| Nome |
# |
|
Network Traffic Prediction based on Diffusion Convolutional Recurrent Neural Networks, file e0c31c0d-1339-4599-e053-1705fe0aef77
|
2.639
|
|
SD-WAN: An Open-Source Implementation for Enterprise Networking Services, file e0c31c0f-eb05-4599-e053-1705fe0aef77
|
2.475
|
|
On Deep Reinforcement Learning for Traffic Engineering in SD-WAN, file e0c31c10-42aa-4599-e053-1705fe0aef77
|
1.774
|
|
Deep Learning-based Traffic Prediction for Network Optimization, file e0c31c0c-9c64-4599-e053-1705fe0aef77
|
992
|
|
Machine-Learning-Assisted Routing in SDN-based Optical Networks, file e0c31c0c-5a1f-4599-e053-1705fe0aef77
|
862
|
|
Comprehensive survey on T-SDN: software-defined networking for transport networks, file e0c31c0f-59a9-4599-e053-1705fe0aef77
|
834
|
|
SD-WAN: how the control of the network can be shifted from core to edge, file e0c31c11-f8f5-4599-e053-1705fe0aef77
|
491
|
|
Is Machine Learning Suitable for Solving RWA Problems in Optical Networks?, file e0c31c0c-70e0-4599-e053-1705fe0aef77
|
380
|
|
Can open flow make transport networks smarter and dynamic? An overview on transport SDN, file e0c31c08-8316-4599-e053-1705fe0aef77
|
324
|
|
Performance Evaluation of Overlay Networking for delay-sensitive services in SD-WAN, file e0c31c12-2073-4599-e053-1705fe0aef77
|
303
|
|
Dynamic Virtual Network Function Placement over a Software-Defined Optical Network, file e0c31c0c-dd96-4599-e053-1705fe0aef77
|
287
|
|
SENATUS: an experimental SDN/NFV Orchestrator, file e0c31c0d-1337-4599-e053-1705fe0aef77
|
285
|
|
On the Network Slicing for Enterprise Services with Hybrid SDN, file e0c31c10-335d-4599-e053-1705fe0aef77
|
271
|
|
Enabling multipath optical routing with hybrid differential delay compensation, file e0c31c0c-9c65-4599-e053-1705fe0aef77
|
258
|
|
Identification of tidal-traffic patterns in metro-area mobile networks via matrix factorization based model, file e0c31c0e-d551-4599-e053-1705fe0aef77
|
253
|
|
Traffic-Profile and Machine Learning Based Regional Data Center Design and Operation for 5G Network, file e0c31c0e-9153-4599-e053-1705fe0aef77
|
249
|
|
Matheuristic with machine-learning-based prediction for software-defined mobile metro-core networks, file e0c31c0f-a1c3-4599-e053-1705fe0aef77
|
185
|
|
Reinforcement Learning for Service Function Chain Reconfiguration in NFV-SDN Metro-Core Optical Networks, file e0c31c0f-1917-4599-e053-1705fe0aef77
|
172
|
|
Reconfiguration of VNF Placement in an Optical Metro Network by a Modular Planning Tool, file e0c31c0f-48f6-4599-e053-1705fe0aef77
|
169
|
|
Optical Backplane Based on Ring-Resonators: Scalability and Performance Analysis for 10Gb/s OOK-NRZ, file e0c31c09-f0d8-4599-e053-1705fe0aef77
|
137
|
|
Experimental Demonstration and Results of Cross-layer Monitoring Using OpenNOP: an Open Source Network Observability Platform, file 82c741f4-98b6-46ae-951a-38aaf09e7c25
|
102
|
|
Performance Characterization and Profiling of Chained CPU-bound Virtual Network Functions, file 2b4a64c2-fcf4-4e77-9f6e-5929e46ebee5
|
87
|
|
Inter-controller Traffic to Support Consistency in ONOS Clusters, file e0c31c0f-4cb8-4599-e053-1705fe0aef77
|
84
|
|
Assessing the scalability of next-generation wavelength switched optical networks, file e0c31c0d-b1d3-4599-e053-1705fe0aef77
|
71
|
|
Enhancing cross layer monitoring on open optical transport networks, file a9a2381f-cc9e-4916-8a73-657691cfd46e
|
68
|
|
Modular architectures of multistage switching networks, file e0c31c0d-4fed-4599-e053-1705fe0aef77
|
62
|
|
Multi-stage switching networks for waveguide optical technology, file e0c31c08-8887-4599-e053-1705fe0aef77
|
50
|
|
Multi-stage switching networks for waveguide optical technology, file e0c31c0e-7f86-4599-e053-1705fe0aef77
|
44
|
|
Energy efficient dynamic optical routing for mobile metro-core networks under tidal traffic patterns, file e0c31c11-75bd-4599-e053-1705fe0aef77
