Resource Usage Monitoring in Clouds
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
An efficient data dissemination approach for cloud monitoring
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
A model-driven monitoring approach for Internetware on platform-as-a-service (PaaS)
Proceedings of the Fourth Asia-Pacific Symposium on Internetware
Model Based Monitoring and Controlling for Platform-as-a-Service PaaS
International Journal of Cloud Applications and Computing
Survey Cloud monitoring: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Managing multi-cloud systems with CloudMF
Proceedings of the Second Nordic Symposium on Cloud Computing & Internet Technologies
Elastic resource management for heterogeneous applications on PaaS
Proceedings of the 5th Asia-Pacific Symposium on Internetware
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Monitoring plays a significant role in improving the quality of service in cloud computing. It helps clouds to scale resource utilization adaptively, to identify defects in services for service developers, and to discover usage patterns of numerous end users. However, due to the heterogeneity of components in clouds and the complexity arising from the wealth of runtime information, monitoring in clouds faces many new challenges. In this paper, we propose a runtime model for cloud monitoring (RMCM), which denotes an intuitive representation of a running cloud by focusing on common monitoring concerns. Raw monitoring data gathered by multiple monitoring techniques are organized by RMCM to present a more intuitive profile of a running cloud. We applied RMCM in the implementation of a flexible monitoring framework, which can achieve a balance between runtime overhead and monitoring capability via adaptive management of monitoring facilities. Our experience of utilizing the monitoring framework on a real cloud demonstrates the feasibility and effectiveness of our approach.