Riccardo Lancellotti
Cited by
Cited by
Adaptive computing-plus-communication optimization framework for multimedia processing in cloud systems
M Shojafar, C Canali, R Lancellotti, J Abawajy
IEEE Transactions on Cloud Computing 8 (4), 1162-1175, 2016
Performance evolution of mobile web-based services
C Canali, M Colajanni, R Lancellotti
IEEE Internet Computing 13 (2), 60-68, 2009
Big data over SmartGrid-a fog computing perspective
PGV Naranjo, M Shojafar, L Vaca-Cardenas, C Canali, R Lancellotti, ...
Proceedings of the 24th international conference on software …, 2016
Improving scalability of cloud monitoring through PCA-based clustering of virtual machines
C Canali, R Lancellotti
Journal of Computer Science and Technology 29 (1), 38-52, 2014
Automated clustering of VMs for scalable cloud monitoring and management
C Canali, R Lancellotti
SoftCOM 2012, 20th International Conference on Software, Telecommunications …, 2012
Joint minimization of the energy costs from computing, data transmission, and migrations in cloud data centers
C Canali, L Chiaraviglio, R Lancellotti, M Shojafar
IEEE Transactions on Green Communications and Networking 2 (2), 580-595, 2018
Automatic virtual machine clustering based on Bhattacharyya distance for multi-cloud systems
C Canali, R Lancellotti
Proceedings of the 2013 international workshop on Multi-cloud applications …, 2013
GASP: genetic algorithms for service placement in fog computing systems
C Canali, R Lancellotti
Algorithms 12 (10), 201, 2019
An approach to balance maintenance costs and electricity consumption in cloud data centers
L Chiaraviglio, F D'Andreagiovanni, R Lancellotti, M Shojafar, ...
IEEE Transactions on Sustainable Computing 3 (4), 274-288, 2018
Cooperative architectures and algorithms for discovery and transcoding of multi-version content
C Canali, V Cardellini, M Colajanni, R Lancellotti, SY Philip
Web Content Caching and Distribution, 205-221, 2004
Content adaptation architectures based on squid proxy server
C Canali, V Cardellini, R Lancellotti
World Wide Web 9 (1), 63-92, 2006
Exploiting classes of virtual machines for scalable IaaS cloud management
C Canali, R Lancellotti
2015 IEEE Fourth Symposium on Network Cloud Computing and Applications (NCCA …, 2015
Exploiting ensemble techniques for automatic virtual machine clustering in cloud systems
C Canali, R Lancellotti
Automated Software Engineering 21 (3), 319-344, 2014
A quantitative methodology based on component analysis to identify key users in social networks
C Canali, R Lancellotti
International Journal of Social Network Mining 1 (1), 27-50, 2012
Analysis of peer-to-peer systems: workload characterization and effects on traffic cacheability
M Andreolini, R Lancellotti, PS Yu
The IEEE Computer Society's 12th Annual International Symposium on Modeling …, 2004
Automated clustering of virtual machines based on correlation of resource usage
C Canali, R Lancellotti
Journal of Communications Software and Systems 8 (4), 102-109, 2012
Characteristics and evolution of content popularity and user relations in social networks
C Canali, M Colajanni, R Lancellotti
The IEEE symposium on Computers and Communications, 750-756, 2010
Scalable and automatic virtual machines placement based on behavioral similarities
C Canali, R Lancellotti
Computing 99 (6), 575-595, 2017
Minimizing computing-plus-communication energy consumptions in virtualized networked data centers
M Shojafar, C Canali, R Lancellotti, E Baccarelli
2016 IEEE Symposium on Computers and Communication (ISCC), 1137-1144, 2016
A receding horizon approach for the runtime management of iaas cloud systems
D Ardagna, M Ciavotta, R Lancellotti
2014 16th International Symposium on Symbolic and Numeric Algorithms for …, 2014
The system can't perform the operation now. Try again later.
Articles 1–20