Service Lifecycle Management in Distributed JBI Environment

Towards robustness and self-organization of ESB-based solutions using service life-cycle management

“…functions of monitoring and data analytics, is a crucial issue for the component reusing, maintenance and monitoring [Wang et al, 2012], and in the context of ESBs, contributes to increase the system robustness, reliability and fault-tolerance. In fact, the possibility to monitor the performance of registered services and analyse the evolution of their behaviour, allows to detect in advance the possible degradation or risk propagation, being possible to generate warnings to implement proper corrective actions to mitigate the problem.…”

“…It is recognized the importance of SOA type solutions to provide monitoring and management capabilities at service level [Wang et al, 2012]. Currently the ESB platforms only provide basic functions associated to the service registry (see Table 4 with an example for a concrete solution) and completely misses more advanced functionalities.…”

“…The implementation of these functionalities may consider the use of data mining techniques [Witten et al, 2011], namely clustering algorithms. Clustering is a technic used to find, in an automatized way, hidden patterns in big quantities of data.…”