networks (IPSN), Palo Alto, CA (2003), http://db.cs.berkeley.edu/papers/ipsn03-beyondavg.pdf.
  19. Borealis: Distributed Stream Processing Engine, Brandeis University, Brown University, and the Massachusetts Institute of Technology, http://www.cs.brown.edu/research/borealis/public/.
  20. TelegraphCQ, University of California–Berkeley, Computer Science Division, http://telegraph.cs.berkeley.edu/index.html.
  21. STREAM, Stanford Stream Data Manager, Stanford University, http://infolab.stanford.edu/stream/.
  22. E. Wu, Y. Diao, and S. Rizvi, “High-Performance Complex Event Processing Over Streams,” Proceedings of the ACM SIGMOD International Conference on Management of Data, Chicago, IL (2006), pp. 407–418.
  23. M. Welsh, D. Culler, and E. Brewer, “SEDA: An Architecture for Well-Conditioned, Scalable Internet Services,” Proceedings of the 18th Symposium on Operating Systems Principles (SOSP), Chateau Lake Louise, Canada (2001), pp. 230–243.
  24. S. Harizopoulos, V. Shkapenyuk, and A. Ailamaki, “QPipe: A Simultaneously Pipelined Relational Query Engine,” Proceedings of the SIGMOD International Conference on Management of Data, Baltimore, MD (2005), pp. 383–394.


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