Matteo Nardelli
Matteo Nardelli
Research Associate, University of Rome Tor Vergata
Bestätigte E-Mail-Adresse bei ing.uniroma2.it - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Towards QoS-aware Fog Service Placement
O Skarlat, M Nardelli, S Schulte, S Dustdar
IEEE International Conference on Fog and Edge Computing (ICFEC 2017), 2017
1612017
Optimized IoT service placement in the fog
O Skarlat, M Nardelli, S Schulte, M Borkowski, P Leitner
Service Oriented Computing and Applications 11 (4), 427-443, 2017
1452017
Optimal operator placement for distributed stream processing applications
V Cardellini, V Grassi, F Lo Presti, M Nardelli
Proceedings of the 10th ACM International Conference on Distributed and …, 2016
1292016
Distributed QoS-aware scheduling in Storm
V Cardellini, V Grassi, F Lo Presti, M Nardelli
Proceedings of the 9th ACM International Conference on Distributed Event …, 2015
872015
On QoS-aware Scheduling of Data Stream Applications over Fog Computing Infrastructures
V Cardellini, V Grassi, F Lo Presti, M Nardelli
5th International Workshop on Management of Cloud and Smart City Systems …, 2015
862015
Optimal operator replication and placement for distributed stream processing systems
V Cardellini, V Grassi, F Lo Presti, M Nardelli
ACM SIGMETRICS Performance Evaluation Review 44 (4), 11-22, 2017
492017
Osmotic flow: Osmotic computing+ iot workflow
M Nardelli, S Nastic, S Dustdar, M Villari, R Ranjan
IEEE Cloud Computing 4 (2), 68-75, 2017
412017
Elastic provisioning of virtual machines for container deployment
M Nardelli, C Hochreiner, S Schulte
Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017
392017
Elastic Stateful Stream Processing in Storm
V Cardellini, M Nardelli, D Luzi
2016 International Conference on High Performance Computing & Simulation …, 2016
352016
Decentralized self-adaptation for elastic Data Stream Processing
V Cardellini, F Lo Presti, M Nardelli, G Russo Russo
Future Generation Computer Systems 87, 171-185, 2018
342018
Optimal Operator Deployment and Replication for Elastic Distributed Data Stream Processing
V Cardellini, F Lo Presti, M Nardelli, G Russo Russo
Concurrency and Computation: Practice and Experience, 2017
322017
Event-based failure prediction in distributed business processes
M Borkowski, W Fdhila, M Nardelli, S Rinderle-Ma, S Schulte
Information Systems 81, 220-235, 2019
292019
Horizontal and vertical scaling of container-based applications using reinforcement learning
F Rossi, M Nardelli, V Cardellini
2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 329-338, 2019
212019
Multi-level elastic deployment of containerized applications in geo-distributed environments
M Nardelli, V Cardellini, E Casalicchio
2018 IEEE 6th International Conference on Future Internet of Things and …, 2018
182018
Efficient operator placement for distributed data stream processing applications
M Nardelli, V Cardellini, V Grassi, FL Presti
IEEE Transactions on Parallel and Distributed Systems 30 (8), 1753-1767, 2019
162019
Multi-level elasticity for wide-area data streaming systems: A reinforcement learning approach
G Russo Russo, M Nardelli, V Cardellini, F Lo Presti
Algorithms 11 (9), 134, 2018
132018
Geo-distributed efficient deployment of containers with Kubernetes
F Rossi, V Cardellini, FL Presti, M Nardelli
Computer Communications, 2020
82020
Qos-based elasticity for service chains in distributed edge cloud environments
V Cardellini, TG Grbac, M Nardelli, N Tanković, HL Truong
Autonomous Control for a Reliable Internet of Services, 182-211, 2018
82018
Towards Hierarchical Autonomous Control for Elastic Data Stream Processing in the Fog
V Cardellini, F Lo Presti, M Nardelli, G Russo Russo
European Conference on Parallel Processing, 106-117, 2017
82017
Optimal placement of stream processing operators in the fog
T Hiessl, V Karagiannis, C Hochreiner, S Schulte, M Nardelli
2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC), 1-10, 2019
72019
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20