| Author |
Session |
Start page |
Title |
| A A B C D E F G H J K L M N P Q R S T V W Y Z |
| Abhishek, Rohit |
PS2.8 |
263 |
BuDDI: Bug Detection, Debugging, and Isolation Middlebox for Software-Defined Network Controllers |
| Abt, Sebastian |
TS3.2 |
183 |
Correlating Network Events and Transferring Labels in the Presence of IP Address Anonymisation |
| Aeron, Shuchin |
PS1.9 |
165 |
Inferring Smartphone Service Quality using Tensor Methods |
| Aggarwal, Vaneet |
PS1.9 |
165 |
Inferring Smartphone Service Quality using Tensor Methods |
| Aguilar-Fuster, Christian |
WS1-1.3 |
324 |
A Virtual Network Migration Approach and Analysis for Enhanced Online Virtual Network Embedding |
| Ahmed, Reaz |
MC1.3 |
15 |
Emulating an Infrastructure with EASE |
| TS1.3 |
89 |
ReNoVatE: Recovery from Node Failure in Virtual Network Embedding |
| Ahmed, Toufik |
TS2.1 |
98 |
SWAN: Base-Band Units Placement over Reconfigurable Wireless Front-Hauls |
| Al-Shaer, Ehab |
PS1.1 |
125 |
Optimizing the RoI of Cyber Risk Mitigation |
| Ali-Tolppa, Janne |
TS2.3 |
116 |
A Steiner Tree-Based Verification Approach for Handling Topology Changes in Self-Organizing Networks |
| PS1.3 |
135 |
Fluid Capacity for Energy Saving Management in Multi-Layer Ultra-Dense 4G/5G Cellular Networks |
| Alsaleh, Mohammed Noraden |
PS1.1 |
125 |
Optimizing the RoI of Cyber Risk Mitigation |
| Amannejad, Yasaman |
TS3.3 |
192 |
Predicting Web Service Response Time Percentiles |
| Amza, Cristiana |
PS2.3 |
238 |
Online Characterization of Buggy Applications Running on the Cloud |
| Applegate, David |
TS2.2 |
107 |
Quantifying the Service Performance Impact of Self-Organizing Network Actions |
| Aranda Gutiérrez, Pedro |
MC3.2 |
57 |
Reusability of Software-Defined Networking Applications: A Runtime, Multi-Controller Approach |
| Artan, Nabi Sertac |
WS2-2.1 |
365 |
Driver Identification and Authentication with Active Behavior Modeling |
| Assi, Chadi |
MC1.1 |
1 |
Reliability-Aware Service Provisioning in NFV-enabled Enterprise Datacenter Networks |
| Atrey, Ankita |
MC3.3 |
64 |
BRAHMA: An Intelligent Framework for Automated Scaling of Streaming and Deadline-critical Workflows |
| B A B C D E F G H J K L M N P Q R S T V W Y Z |
| Badonnel, Remi |
TS6.1 |
286 |
Detecting Version Number Attacks in RPL-based Networks using a Distributed Monitoring Architecture |
| Bai, Kun |
PS1.6 |
150 |
Identifying Resources for Cloud Garbage Collection |
| Baier, Harald |
TS3.2 |
183 |
Correlating Network Events and Transferring Labels in the Presence of IP Address Anonymisation |
| Bajpai, Vaibhav |
MC2.2 |
29 |
Measuring Web Similarity from Dual-stacked Hosts |
| Bannazadeh, Hadi |
PS1.5 |
145 |
Graph-based diagnosis in Software-Defined Infrastructure |
| WS1-1.1 |
312 |
Enhanced Real Time Content Delivery using vCPE and NFV Service Chaining |
| Bari, Md. Faizul |
MC1.3 |
15 |
Emulating an Infrastructure with EASE |
| Barna, Cornel |
TS6.2 |
295 |
CAAMP: Completely Automated DDoS Attack Mitigation Platform in Hybrid Clouds |
| Bartoš, Václav |
MC2.4 |
43 |
NEMEA: A Framework for Network Traffic Analysis |
| Begin, Thomas |
WS1-2.2 |
353 |
Evaluation of an End-to-End Delay Estimation in the Case of Multiple Flows in SDN Networks |
