Rule-based Knowledge Representation for Service Level Agreement

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dc.creatorPaschke, Adrian
dc.date2006-09-21
dc.date.accessioned2026-07-07T07:23:56Z
dc.date.available2026-07-07T07:23:56Z
dc.descriptionAutomated management and monitoring of service contracts like Service Level Agreements (SLAs) or higher-level policies is vital for efficient and reliable distributed service-oriented architectures (SOA) with high quality of ser-vice (QoS) levels. IT service provider need to manage, execute and maintain thousands of SLAs for different customers and different types of services, which needs new levels of flexibility and automation not available with the current technol-ogy. I propose a novel rule-based knowledge representation (KR) for SLA rules and a respective rule-based service level management (RBSLM) framework. My rule-based approach based on logic programming provides several advantages including automated rule chaining allowing for compact knowledge representation and high levels of automation as well as flexibility to adapt to rapidly changing business requirements. Therewith, I address an urgent need service-oriented busi-nesses do have nowadays which is to dynamically change their business and contractual logic in order to adapt to rapidly changing business environments and to overcome the restricting nature of slow change cycles.
dc.descriptionDoctoral Symposium of 4th Conf. on Multiagent System Technologies (MATES'06), Germany, 2006
dc.identifierhttps://arxiv.org/abs/cs/0609120
dc.identifierhttp://arxiv.org/abs/cs/0609120
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/116167
dc.subjectArtificial Intelligence
dc.subjectDatabases
dc.subjectLogic in Computer Science
dc.subjectMultiagent Systems
dc.subjectSoftware Engineering
dc.titleRule-based Knowledge Representation for Service Level Agreement
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