Title of article :
Toward a Module-centralized and Aspect-oriented Monitoring Framework in Clouds
Author/Authors :
Ma, Kun University of Jinan - Shandong Provincial Key Laboratory of Network Based Intelligent Computing, China , Sun, Runyuan University of Jinan - Shandong Provincial Key Laboratory of Network Based Intelligent Computing, China , Abraham, Ajith Scientific Network for Innovation and Research Excellence - Machine Intelligence Research Labs, USA
Abstract :
Currently, monitoring plays an important role in managing the Cloud computing environment. However, the Cloud computing owners and tenants often lack the management and monitoring tools to ensure the performance, robustness, dependability, and security. To address this limitation, this paper describes the development of a lightweight module-centralized and aspect-oriented monitoring framework. This framework performs end-to-end measurements at virtual and physical machine instances, software and Web service in the Cloud. It monitors the quality of service (QoS) parameters of the IaaS and SaaS layer in the forms of plug-in bundles. In addition, we discuss the manager-agent monitoring of entity objects and aspect-oriented Cloud service monitoring in detail. All the modules constitute the entire proposed framework to improve the performance in hybrid Clouds.
Keywords :
Cloud monitoring , aspect , oriented programming , performance evaluation , Cloud computing
Journal title :
Journal of J.UCS (Journal of Universal Computer Science)
Journal title :
Journal of J.UCS (Journal of Universal Computer Science)