| Beigi, Nasim |
TS6.2 |
295 |
CAAMP: Completely Automated DDoS Attack Mitigation Platform in Hybrid Clouds |
| Bertin, Emmanuel |
WS1-1.2 |
318 |
On-demand, Dynamic and at-the-Edge VNF Deployment Model Application to Web Real-Time Communications |
| Bhattacharyya, Arnamoy |
PS2.3 |
238 |
Online Characterization of Buggy Applications Running on the Cloud |
| Blendin, Jeremias |
TS5.2 |
277 |
Enabling Efficient Multi-Layer Repair in Elastic Optical Networks by Gradually Superimposing SDN |
| Blenk, Andreas |
TS1.2 |
80 |
Boost Online Virtual Network Embedding: Using Neural Networks for Admission Control |
| Boubendir, Amina |
WS1-1.2 |
318 |
On-demand, Dynamic and at-the-Edge VNF Deployment Model Application to Web Real-Time Communications |
| Boutaba, Raouf |
MC1.3 |
15 |
Emulating an Infrastructure with EASE |
| TS1.1 |
71 |
A Connectionist Approach to Dynamic Resource Management for Virtualised Network Functions |
| TS1.3 |
89 |
ReNoVatE: Recovery from Node Failure in Virtual Network Embedding |
| Bouten, Niels |
TS4.1 |
201 |
Dynamic Server Selection Strategy for Multi-server HTTP Adaptive Streaming Services |
| TS4.3 |
219 |
Deadline-aware TCP Congestion Control for Video Streaming Services |
| Bradai, Abbas |
TS2.1 |
98 |
SWAN: Base-Band Units Placement over Reconfigurable Wireless Front-Hauls |
| Bumgardner, Cody |
WS2-2.3 |
377 |
Cresco: A distributed agent-based edge computing framework |
| Burton, Angela |
WS2-2.1 |
365 |
Driver Identification and Authentication with Active Behavior Modeling |
| Busson, Anthony |
WS1-2.2 |
353 |
Evaluation of an End-to-End Delay Estimation in the Case of Multiple Flows in SDN Networks |
| C A B C D E F G H J K L M N P Q R S T V W Y Z |
| Carle, Georg |
TS2.3 |
116 |
A Steiner Tree-Based Verification Approach for Handling Topology Changes in Self-Organizing Networks |
| Cejka, Tomas |
MC2.4 |
43 |
NEMEA: A Framework for Network Traffic Analysis |
| PS2.5 |
248 |
Building a Feedback Loop to Capture Evidence of Network Incidents |
| Cheng, Yihang |
WS2-2.2 |
371 |
An Improved Markov Method for Prediction of User Mobility |
| Cheriet, Mohamed |
PS2.1 |
228 |
Let's Adapt to Network Change: Towards Energy Saving with Rate Adaptation in SDN |
| PS2.2 |
233 |
A Traffic Visualization Framework for Monitoring Large-scale Inter- DataCenter Network |
| WS2-1.3 |
342 |
The Green Sustainable Telco Cloud: Minimizing greenhouse gas emissions of server load migrations between distributed data centres |
| WS2-2.4 |
383 |
Monitoring and Measurement System for Green Operation of Geographically Distributed ICT Services |
| WS1-P.3 |
397 |
Dynamic Resource Allocation of Smart Home workloads in the Cloud |
| Choi, Baek-Young |
PS2.8 |
263 |
BuDDI: Bug Detection, Debugging, and Isolation Middlebox for Software-Defined Network Controllers |
| Chowdhury, Shihabur |
MC1.3 |
15 |
Emulating an Infrastructure with EASE |
| TS1.3 |
89 |
ReNoVatE: Recovery from Node Failure in Virtual Network Embedding |
| Chrisment, Isabelle |
TS6.1 |
286 |
Detecting Version Number Attacks in RPL-based Networks using a Distributed Monitoring Architecture |
| Ciocarlie, Gabriela |
PS1.2 |
130 |
Diagnosis Cloud: Sharing Knowledge Across Cellular Networks |
