Synchronizing a database to improve freshness
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A Performance Study of Monitoring and Information Services for Distributed Systems
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
Load Shedding for Aggregation Queries over Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Software—Practice & Experience
Run-Time Monitoring of Instances and Classes of Web Service Compositions
ICWS '06 Proceedings of the IEEE International Conference on Web Services
QMON: QoS- and Utility-Aware Monitoring in Enterprise Systems
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Self-Tuning, Bandwidth-Aware Monitoring for Dynamic Data Streams
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
WS-Policy for service monitoring
TES'05 Proceedings of the 6th international conference on Technologies for E-Services
Issues and scenarios for self-managing grid middleware
Proceedings of the 2nd workshop on Grids meets autonomic computing
EVEREST+: run-time SLA violations prediction
Proceedings of the 5th International Workshop on Middleware for Service Oriented Computing
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Monitoring application services becomes more and more a transverse key activity in SOA. Beyond traditional human system administration and load control, new activities such as autonomic management as well as SLA enforcement raise the stakes over monitoring requirements. In this paper, we address a new monitoring-based activity which is selecting among competitive service offers based on their currently measured QoS. Starting from this use case, the late binding of service calls in SOA given the current QoS of a set of candidate services, we first elicit the requirements and then describe M4ABP (Monitoring for Adaptive Business Process), a middleware component for monitoring services and delivering monitoring data to business processes wishing to call them. Within this settings, M4ABP provides solutions for general requirements: flexibility as well as performance in data access for clients, coherency of data sets and network usage optimization. Lessons learned from this first use case can be applied to similar monitoring scenario, as well as to the larger field of context-aware computing.