Prof. Giacomo Cabri
Modena and Reggio Emilia University
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Academic Career Length
29Years (1998-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 January 2000 in IEEE Internet Computing
Journal Article
1 December 2021 in Computers in Industry
Journal Article
KHKarl Hribernik
Karl HribernikGiacomo CabriFMFederica Mandreoli
Federica Mandreoli
Gregoris Mentzas1 September 2019 in Journal of Industrial Information Integration
Journal Article
NBNicola Bicocchi
Nicola Bicocchi
Giacomo CabriFMFederica Mandreoli
Federica Mandreoli
Massimo Mecella1 October 2011
Conference Paper
FZFranco Zambonelli
Franco ZambonelliNBNicola Bicocchi
Nicola BicocchiGiacomo CabriLLLetizia Leonardi
Letizia LeonardiMPMariachiara Puviani
Mariachiara PuvianiSoftware systems operating in open-ended and unpredictable environments have to become autonomic, i.e., capable of dynamically adapting their behavior in response to changing situations. To this end, key research issues include: (i) framing the schemes that can facilitate components (or ensembles of) to exhibit self-adaptive behaviors, (ii) identifying mechanisms to enable components or ensembles to self-express the most suitable adaptation scheme, and (iii) acquiring the proper degree of self-awareness to enable putting in action self-adaptation and self-expression schemes. In this position paper, with the help of a representative case study, we frame and discuss the above issues, survey the state of the art in the area, and sketch the main research challenges that will be faced in the ASCENS project towards the definition of a fully-fledged framework for autonomic services.
1 January 1998
Book Chapter
1 May 2011
Conference Paper
Giacomo CabriMPMariachiara Puviani
Mariachiara PuvianiFZFranco Zambonelli
Franco ZambonelliServices are increasingly becoming the building block of today's distributed systems. However, to support the development of robust complex applications made up of ensembles of cooperating service components and to promote autonomic features, adaptive collaboration patterns among components have to be enforced. In this paper, we introduce a taxonomy of adaptive agent-based collaboration patterns, for their analysis and exploitation in the area of autonomic service ensembles. The preliminary proposed taxonomy has two main advantages: (i) it enables the reuse of existing experience from the agents' world in the area of autonomic service systems, and (ii) it can provide useful suggestions to designer for the choice of the most suitable patterns.
About Me
Giacomo Cabri is Full Professor at the Department of Physics, Informatics and Mathematics (FIM) of the University of Modena and Reggio Emilia, Italy. He received his Master's degree in Computer Engineering from the University of Bologna, cum laude. He completed his PhD studies in Information Engineering at the University of Modena and Reggio Emilia. He is the Rector's delegate for teaching. He teaches basic and advanced computer science courses for the Bachelor's and Master's Computer Science programs. He has been the supervisor of five PhD students. He was WP leader and local leader for three international projects (AWARE, FoCAS, FIRST), and has been involved in national and local projects. He has published around 190 papers in various journals and conference proceedings, and serves as a senior member for IEEE and ACM. His research interests include engineering of software agents, autonomic computing, distributed applications, and digital twins.