TY - GEN
T1 - Event Condition Expectation (ECE-) rules for monitoring observable systems
AU - Bragaglia, Stefano
AU - Chesani, Federico
AU - Fry, Emory
AU - Mello, Paola
AU - Montali, Marco
AU - Sottara, Davide
PY - 2011/11/9
Y1 - 2011/11/9
N2 - The standardization and broad adoption of Service Oriented Architectures, Web Services, and Cloud Computing is raising the complexity of ICT systems. Hence, assuring correct system behavior with regard to established design and business constraints is of the utmost importance. Run-time monitoring, where the outcomes of an observed system are continuously checked against what is expected of it, is one possible approach to providing the required oversight. In this paper, we discuss this notion of rule expectations, their violation and/or fulfillment, and use these concepts to define the concept of an Event-Condition-Expectation (ECE-) rule, a variation of the traditional Event-Condition-Action rule pattern. To demonstrate these concepts, we present extensions to the syntax used by the production rule engine, Drools, and describe their use in a medical case study. The clinical decision support system being developed monitors rule evaluations and expectations, detects constraint violations and is able to take recovery/ compensation actions as appropriate.
AB - The standardization and broad adoption of Service Oriented Architectures, Web Services, and Cloud Computing is raising the complexity of ICT systems. Hence, assuring correct system behavior with regard to established design and business constraints is of the utmost importance. Run-time monitoring, where the outcomes of an observed system are continuously checked against what is expected of it, is one possible approach to providing the required oversight. In this paper, we discuss this notion of rule expectations, their violation and/or fulfillment, and use these concepts to define the concept of an Event-Condition-Expectation (ECE-) rule, a variation of the traditional Event-Condition-Action rule pattern. To demonstrate these concepts, we present extensions to the syntax used by the production rule engine, Drools, and describe their use in a medical case study. The clinical decision support system being developed monitors rule evaluations and expectations, detects constraint violations and is able to take recovery/ compensation actions as appropriate.
UR - http://www.scopus.com/inward/record.url?scp=80455168099&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-24908-2_28
DO - 10.1007/978-3-642-24908-2_28
M3 - Conference contribution
AN - SCOPUS:80455168099
SN - 9783642249075
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 267
EP - 281
BT - Rule-Based Modeling and Computing on the Semantic Web - 5th International Symposium, RuleML 2011 - America, Proceedings
T2 - 5th International Symposium on Rules: Research-Based and Industry-Focused, RuleML 2011, Collocated with the International Business Rules Forum, BRF
Y2 - 3 November 2011 through 5 November 2011
ER -