APNOMS '08 Proceedings of the 11th Asia-Pacific Symposium on Network Operations and Management: Challenges for Next Generation Network Operations and Service Management
DRACA: decision support for root cause analysis and change impact analysis for CMDBs
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
Service fault localization using functional events separation and modeling of service resources
APNOMS'09 Proceedings of the 12th Asia-Pacific network operations and management conference on Management enabling the future internet for changing business and new computing services
Requirements-Driven root cause analysis using markov logic networks
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
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In today's service market the provisioning of high quality services has become a critical issue for providers as the business success of their customers is often based on the well functioning of these subscribed services. Besides a proper service configuration an efficient fault management needs to be in place. Requirements for such a fault management are the timely resolution of problems affecting the service quality and a reasonable balance between the fault management effort and the costs saved by preventing service level agreement violations. In order to fulfill these requirements we propose the adaptation of event correlation techniques which have already proven to be useful in the area of network and systems management. Our hybrid architecture consists of a rule-based reasoning module, whose rules are derived from a modeling of services and underlying infrastructure, and a case-based reasoning module. Due to the complexity of today's service provisioning we use the latter one to collect cases that cannot be covered by the rules so far. The experience gained from the cases is used to improve the modeling and therefore to improve the rules. We use a service provisioning scenario at a large IT service provider to show the applicability of our approach.