| Claeys, Maxim |
PS1.7 |
155 |
Energy-aware quality adaptation for mobile video streaming |
| TS4.1 |
201 |
Dynamic Server Selection Strategy for Multi-server HTTP Adaptive Streaming Services |
| TS4.3 |
219 |
Deadline-aware TCP Congestion Control for Video Streaming Services |
| Connolly, Christopher |
PS1.2 |
130 |
Diagnosis Cloud: Sharing Knowledge Across Cellular Networks |
| Corbett, Cherita |
PS1.2 |
130 |
Diagnosis Cloud: Sharing Knowledge Across Cellular Networks |
| Crawford, Sam |
MC2.2 |
29 |
Measuring Web Similarity from Dual-stacked Hosts |
| D A B C D E F G H J K L M N P Q R S T V W Y Z |
| Dandres, Thomas |
WS2-1.3 |
342 |
The Green Sustainable Telco Cloud: Minimizing greenhouse gas emissions of server load migrations between distributed data centres |
| WS2-2.4 |
383 |
Monitoring and Measurement System for Green Operation of Geographically Distributed ICT Services |
| Davy, Alan |
TS1.1 |
71 |
A Connectionist Approach to Dynamic Resource Management for Virtualised Network Functions |
| WS1-2.3 |
359 |
QoS-aware Multipathing in Datacenters Using Effective Bandwidth Estimation and SDN |
| Davy, Steven |
TS1.1 |
71 |
A Connectionist Approach to Dynamic Resource Management for Virtualised Network Functions |
| De Schepper, Koen |
TS4.3 |
219 |
Deadline-aware TCP Congestion Control for Video Streaming Services |
| De Turck, Filip |
MC3.3 |
64 |
BRAHMA: An Intelligent Framework for Automated Scaling of Streaming and Deadline-critical Workflows |
| PS1.7 |
155 |
Energy-aware quality adaptation for mobile video streaming |
| TS4.1 |
201 |
Dynamic Server Selection Strategy for Multi-server HTTP Adaptive Streaming Services |
| TS4.3 |
219 |
Deadline-aware TCP Congestion Control for Video Streaming Services |
| De Vleeschauwer, Danny |
TS4.3 |
219 |
Deadline-aware TCP Congestion Control for Video Streaming Services |
| de Vries, Joey |
TS6.3 |
303 |
Booter Blacklist: Unveiling DDoS-for-hire Websites |
| Dias de Assuncao, Marcos |
PS1.4 |
140 |
On the Impact of Advance Reservations for Energy-Aware Provisioning of Bare-Metal Cloud Resources |
| Diaz, Gladys |
WS1-P.2 |
|
Network Service Description for Virtual Network Deployment: A constraints based OVF extension proposal |
| Doriguzzi-Corin, Roberto |
MC3.2 |
57 |
Reusability of Software-Defined Networking Applications: A Runtime, Multi-Controller Approach |
| Drago, Idilio |
MC2.1 |
22 |
The Curious Case of Parallel Connections in HTTP/2 |
| E A B C D E F G H J K L M N P Q R S T V W Y Z |
| Elbaham, Meryem |
PS2.2 |
233 |
A Traffic Visualization Framework for Monitoring Large-scale Inter- DataCenter Network |
| F A B C D E F G H J K L M N P Q R S T V W Y Z |
| Far, Behrouz |
TS3.3 |
192 |
Predicting Web Service Response Time Percentiles |
| Farrahi Moghaddam, Reza |
WS2-1.3 |
342 |
The Green Sustainable Telco Cloud: Minimizing greenhouse gas emissions of server load migrations between distributed data centres |
| Feng, Lei |
WS2-1.2 |
336 |
A Routing Optimization Method based on Risk Prediction for Communication Services in Smart Grid |
| Fung, Carol |
MC1.2 |
8 |
CoFence: A Collaborative DDoS Defence Using Network Function Virtualization |
| G A B C D E F G H J K L M N P Q R S T V W Y Z |
