Comprehensive Monitoring of BPEL Processes

Service-oriented systems' distributed ownership has led to an increasing focus on runtime management solutions. Service-oriented systems can change greatly after deployment, hampering their quality and reliability. Their service bindings can change, and providers can modify the internals of the...

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Vydáno v:IEEE internet computing Ročník 14; číslo 3; s. 50 - 57
Hlavní autoři: Baresi, Luciano, Guinea, Sam, Nano, Olivier, Spanoudakis, George
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.05.2010
IEEE Computer Society
Témata:
Applied sciences
Assertion checkers
assertion languages
Binding
Collection
Computation
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Concrete
Data analysis
Data processing
Design Tools and Techniques
Distributed/Internet based software engineering tools and techniques
Exact sciences and technology
Flexibility
Internet
Monitoring
Programming languages
Runtime
Scalability
Software
Software Engineering
Software/Program Verification
Software/Software Engineering
Specification languages
Specifications
Specification language
Data analysis
Critical system
Scalability
Unfolding
Distributed system
Distributed computing
Modeling
Database
Anomaly
Internet
Reliability
Service oriented
Monitoring
ISSN:1089-7801, 1941-0131
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Popis
Shrnutí:Service-oriented systems' distributed ownership has led to an increasing focus on runtime management solutions. Service-oriented systems can change greatly after deployment, hampering their quality and reliability. Their service bindings can change, and providers can modify the internals of their services. Monitoring is critical for these systems to keep track of behavior and discover whether anomalies have occurred. The Service-Centric Monitoring Language (SECMOL), a general monitoring specification language, clearly separates concerns between data collection, data computation, and data analysis, allowing for high flexibility and scalability. SECMOL also presents a concrete projection of the model onto three monitoring frameworks.
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ISSN:1089-7801
1941-0131
DOI:10.1109/MIC.2010.66