Title :
A state-space approach to SLA based management
Author :
Kumar, Vibhore ; Schwan, Karsten ; Iyer, Subu ; Chen, Yuan ; Sahai, AKhil
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA
Abstract :
Large complex systems (such as Enterprise systems) are often composed of several interacting, independent components. In many such systems, although the behavior of the constituent components is well characterized, the behavior that results from interaction between such components is more or less intractable; making it hard for the administrators to efficiently manage the system in conformance with the service level agreements or the SLAs. This paper presents an approach for deriving component-level objectives from system-level objectives or agreements, which if conformed to, imply conformance to the higher-level SLA. Our approach partitions the systempsilas state-space into homogeneous sub-spaces, creates micro-models for such subspaces, and then uses such micro-models to translate the higher-level objectives to component-level objectives. We have implemented a system, termed Pranaali, for evaluating our approach in realistic settings.
Keywords :
DP management; business data processing; state-space methods; Pranaali; SLA based management; component-level objectives; enterprise systems; higher-level objectives; homogeneous sub-spaces; large complex systems; service level agreements; state-space approach; system-level objectives; Application software; Databases; Educational institutions; Large-scale systems; Milling machines; Monitoring; Runtime; Scalability; State-space methods; Technology management;
Conference_Titel :
Network Operations and Management Symposium, 2008. NOMS 2008. IEEE
Conference_Location :
Salvador, Bahia
Print_ISBN :
978-1-4244-2065-0
Electronic_ISBN :
1542-1201
DOI :
10.1109/NOMS.2008.4575134