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Issue No. 04 - July-Aug. (2013 vol. 17)
ISSN: 1089-7801
pp: 40-47
Mauro Pezze , University of Milano Bicocca, Italy
Cesare Pautasso , University of Lugano, Switzerland
Giovanni Toffetti , IBM Haifa
Alessio Gambi , Technical University of Vienna, Austria
ABSTRACT
The infrastructure-as-a-service paradigm for cloud computing lets service providers execute applications on third-party infrastructures with a pay-as-you-go billing model. Providers can balance operational costs and quality of service by monitoring application behavior and changing the deployed configuration at runtime as operating conditions change. Current approaches for automatically scaling cloud applications exploit user-defined rules that respond well to predictable events but don't react adequately to unexpected execution conditions. The authors' autonomic controllers, designed using Kriging models, automatically adapt to unpredicted conditions by dynamically updating a model of the system's behavior.
INDEX TERMS
Computational modeling, Quality of service, Cloud computing, Data models, Service-oriented architecture, Analytical models, Internet, Elasticity, elasticity, cloud computing, infrastructure as a service, IaaS, autonomic controllers, Kriging models, self-adaptive controllers
CITATION
Mauro Pezze, Cesare Pautasso, Giovanni Toffetti, Alessio Gambi, "Kriging Controllers for Cloud Applications", IEEE Internet Computing, vol. 17, no. , pp. 40-47, July-Aug. 2013, doi:10.1109/MIC.2012.142
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