TY - GEN
T1 - Monitoring business processes with queries
AU - Beeri, Catriel
AU - Eyal, Anat
AU - Milo, Tova
AU - Pilberg, Alon
N1 - Publisher Copyright:
Copyright 2007 VLDB Endowment, ACM.
PY - 2007
Y1 - 2007
N2 - Many enterprises nowadays use business processes, based on the BPEL standard, to achieve their goals. These are complex, often distributed, processes. Monitoring the execution of such processes for interesting patterns is critical for enforcing business policies and meeting efficiency and reliability goals. BP-Mon (Business Processes Monitoring) is a novel query language for monitoring business processes, that allows users to visually define monitoring tasks and associated reports, using a simple intuitive interface, similar to those used for designing BPEL processes. We describe here the BP-Mon language and its underlying formal model. We also present the language implementation and describe our novel optimization techniques. An important feature of the implementation is that BP-Mon queries are translated to BPEL processes that run on the same execution engine as the monitored processes. Our experiments indicate that this approach incurs very minimal overhead, hence is a practical and efficient approach to monitoring.
AB - Many enterprises nowadays use business processes, based on the BPEL standard, to achieve their goals. These are complex, often distributed, processes. Monitoring the execution of such processes for interesting patterns is critical for enforcing business policies and meeting efficiency and reliability goals. BP-Mon (Business Processes Monitoring) is a novel query language for monitoring business processes, that allows users to visually define monitoring tasks and associated reports, using a simple intuitive interface, similar to those used for designing BPEL processes. We describe here the BP-Mon language and its underlying formal model. We also present the language implementation and describe our novel optimization techniques. An important feature of the implementation is that BP-Mon queries are translated to BPEL processes that run on the same execution engine as the monitored processes. Our experiments indicate that this approach incurs very minimal overhead, hence is a practical and efficient approach to monitoring.
UR - http://www.scopus.com/inward/record.url?scp=84993300473&partnerID=8YFLogxK
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AN - SCOPUS:84993300473
T3 - 33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings
SP - 603
EP - 614
BT - 33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings
A2 - Gehrke, Johannes
A2 - Koch, Christoph
A2 - Garofalakis, Minos
A2 - Aberer, Karl
A2 - Kanne, Carl-Christian
A2 - Neuhold, Erich J.
A2 - Ganti, Venkatesh
A2 - Klas, Wolfgang
A2 - Chan, Chee-Yong
A2 - Srivastava, Divesh
A2 - Florescu, Dana
A2 - Deshpande, Anand
PB - Association for Computing Machinery, Inc
T2 - 33rd International Conference on Very Large Data Bases, VLDB 2007
Y2 - 23 September 2007 through 27 September 2007
ER -