Title :
Monitoring, Prediction and Prevention of SLA Violations in Composite Services
Author :
Leitner, Philipp ; Michlmayr, Anton ; Rosenberg, Florian ; Dustdar, Schahram
Author_Institution :
Distrib. Syst. Group, Vienna Univ. of Technol., Vienna, Austria
Abstract :
We propose the PREvent framework, which is a system that integrates event-based monitoring, prediction of SLA violations using machine learning techniques, and automated runtime prevention of those violations by triggering adaptation actions in service compositions. PREvent improves on related work in that it can be used to prevent violations ex ante, before they have negatively impacted the provider´s SLAs. We explain PREvent in detail and show the impact on SLA violations based on a case study.
Keywords :
Web services; learning (artificial intelligence); security of data; PREvent framework; SLA violation; automated runtime prevention; composite service; event based monitoring; machine learning technique; service level agreement; violations prevention; Adaptation model; Business; Databases; Measurement; Monitoring; Runtime; Web services; SLA Violation; Service Composition; Web Services;
Conference_Titel :
Web Services (ICWS), 2010 IEEE International Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-8146-0
Electronic_ISBN :
978-0-7695-4128-0
DOI :
10.1109/ICWS.2010.21