| Gajic, Borislava |
PS1.2 |
130 |
Diagnosis Cloud: Sharing Knowledge Across Cellular Networks |
| Ge, Zihui |
TS2.2 |
107 |
Quantifying the Service Performance Impact of Self-Organizing Network Actions |
| Ghaderi, Majid |
MC3.1 |
50 |
Self-Optimizing Energy Management in Heterogeneous Cellular Networks |
| Ghaleb, Abdulaziz |
WS1-P.1 |
389 |
Enhancing the Performance of Post-Failure Restoration Schemes in Multi-Tenant Networks |
| Granville, Lisandro |
TS6.3 |
303 |
Booter Blacklist: Unveiling DDoS-for-hire Websites |
| Guérin Lassous, Isabelle |
WS1-2.2 |
353 |
Evaluation of an End-to-End Delay Estimation in the Case of Multiple Flows in SDN Networks |
| Gunkel, Matthias |
TS5.2 |
277 |
Enabling Efficient Multi-Layer Repair in Elastic Optical Networks by Gradually Superimposing SDN |
| Guven, Sinem |
PS1.10 |
170 |
Understanding the Role of Change in Incident Prevention |
| H A B C D E F G H J K L M N P Q R S T V W Y Z |
| Hammerschmidt, Christian |
PS2.6 |
253 |
Behavioral Clustering of Non-Stationary IP Flow Record Data |
| Han, Yoonseon |
WS1-3.2 |
406 |
An Intent-based Network Virtualization Platform for SDN |
| Harutyunyan, Davit |
TS2.1 |
98 |
SWAN: Base-Band Units Placement over Reconfigurable Wireless Front-Hauls |
| Hasija, Sidhant |
TS1.1 |
71 |
A Connectionist Approach to Dynamic Resource Management for Virtualised Network Functions |
| Hatonen, Kimmo |
PS1.2 |
130 |
Diagnosis Cloud: Sharing Knowledge Across Cellular Networks |
| Hausheer, David |
TS5.2 |
277 |
Enabling Efficient Multi-Layer Repair in Elastic Optical Networks by Gradually Superimposing SDN |
| Herrmann, Daniel |
TS5.2 |
277 |
Enabling Efficient Multi-Layer Repair in Elastic Optical Networks by Gradually Superimposing SDN |
| Hickey, Caylin |
WS2-2.3 |
377 |
Cresco: A distributed agent-based edge computing framework |
| Hoang, Doan |
WS1-3.2 |
406 |
An Intent-based Network Virtualization Platform for SDN |
| Hong, James |
PS2.4 |
243 |
Measuring Auto Switch Between Wi-Fi and Mobile Data Networks in an Urban Area |
| WS1-3.2 |
406 |
An Intent-based Network Virtualization Platform for SDN |
| Husari, Ghaith |
PS1.1 |
125 |
Optimizing the RoI of Cyber Risk Mitigation |
| Hyun, Jonghwan |
PS2.4 |
243 |
Measuring Auto Switch Between Wi-Fi and Mobile Data Networks in an Urban Area |
| J A B C D E F G H J K L M N P Q R S T V W Y Z |
| Jacob Eravuchira, Steffie |
MC2.2 |
29 |
Measuring Web Similarity from Dual-stacked Hosts |
| Jain, Shashwat |
PS2.7 |
258 |
Applying Big Data Technologies to Manage QoS in an SDN |
| Jennings, Brendan |
TS1.1 |
71 |
A Connectionist Approach to Dynamic Resource Management for Virtualised Network Functions |
| WS1-2.3 |
359 |
QoS-aware Multipathing in Datacenters Using Effective Bandwidth Estimation and SDN |
| Ji, Chenchen |
WS2-1.2 |
336 |
A Routing Optimization Method based on Risk Prediction for Communication Services in Smart Grid |
| Jokar Jandaghi, Seyed Ali |
PS2.3 |
238 |
Online Characterization of Buggy Applications Running on the Cloud |
| Jonker, Mattijs |
PS1.8 |
160 |
On the Adoption of the Elliptic Curve Digital Signature Algorithm (ECDSA) in DNSSEC |
| K A B C D E F G H J K L M N P Q R S T V W Y Z |
| Karl, Holger |
