Open AccessConversion of SLA document into Fuzzy Rule base approach and applied in MAPE-K
Author(s) -
Ahmad Kamal Ramli,
Mohd Helmy Abd Wahab,
Syed Zulkarnain Syed Idrus
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1529/2/022104
Subject(s) - computer science , negotiation , service level agreement , quality of service , context (archaeology) , fuzzy rule , quality (philosophy) , adaptation (eye) , service (business) , set (abstract data type) , fuzzy logic , base (topology) , service level , data mining , fuzzy set , computer network , artificial intelligence , business , mathematics , philosophy , law , optics , biology , paleontology , epistemology , marketing , political science , physics , mathematical analysis , programming language
A Service Level Agreement (SLA) is the legal catalyst to monitor any contract violation between end users and ISPs and is embedded within a Quality of Service (QoS) framework. It strengthens and advances the quality of control over the user’s application and network resources and can be further stretched to fulfill the QoS terms through negotiation and re-negotiation. Moreover, the present literature does not focus on the combination of rule-based approaches and adaptation together to update the established learning repository. Therefore, this mainstream of this research in the context of SLAs is to fill in this gap by addressing the combination of rule-base uncertainties. The key to this exercise is the conversion of signed SLA document into set of rules in the rule base approach.