Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
BPM: The Promise and the Challenge
Queue - DSPs
Business Process Management: Modeling Through Monitoring (Ibm Redbooks)
Business Process Management: Modeling Through Monitoring (Ibm Redbooks)
A model-driven approach to describe and predict the performance of composite services
WOSP '07 Proceedings of the 6th international workshop on Software and performance
Fundamentals of simulation modeling
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Predictive business operations management
International Journal of Computational Science and Engineering
Engineering Self-Adaptive Systems through Feedback Loops
Software Engineering for Self-Adaptive Systems
Performance evaluation of service-oriented architecture through stochastic Petri nets
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An empirical comparison of methods to support QoS-aware service selection
Proceedings of the 2nd International Workshop on Principles of Engineering Service-Oriented Systems
Business process adaptation on a tracked simulation model
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Runtime prediction of service level agreement violations for composite services
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
The effectiveness of workflow management systems: Predictions and lessons learned
International Journal of Information Management: The Journal for Information Professionals
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
ARIMA model-based web services trustworthiness evaluation and prediction
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
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Business processes need to achieve key performance indicators with minimum resources in changing operating conditions. Changes include hardware and software failures, load variation and variations in user interaction with the system. By incorporating simulation in the prediction model it is possible to predict with more confidence system performance degradations. We present our dynamic predictive model which uses forecasting techniques on historical process performance estimates for business process optimization. The parameters of the simulation model are estimates tuned at run-time by tracking the system with a particle filter.