A Generative Approach for the Adaptive Monitoring of SLA in Service Choreographies

Monitoring is an essential means in the management of service-oriented applications. Here, event correlation results crucial when monitoring rules aim at checking the exposed levels of Quality of Service against the Service Level Agreements established among the choreography participants. However, when choreographies are enacted over distributed networks or clouds, the relevant monitoring rules might not be completely defined a-priori, as they may need to be adapted to the specific infrastructure and to the evolution of events. This paper presents an adaptive multi-source monitoring architecture synthesizing instances of rules at run-time and shows examples of use on a demonstration scenario from the European Project CHOReOS.

[1]  David Stuart Robertson,et al.  Choreographing Web Services , 2009, IEEE Transactions on Services Computing.

[2]  Antonello Calabrò,et al.  Monitoring Service Choreographies from Multiple Sources , 2012, SERENE.

[3]  Annapaola Marconi,et al.  PRadapt: A framework for dynamic monitoring of adaptable service-based systems , 2012, 2012 4th International Workshop on Principles of Engineering Service-Oriented Systems (PESOS).

[4]  Oliver Kopp,et al.  Cross-organizational process monitoring based on service choreographies , 2010, SAC '10.

[5]  Dimosthenis Kyriazis,et al.  A Self-adaptive hierarchical monitoring mechanism for Clouds , 2012, J. Syst. Softw..

[6]  Krzysztof Czarnecki,et al.  Generative programming - methods, tools and applications , 2000 .

[7]  Annapaola Marconi,et al.  Multi-layered Monitoring and Adaptation , 2011, ICSOC.

[8]  Antonello Calabrò,et al.  Towards a Model-Driven Infrastructure for Runtime Monitoring , 2011, SERENE.

[9]  Raffaela Mirandola,et al.  Non-functional analysis of service choreographies , 2012, 2012 4th International Workshop on Principles of Engineering Service-Oriented Systems (PESOS).