@article {toffetti2013IC,
	title = {Kriging Controllers for Cloud Applications},
	journal = {IEEE Internet Computing},
	volume = {17},
	year = {2013},
	month = {July-August 2013},
	pages = {40-47},
	publisher = {IEEE},
	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.},
	keywords = {automatic control, autonomic computing, autonomic controller, cloud computing},
	issn = {1089-7801},
	doi = {10.1109/MIC.2012.142},
	author = {Giovanni Toffetti-Carughi and Alessio Gambi and Mauro Pezz{\`e} and Cesare Pautasso}
}
@inproceedings {restbpm:2013:pesos,
	title = {RESTful Business Process Management in the Cloud},
	year = {2013},
	month = {May},
	address = {San Francisco, CA, USA},
	abstract = {As more and more business processes are migrated into cloud-based runtimes, there is a need to manage their state to provide support for quality attributes such as elasticity, scalability and dependability. In this paper we discuss how the REST architectural style provides a sensible choice to manage and publish service compositions under the Platform as a Service paradigm. We define the design principles of RESTful business process management in the cloud and compare several architectural alternatives to support elastic processes which can be monitored and dynamically adapted to workload changes.},
	keywords = {business process management, cloud computing, REST, RESTful business process management},
	author = {Alessio Gambi and Cesare Pautasso}
}
@conference {jopera:2010:icwe,
	title = {Engineering autonomic controllers for virtualized web applications},
	booktitle = {10th international conference on Web engineering (ICWE 2010)},
	series = {ICWE{\textquoteright}10},
	volume = {6189},
	year = {2010},
	note = {Best Paper Award},
	month = {July},
	pages = {66{\textendash}80},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin, Heidelberg},
	keywords = {autonomic computing, cloud computing, control system synthesis, JOpera},
	isbn = {3-642-13910-8, 978-3-642-13910-9},
	doi = {10.1007/978-3-642-13911-6_5},
	author = {Giovanni Toffetti-Carughi and Alessio Gambi and Mauro Pezz{\`e} and Cesare Pautasso}
}