MC3.2 |
57 |
Reusability of Software-Defined Networking Applications: A Runtime, Multi-Controller Approach |
| Katkar, Ashutosh |
PS2.7 |
258 |
Applying Big Data Technologies to Manage QoS in an SDN |
| Kellerer, Wolfgang |
TS1.2 |
80 |
Boost Online Virtual Network Embedding: Using Neural Networks for Admission Control |
| Khabbaz, Maurice |
MC1.1 |
1 |
Reliability-Aware Service Provisioning in NFV-enabled Enterprise Datacenter Networks |
| Khalifa, Tarek |
WS1-P.1 |
389 |
Enhancing the Performance of Post-Failure Restoration Schemes in Multi-Tenant Networks |
| Khan, Aimal |
TS1.3 |
89 |
ReNoVatE: Recovery from Node Failure in Virtual Network Embedding |
| Khandelwal, Manish |
PS2.7 |
258 |
Applying Big Data Technologies to Manage QoS in an SDN |
| Khazaei, Hamzeh |
TS6.2 |
295 |
CAAMP: Completely Automated DDoS Attack Mitigation Platform in Hybrid Clouds |
| Krämer, Patrick |
TS1.2 |
80 |
Boost Online Virtual Network Embedding: Using Neural Networks for Admission Control |
| Krishnamurthy, Diwakar |
TS3.3 |
192 |
Predicting Web Service Response Time Percentiles |
| Kubatova, Hana |
MC2.4 |
43 |
NEMEA: A Framework for Network Traffic Analysis |
| Kuklinski, Slawomir |
TS2.1 |
98 |
SWAN: Base-Band Units Placement over Reconfigurable Wireless Front-Hauls |
| L A B C D E F G H J K L M N P Q R S T V W Y Z |
| Latré, Steven |
TS4.1 |
201 |
Dynamic Server Selection Strategy for Multi-server HTTP Adaptive Streaming Services |
| TS4.3 |
219 |
Deadline-aware TCP Congestion Control for Video Streaming Services |
| Lefevre, Laurent |
PS1.4 |
140 |
On the Impact of Advance Reservations for Energy-Aware Provisioning of Bare-Metal Cloud Resources |
| Lemieux, Yves |
WS2-1.3 |
342 |
The Green Sustainable Telco Cloud: Minimizing greenhouse gas emissions of server load migrations between distributed data centres |
| Leon-Garcia, Alberto |
PS1.5 |
145 |
Graph-based diagnosis in Software-Defined Infrastructure |
| WS1-1.1 |
312 |
Enhanced Real Time Content Delivery using vCPE and NFV Service Chaining |
| Leung, Victor |
WS1-2.1 |
347 |
LLDP Based Link Latency Monitoring in Software Defined Networks |
| Li, Jian |
WS1-3.2 |
406 |
An Intent-based Network Virtualization Platform for SDN |
| Li, Wenjia |
WS2-2.1 |
365 |
Driver Identification and Authentication with Active Behavior Modeling |
| Liao, Ling |
WS1-2.1 |
347 |
LLDP Based Link Latency Monitoring in Software Defined Networks |
| Litoiu, Marin |
TS6.2 |
295 |
CAAMP: Completely Automated DDoS Attack Mitigation Platform in Hybrid Clouds |
| M A B C D E F G H J K L M N P Q R S T V W Y Z |
| Ma, Hongyao |
PS1.9 |
165 |
Inferring Smartphone Service Quality using Tensor Methods |
| Mahimkar, Ajay |
MC2.3 |
36 |
Detecting and Diagnosing Performance Impact of Smartphone Software Upgrades |
| TS2.2 |
107 |
Quantifying the Service Performance Impact of Self-Organizing Network Actions |
| PS1.9 |
165 |
Inferring Smartphone Service Quality using Tensor Methods |
| Mangiante, Simone |
WS1-2.3 |
359 |
QoS-aware Multipathing in Datacenters Using Effective Bandwidth Estimation and SDN |
| Mannhart, Stephan |
TS4.2 |
210 |
Virtual Machine Priority Adaption to Enforce Fairness Among Cloud Users |
| Manzoor, Jawad |
MC2.1 |
22 |
