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.