Kriging Controllers for Cloud Applications

TitleKriging Controllers for Cloud Applications
Publication TypeJournal Article
Year of Publication2013
AuthorsGiovanni Toffetti-Carughi, Alessio Gambi, Mauro Pezzè, and Cesare Pautasso
JournalIEEE Internet Computing
Volume17
Issue4
Pages40-47
MonthJuly-August 2013
ISSN1089-7801
Keywordsautomatic control, autonomic computing, autonomic controller, cloud computing
Abstract

Infrastructure as a Service is a Cloud computing paradigm that enables service providers to execute applications on third-party infrastructures with the pay-as-you-go billing model. Service providers can balance operational costs and quality of service by monitoring the 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 events that can be predicted at design time, but have no provision for learning, hence do not react adequately to unexpected execution conditions. In this article we present a new approach for designing autonomic controllers that automatically adapt to unpredicted conditions by dynamically updating a model of the system behavior. The approach demonstrates Kriging models as a suitable means to design efficient autonomic controllers.

DOI10.1109/MIC.2012.142
Citation Keytoffetti2013IC