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D. Moldovan, G. Copil, H. Truong, S. Dustdar:
"MELA: Monitoring and Analyzing Elasticity of Cloud Services";
Vortrag: IEEE 5th International Conference on Cloud Computing Technology and Science, CloudCom 2013, Bristol, United Kingdom; 02.12.2013 - 05.12.2013; in: "Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, CloudCom 2013", IEEE Computer Society, (2013), ISBN: 978-0-7695-5095-4; S. 80 - 87.

Cloud computing has enabled a wide array of applications to be exposed as elastic cloud services. While the number of such services has rapidly increased, there is a lack of techniques for supporting cross-layered multi-level monitoring and analysis of elastic service behavior. In this paper we introduce novel concepts, namely elasticity space and elasticity pathway, for understanding elasticity of cloud services, and techniques for monitoring and evaluating them. We present MELA, a customizable framework, which enables service providers and developers to analyze cross-layered, multi-level elasticity of cloud services, from the whole cloud service to service units, based on service structure dependencies. Besides support for real-time elasticity analysis of cloud service behavior, MELA provides several customizable features for extracting functions and patterns that characterize that behavior. To illustrate the usefulness of MELA, we conduct several experiments with a realistic data-as-a-service in an M2M cloud platform.

elastic computing, cloud service, elasticity monitoring, elasticity analysis

http://dx.doi.org/10.1109/CloudCom.2013.18

Projektleitung Schahram Dustdar:
Automatic Elasticity Provisioning Platform for Cloud Applications