The Curious Case of Parallel Connections in HTTP/2 |
| Marchal, Samuel |
PS2.6 |
253 |
Behavioral Clustering of Non-Stationary IP Flow Record Data |
| Marek, Victor |
WS2-2.3 |
377 |
Cresco: A distributed agent-based edge computing framework |
| Mascarenhas, Shannon |
WS2-2.1 |
365 |
Driver Identification and Authentication with Active Behavior Modeling |
| Mayzaud, Anthéa |
TS6.1 |
286 |
Detecting Version Number Attacks in RPL-based Networks using a Distributed Monitoring Architecture |
| McCune, Earl |
WS2-1.1 |
330 |
Power Proportional Computing for "Green" Servers |
| Medhi, Deep |
PS2.8 |
263 |
BuDDI: Bug Detection, Debugging, and Isolation Middlebox for Software-Defined Network Controllers |
| Metter, Christopher |
TS5.1 |
268 |
Analytic Model for SDN Controller Traffic and Switch Table Occupancy |
| Mijumbi, Rashid |
TS1.1 |
71 |
A Connectionist Approach to Dynamic Resource Management for Virtualised Network Functions |
| Mitra, Jeebak |
TS1.3 |
89 |
ReNoVatE: Recovery from Node Failure in Virtual Network Embedding |
| Moens, Hendrik |
MC3.3 |
64 |
BRAHMA: An Intelligent Framework for Automated Scaling of Streaming and Deadline-critical Workflows |
| Moraney, Jalil |
TS3.1 |
174 |
Efficient Detection of Flow Anomalies with Limited Monitoring Resources |
| Murthy, Karin |
PS1.6 |
150 |
Identifying Resources for Cloud Garbage Collection |
| PS1.10 |
170 |
Understanding the Role of Change in Incident Prevention |
| Mwanje, Stephen |
PS1.3 |
135 |
Fluid Capacity for Energy Saving Management in Multi-Layer Ultra-Dense 4G/5G Cellular Networks |
| N A B C D E F G H J K L M N P Q R S T V W Y Z |
| Naghibi, Mohammad |
MC3.1 |
50 |
Self-Optimizing Energy Management in Heterogeneous Cellular Networks |
| Nahm, David |
PS2.4 |
243 |
Measuring Auto Switch Between Wi-Fi and Mobile Data Networks in an Urban Area |
| Naseer-ul-islam, Muhammad |
PS1.2 |
130 |
Diagnosis Cloud: Sharing Knowledge Across Cellular Networks |
| Nguyen, Huu-Nghi |
WS1-2.2 |
353 |
Evaluation of an End-to-End Delay Estimation in the Case of Multiple Flows in SDN Networks |
| Nguyen, Kim Khoa |
PS2.2 |
233 |
A Traffic Visualization Framework for Monitoring Large-scale Inter- DataCenter Network |
| WS2-1.3 |
342 |
The Green Sustainable Telco Cloud: Minimizing greenhouse gas emissions of server load migrations between distributed data centres |
| WS2-2.4 |
383 |
Monitoring and Measurement System for Green Operation of Geographically Distributed ICT Services |
| Nováczki, Szabolcs |
PS1.2 |
130 |
Diagnosis Cloud: Sharing Knowledge Across Cellular Networks |
| Nygate, Joseph |
PS2.7 |
258 |
Applying Big Data Technologies to Manage QoS in an SDN |
| P A B C D E F G H J K L M N P Q R S T V W Y Z |
| Parikh, Tapan |
WS2-2.1 |
365 |
Driver Identification and Authentication with Active Behavior Modeling |
| Pathak, Shomik |
TS2.2 |
107 |
Quantifying the Service Performance Impact of Self-Organizing Network Actions |
| Petrangeli, Stefano |
PS1.7 |
155 |
Energy-aware quality adaptation for mobile video streaming |
| Poullie, Patrick |
TS4.2 |
210 |
Virtual Machine Priority Adaption to Enforce Fairness Among Cloud Users |
| Pras, Aiko |
TS6.3 |
303 |
Booter Blacklist: Unveiling DDoS-for-hire Websites |
