ABSTRACT
Cloud computing brings new opportunities while performing the service provisioning, i.e. the capability of acquiring and releasing resources on demand. In fact, the cloud providers offer the not trivial task of migrating services, as well as allocating and reallocating resources from their offered infrastructure. In literature software performance antipatterns are well-known bad design practices that lead to software systems suffering by poor performance. This talk is aimed at illustrating how software performance antipatterns can be used to enhance the capabilities of managing services in cloud environments. Specifically, the status of the underlying cloud infrastructure is monitored in order to detect performance antipatterns, that, once solved, provide mitigation guidelines to improve system performance.

BIOGRAPHY
Catia Trubiani is a Post-doc Researcher in Computer Science at the Gran Sasso Science Institute, L'Aquila (AQ), Italy, since April 2014. She received the Ph.D. in Computer Science at the University of L'Aquila in April 2011 with a dissertation on the automated generation of architectural feedback from software performance analysis results. During the Ph.D. program she collaborated with the Imperial College of London and the Karlsruhe Institute of Technology. Previously she worked at the Electronic Engineering Department of University of Rome "Tor Vergata" within the framework of the Simple Mobile Services EU FP7 project. She is currently involved in the VISION ERC Starting grant FP7 and CRAFTERS Artemis project.

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