A logic-based calculus of events
New Generation Computing
Automatic Recognition of Intermittent Failures: An Experimental Study of Field Data
IEEE Transactions on Computers
Automated SLA Monitoring for Web Services
DSOM '02 Proceedings of the 13th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Management Technologies for E-Commerce and E-Business Applications
A Methodology for Detection and Estimation of Software Aging
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Automatic Measurement of a QoS Metric for Web Service Recommendation
ASWEC '05 Proceedings of the 2005 Australian conference on Software Engineering
Effect of System Workload on Operating System Reliability: A Study on IBM 3081
IEEE Transactions on Software Engineering
Detection of Security and Dependability Threats: A Belief Based Reasoning Approach
SECURWARE '09 Proceedings of the 2009 Third International Conference on Emerging Security Information, Systems and Technologies
Comprehensive QoS monitoring of Web services and event-based SLA violation detection
Proceedings of the 4th International Workshop on Middleware for Service Oriented Computing
Non-functional data collection for adaptive business processes and decision making
Proceedings of the 4th International Workshop on Middleware for Service Oriented Computing
Predicting failures of computer systems: a case study for a telecommunication system
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Runtime prediction of service level agreement violations for composite services
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
Proceedings of the 16th European Conference on Pattern Languages of Programs
Towards performance isolation in multi-tenant SaaS applications
Proceedings of the 7th Workshop on Middleware for Next Generation Internet Computing
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Monitoring the preservation of QoS properties during the operation of service-based systems at run-time is an important verification measure for checking if the current service usage is compliant with agreed SLAs. Monitoring, however, does not always provide sufficient scope for taking control actions against violations as it only detects violations after they occur. In this paper we describe a model-based prediction framework, EVEREST+, for both QoS predictors development and execution. EVEREST+ was designed to provide a framework for developing in an easy and fast way QoS predictors only focusing on their prediction algorithms implementation without the need for caring about how to collect or retrieve historical data or how to infer models out of collected data. It also provides a run-time environment for executing QoS predictors and storing their predictions.