| Puš, Viktor |
PS2.5 |
248 |
Building a Feedback Loop to Capture Evidence of Network Incidents |
| Puthenpura, Sarat |
TS2.2 |
107 |
Quantifying the Service Performance Impact of Self-Organizing Network Actions |
| Q A B C D E F G H J K L M N P Q R S T V W Y Z |
| Qiao, Yuanyuan |
WS2-2.2 |
371 |
An Improved Markov Method for Prediction of User Mobility |
| Qu, Long |
MC1.1 |
1 |
Reliability-Aware Service Provisioning in NFV-enabled Enterprise Datacenter Networks |
| R A B C D E F G H J K L M N P Q R S T V W Y Z |
| Rajkumar, Jananjoy |
WS1-P.3 |
397 |
Dynamic Resource Allocation of Smart Home workloads in the Cloud |
| Rasheed, Tinku |
WS1-3.1 |
401 |
Intent-based Mobile Backhauling for 5G Networks |
| Rashidi, Bahman |
MC1.2 |
8 |
CoFence: A Collaborative DDoS Defence Using Network Function Virtualization |
| Raz, Danny |
TS3.1 |
174 |
Efficient Detection of Flow Anomalies with Limited Monitoring Resources |
| Riekstin, Ana Carolina |
WS2-2.4 |
383 |
Monitoring and Measurement System for Green Operation of Geographically Distributed ICT Services |
| Riggio, Roberto |
TS2.1 |
98 |
SWAN: Base-Band Units Placement over Reconfigurable Wireless Front-Hauls |
| WS1-3.1 |
401 |
Intent-based Mobile Backhauling for 5G Networks |
| Rojas, Elisa |
MC3.2 |
57 |
Reusability of Software-Defined Networking Applications: A Runtime, Multi-Controller Approach |
| Rosa, Zdenek |
MC2.4 |
43 |
NEMEA: A Framework for Network Traffic Analysis |
| PS2.5 |
248 |
Building a Feedback Loop to Capture Evidence of Network Incidents |
| Rossigneux, François |
PS1.4 |
140 |
On the Impact of Advance Reservations for Energy-Aware Provisioning of Bare-Metal Cloud Resources |
| Roy, Arup |
MC1.3 |
15 |
Emulating an Infrastructure with EASE |
| Roy, Swati |
TS2.2 |
107 |
Quantifying the Service Performance Impact of Self-Organizing Network Actions |
| Rubio-Loyola, Javier |
WS1-1.3 |
324 |
A Virtual Network Migration Approach and Analysis for Enhanced Online Virtual Network Embedding |
| S A B C D E F G H J K L M N P Q R S T V W Y Z |
| Sadre, Ramin |
MC2.1 |
22 |
The Curious Case of Parallel Connections in HTTP/2 |
| Salvadori, Elio |
MC3.2 |
57 |
Reusability of Software-Defined Networking Applications: A Runtime, Multi-Controller Approach |
| Samson, Réjean |
WS2-1.3 |
342 |
The Green Sustainable Telco Cloud: Minimizing greenhouse gas emissions of server load migrations between distributed data centres |
| WS2-2.4 |
383 |
Monitoring and Measurement System for Green Operation of Geographically Distributed ICT Services |
| Sanneck, Henning |
TS2.3 |
116 |
A Steiner Tree-Based Verification Approach for Handling Topology Changes in Self-Organizing Networks |
| PS1.2 |
130 |
Diagnosis Cloud: Sharing Knowledge Across Cellular Networks |
| Santanna, José Jair |
TS6.3 |
303 |
Booter Blacklist: Unveiling DDoS-for-hire Websites |
| Schmidt, Ricardo |
TS6.3 |
303 |
Booter Blacklist: Unveiling DDoS-for-hire Websites |
| Schönwälder, Jürgen |
MC2.2 |
29 |
Measuring Web Similarity from Dual-stacked Hosts |
| Seufert, Michael |
TS5.1 |
268 |
Analytic Model for SDN Controller Traffic and Switch Table Occupancy |
| Shaban, Khaled |
MC1.1 |
1 |
Reliability-Aware Service Provisioning in NFV-enabled Enterprise Datacenter Networks |
