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. © 1997-2012 IEEE.

Gambi, A., Toffetti, G., Pautasso, C., Pezzè, M. (2013). Kriging Controllers for Cloud Applications. IEEE INTERNET COMPUTING, 17(4), 40-47 [10.1109/MIC.2012.142].

Kriging Controllers for Cloud Applications

Pezzè, Mauro
2013

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. © 1997-2012 IEEE.
Articolo in rivista - Articolo scientifico
Autonomic Cloud controllers
English
2013
17
4
40
47
none
Gambi, A., Toffetti, G., Pautasso, C., Pezzè, M. (2013). Kriging Controllers for Cloud Applications. IEEE INTERNET COMPUTING, 17(4), 40-47 [10.1109/MIC.2012.142].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/59684
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