Howard Foster
ABSTRACT
Service Level Agreements (SLAs) for Software Services aim to clearly identify the service level commitments established between service requesters and providers. The commitments that are agreed however can be expressed in complex notations through a combination of expressions that need to evaluated and monitored efficiently. The dynamic allocation of the responsibility for monitoring SLAs (and often different parts within them) to different monitoring components is necessary as both SLAs and the components available for monitoring them may change dynamically during the operation of a service based system. In this paper we discuss an approach to supporting this dynamic configuration, and in particular, how SLAs expressed in higher-level notations can be efficiently decomposed and appropriate monitoring components dynamically allocated for each part of the agreements. The approach is illustrated with mechanical support in the form of a configuration service which can be incorporated into SLA-based service monitoring infrastructures.
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Reviews
Hasan Sozer
Organizations use service level agreement (SLA) specifications as a basis for monitoring and verifying services with respect to commitments established between service requesters and providers. SLA specifications can comprise a structured set of agreement terms, each of which should be assigned to a monitoring component. The proposed approach aims to handle this assignment dynamically by parsing and analyzing the SLA specification together with a specification that documents the configuration of available monitoring components. This paper tackles a relevant problem. Automatic and dynamic allocation of resources is essential due to the inherent dynamicity of service-oriented systems, where SLA specifications and monitoring components are subject to change. Implicit limitations of the proposed approach exist, however, in which SLA terms and components are matched simply based on the correlation of input and operator types. It is not clear how such a matching can support a complex SLA specification if its structure is not aligned with the configuration of existing monitoring components. For example, a monitor can measure mean time to recovery (MTTR), another one can measure mean time to failure (MTTF), and yet another (composite) one can utilize these measurements to measure availability. The paper presents a prototype implementation. It mentions that a full evaluation of the approach is in progress, but it could have at least discussed the obvious limitations regarding the usage of the approach in its own project context, as well as in other projects. Online Computing Reviews Service
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