Multi-level Elasticity Control of Cloud Services
Fine-grained elasticity control of cloud services has to deal with multiple elasticity perspectives (quality, cost, and resources). We propose a cloud services elasticity control mechanism that considers the service structure for controlling the cloud service elasticity at multiple levels, by firstly defining an abstract composition model for cloud services and enabling multi-level elasticity control. Secondly, we define mechanisms for solving conflicting elasticity requirements and generating action plans for elasticity control. Using the defined concepts and mechanisms we develop a runtime system supporting multiple levels of elasticity control and validate the resulted prototype through experiments.
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- 1.Copil, G., Moldovan, D., Truong, H.L., Dustdar, S.: SYBL: an Extensible Language for Controlling Elasticity in Cloud Applications. In: 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), pp. 112–119. IEEE Computer Society (2013)Google Scholar
- 2.Kranas, P., Anagnostopoulos, V., Menychtas, A., Varvarigou, T.: ElaaS: An Innovative Elasticity as a Service Framework for Dynamic Management across the Cloud Stack Layers. In: 2012 Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 1042–1049 (July 2012)Google Scholar
- 3.Tsoumakos, D., Konstantinou, I., Boumpouka, C., Sioutas, S., Koziris, N.: Automated, Elastic Resource Provisioning for NoSQL Clusters Using TIRAMOLA. In: 2013 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), pp. 34–41. IEEE Computer Society (2013)Google Scholar
- 6.IBM: IBM Cloud Computing Reference Architecture v3.0Google Scholar
- 7.OASIS Group: TOSCA Specification, v1.0 (2013)Google Scholar