| Energy-efficient adaptive resource management for real-time vehicular cloud services M Shojafar, N Cordeschi, E Baccarelli IEEE Transactions on Cloud Computing (Vol: 7, Issue: 1, March 2019) 7 (1 …, 2019 | 374 | 2019 |
| Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study E Baccarelli, N Cordeschi, A Mei, M Panella, M Shojafar, J Stefa IEEE network 30 (2), 54-61, 2016 | 239 | 2016 |
| FUGE: A joint meta-heuristic approach to cloud job scheduling algorithm using fuzzy theory and a genetic method M Shojafar, S Javanmardi, S Abolfazli, N Cordeschi Cluster Computing 18, 829-844, 2015 | 200 | 2015 |
| Hybrid job scheduling algorithm for cloud computing environment S Javanmardi, M Shojafar, D Amendola, N Cordeschi, H Liu, A Abraham Proceedings of the fifth international conference on innovations in bio …, 2014 | 132 | 2014 |
| Distributed and adaptive resource management in cloud-assisted cognitive radio vehicular networks with hard reliability guarantees N Cordeschi, D Amendola, M Shojafar, E Baccarelli Vehicular Communications 2 (1), 1-12, 2015 | 109 | 2015 |
| Energy-saving self-configuring networked data centers N Cordeschi, M Shojafar, E Baccarelli Computer Networks 57 (17), 3479-3491, 2013 | 81 | 2013 |
| Reliable adaptive resource management for cognitive cloud vehicular networks N Cordeschi, D Amendola, E Baccarelli IEEE Transactions on Vehicular Technology 64 (6), 2528-2537, 2014 | 78 | 2014 |
| Energy-saving adaptive computing and traffic engineering for real-time-service data centers M Shojafar, N Cordeschi, D Amendola, E Baccarelli 2015 IEEE international conference on communication workshop (ICCW), 1800-1806, 2015 | 72 | 2015 |
| Energy-efficient adaptive networked datacenters for the QoS support of real-time applications N Cordeschi, M Shojafar, D Amendola, E Baccarelli The Journal of Supercomputing 71, 448-478, 2015 | 53 | 2015 |
| Bandwidth management VMs live migration in wireless fog computing for 5G networks D Amendola, N Cordeschi, E Baccarelli 2016 5th ieee international conference on cloud networking (Cloudnet), 21-26, 2016 | 50 | 2016 |
| Stochastic traffic engineering for real-time applications over wireless networks N Cordeschi, T Patriarca, E Baccarelli Journal of Network and Computer Applications 35 (2), 681-694, 2012 | 41 | 2012 |
| Optimized power allocation for multiantenna systems impaired by multiple access interference and imperfect channel estimation E Baccarelli, M Biagi, C Pelizzoni, N Cordeschi IEEE Transactions on Vehicular Technology 56 (5), 3089-3105, 2007 | 35 | 2007 |
| Optimal self-adaptive QoS resource management in interference-affected multicast wireless networks E Baccarelli, N Cordeschi, V Polli IEEE/ACM Transactions On Networking 21 (6), 1750-1759, 2013 | 32 | 2013 |
| A new fanet simulator for managing drone networks and providing dynamic connectivity M Tropea, P Fazio, F De Rango, N Cordeschi Electronics 9 (4), 543, 2020 | 31 | 2020 |
| Optimal MIMO UWB-IR Transceiver for Nakagami-fading and Poisson-Arrivals. E Baccarelli, M Biagi, C Pelizzoni, N Cordeschi J. Commun. 3 (1), 27-40, 2008 | 30 | 2008 |
| Minimum-energy bandwidth management for QoS live migration of virtual machines E Baccarelli, D Amendola, N Cordeschi Computer Networks 93, 1-22, 2015 | 28 | 2015 |
| Adaptive energy-efficient qos-aware scheduling algorithm for tcp/ip mobile cloud M Shojafar, N Cordeschi, JH Abawajy, E Baccarelli 2015 IEEE Globecom Workshops (GC Wkshps), 1-6, 2015 | 26 | 2015 |
| Green multimedia wireless sensor networks: distributed intelligent data fusion, in-network processing, and optimized resource management E Baccarelli, F Chiti, N Cordeschi, R Fantacci, D Marabissi, R Parisi, ... IEEE wireless communications 21 (4), 20-26, 2014 | 22 | 2014 |
| Fuzzy inference system design for promoting an eco-friendly driving style in IoV domain F De Rango, M Tropea, A Serianni, N Cordeschi Vehicular Communications 34, 100415, 2022 | 21 | 2022 |
| Energy-saving QoS resource management of virtualized networked data centers for Big Data Stream Computing N Cordeschi, M Shojafar, D Amendola, E Baccarelli Big Data: Concepts, Methodologies, Tools, and Applications, 848-886, 2016 | 15 | 2016 |
enzo baccarelliuniversity la sapienza of romeVerified email at uniroma1.it
