Politecnicodi Milano (POLIMI) is one of the Technical Universities in Italy. It was established in 1863 and is ranked as one of the most outstanding European universities in Engineering, Architecture and Industrial Design. POLIMI participates in this project through members of Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), working within the DEpendable Evolvable Pervasive Software Engineering (DEEP- SE), Performance Evaluation, and Information Systems groups.
DEEP-SE has been ranked among the internationally excellent groups in the software engineering area by a recent international peer review (Ren, J. and Taylor, R.N. 2007. Automatic and versatile publications ranking for research institutions and scholars. Commun.ACM 50, 6 (Jun.2007), 81-85.). The research activity of the DEEP-SE group focuses on techniques, tools, and frameworks for the development and runtime management of complex software systems. It encompasses a variety of aspects of such systems, ranging from modelling and analysis issues in the early phases of their development, to issues related to their implementation and runtime management, self-adaptation, and optimisation.
Role in the project
POLIMI has been and is involved in many projects in the software engineering research area, in some cases in collaboration with the CEFRIEL research centre (the DEIB technology transfer institute). Among others, we can mention: Q-IMPRESS on defining novel Model Driven methods to design and evolve service oriented software with predictable end-to-end quality; furthermore, the DEEP-SE group, since October 2012 is the coordinator of the MODAClouds project developing Model-Driven methodologies and tools for the design of multi-cloud applications with QoS guarantees. Within this project, many years of experience in the runtime management of large software systems has been capitalised and further enriched. Among the others, resource allocation, admission control and load balancing problems arising in the Cloud have been thoroughly studied and advanced DevOps tools have been developed. Moreover, a Model-Driven approach to deploy, monitor and manage Cloud applications has been devised and implemented. Since February 2015 POLIMI participates to also to the H2020 DICE that proposes a DevOps approach to design Data intensive applications to be deployed in private and public Clouds. In this recently started project, POLIMI will employ its expertise on modelling and performing the assessment of Big Data applications, with particular emphasis on resource capacity planning and energy management.