|
31
|
|
Techniques and benefits of energy-aware load-distribution in multi-domain translucent wavelength switched optical networks, file e0c31c0d-cc42-4599-e053-1705fe0aef77
|
29
|
|
Power-efficient baseband-function placement in latency-constrained 5G metro access, file e0c31c12-58e2-4599-e053-1705fe0aef77
|
22
|
|
Admission Control and Virtual Network Embedding in 5G Networks: A Deep Reinforcement-Learning Approach, file e0c31c12-7608-4599-e053-1705fe0aef77
|
21
|
|
Differential delay constrained multipath routing for SDN and optical networks, file e0c31c0c-1df6-4599-e053-1705fe0aef77
|
11
|
|
The RESTART project: RESearch and innovation on future Telecommunications systems and networks, to make Italy more “smART", file 570a5e16-6bd6-498c-b859-79d85a1a3ac8
|
8
|
|
Energy efficient dynamic optical routing for mobile metro-core networks under tidal traffic patterns, file e0c31c0b-db1a-4599-e053-1705fe0aef77
|
7
|
|
Matheuristic with machine-learning-based prediction for software-defined mobile metro-core networks, file e0c31c0b-db1c-4599-e053-1705fe0aef77
|
5
|
|
Inter-controller Traffic to Support Consistency in ONOS Clusters, file e0c31c0b-f59b-4599-e053-1705fe0aef77
|
5
|
|
Comprehensive survey on T-SDN: software-defined networking for transport networks, file e0c31c0b-fc00-4599-e053-1705fe0aef77
|
5
|
|
Experimental Evaluation of SD-WAN Performance in a Municipal Network Test Bed, file 5b020316-739e-4446-99c5-534a9b40f866
|
4
|
|
Modular architectures of multistage switching networks, file e0c31c08-82b2-4599-e053-1705fe0aef77
|
3
|
|
Machine Learning-Based Routing and Wavelength Assignment in Software-Defined Optical Networks, file e0c31c0e-53d0-4599-e053-1705fe0aef77
|
3
|
|
AWG-Based Nonblocking Shuffle-Exchange Networks, file e0c31c10-313e-4599-e053-1705fe0aef77
|
3
|
|
Baseband-Function Placement with Multi-Task Traffic Prediction for 5G Radio Access Networks, file b36d4a60-c343-4077-8421-36d36bbcb831
|
2
|
|
Assessing the scalability of next-generation wavelength switched optical networks, file e0c31c08-82b3-4599-e053-1705fe0aef77
|
2
|
|
Techniques and benefits of energy-aware load-distribution in multi-domain translucent wavelength switched optical networks, file e0c31c08-8b4e-4599-e053-1705fe0aef77
|
2
|
|
FTTx/VDSL2-Vectoring: prestazioni in una rete di accesso a banda ultra larga multi operatore, file e0c31c0a-d913-4599-e053-1705fe0aef77
|
2
|
|
Demonstration of SDN-based orchestration for multi-domain Segment Routing networks, file e0c31c0c-12c5-4599-e053-1705fe0aef77
|
2
|
|
OPTICAL APPARATUS FOR SELECTING A PREDETERMINATED ITEM OF INFORMATION FROM A COHERENT OPTICAL SIGNAL, file e0c31c07-cbb0-4599-e053-1705fe0aef77
|
1
|
|
Static WDM network planning with TDM channel partitioning, file e0c31c08-0211-4599-e053-1705fe0aef77
|
1
|
|
Performance of translucent optical networks under dynamic traffic and uncertain physical-layer information, file e0c31c08-357c-4599-e053-1705fe0aef77
|
1
|
|
OpenFlow based Software Defined Optical Networking, file e0c31c08-c852-4599-e053-1705fe0aef77
|
1
|
|
Differential delay constrained multipath routing for SDN and optical networks, file e0c31c08-cc88-4599-e053-1705fe0aef77
|
1
|
|
Multi-stage switching networks for waveguide optical technology, file e0c31c09-8029-4599-e053-1705fe0aef77
|
1
|
|
Multipath optical routing with compact fiber delay line-based differential delay compensation, file e0c31c0b-e2fa-4599-e053-1705fe0aef77
|
1
|
|
Network Orchestration for Dynamic Network Slicing for Fixed and Mobile Vertical Services, file e0c31c0c-1a5a-4599-e053-1705fe0aef77
|
1
|
|
Machine-Learning-Based Prediction and Optimization of Mobile Metro-Core Networks, file e0c31c0c-456f-4599-e053-1705fe0aef77
|
1
|
|
Power-aware optimization of baseband-function placement in cloud radio access networks, file e0c31c0f-bc00-4599-e053-1705fe0aef77
|
1
|
| Totale |
14.085 |