| WS1-P.1 |
389 |
Enhancing the Performance of Post-Failure Restoration Schemes in Multi-Tenant Networks |
| Shahriar, Nashid |
TS1.3 |
89 |
ReNoVatE: Recovery from Node Failure in Virtual Network Embedding |
| Shen, Zhiming |
PS1.6 |
150 |
Identifying Resources for Cloud Garbage Collection |
| Shi, Lei |
WS1-2.3 |
359 |
QoS-aware Multipathing in Datacenters Using Effective Bandwidth Estimation and SDN |
| Shtern, Mark |
TS6.2 |
295 |
CAAMP: Completely Automated DDoS Attack Mitigation Platform in Hybrid Clouds |
| Simoni, Noëmie |
WS1-P.2 |
|
Network Service Description for Virtual Network Deployment: A constraints based OVF extension proposal |
| Simoni, Noëmie |
WS1-1.2 |
318 |
On-demand, Dynamic and at-the-Edge VNF Deployment Model Application to Web Real-Time Communications |
| Singh, Harsh |
PS2.3 |
238 |
Online Characterization of Buggy Applications Running on the Cloud |
| Soliman, Hazem |
PS1.5 |
145 |
Graph-based diagnosis in Software-Defined Infrastructure |
| Song, Sejun |
PS2.8 |
263 |
BuDDI: Bug Detection, Debugging, and Isolation Middlebox for Software-Defined Network Controllers |
| Sperotto, Anna |
PS1.8 |
160 |
On the Adoption of the Elliptic Curve Digital Signature Algorithm (ECDSA) in DNSSEC |
| State, Radu |
PS2.6 |
253 |
Behavioral Clustering of Non-Stationary IP Flow Record Data |
| Stiller, Burkhard |
TS4.2 |
210 |
Virtual Machine Priority Adaption to Enforce Fairness Among Cloud Users |
| Subramanya, Tejas |
WS1-3.1 |
401 |
Intent-based Mobile Backhauling for 5G Networks |
| Svepes, Marek |
MC2.4 |
43 |
NEMEA: A Framework for Network Traffic Analysis |
| T A B C D E F G H J K L M N P Q R S T V W Y Z |
| Tran-Gia, Phuoc |
TS5.1 |
268 |
Analytic Model for SDN Controller Traffic and Switch Table Occupancy |
| Tsvetkov, Tsvetko |
TS2.3 |
116 |
A Steiner Tree-Based Verification Approach for Handling Topology Changes in Self-Organizing Networks |
| Tuncer, Daphne |
TS6.3 |
303 |
Booter Blacklist: Unveiling DDoS-for-hire Websites |
| V A B C D E F G H J K L M N P Q R S T V W Y Z |
| Vakilinia, Shahin |
PS2.1 |
228 |
Let's Adapt to Network Change: Towards Energy Saving with Rate Adaptation in SDN |
| WS1-P.3 |
397 |
Dynamic Resource Allocation of Smart Home workloads in the Cloud |
| van der Smagt, Patrick |
TS1.2 |
80 |
Boost Online Virtual Network Embedding: Using Neural Networks for Admission Control |
| Van Leekwijck, Werner |
TS4.3 |
219 |
Deadline-aware TCP Congestion Control for Video Streaming Services |
| Van Poecke, Bert |
TS4.1 |
201 |
Dynamic Server Selection Strategy for Multi-server HTTP Adaptive Streaming Services |
| van Rijswijk-Deij, Roland |
PS1.8 |
160 |
On the Adoption of the Elliptic Curve Digital Signature Algorithm (ECDSA) in DNSSEC |
| Van Seghbroeck, Gregory |
MC3.3 |
64 |
BRAHMA: An Intelligent Framework for Automated Scaling of Streaming and Deadline-critical Workflows |
| Van Staey, Patrick |
PS1.7 |
155 |
Energy-aware quality adaptation for mobile video streaming |
| Verwer, Sicco |
PS2.6 |
253 |
Behavioral Clustering of Non-Stationary IP Flow Record Data |
| Volckaert, Bruno |
MC3.3 |
64 |
BRAHMA: An Intelligent Framework for Automated Scaling of Streaming and Deadline-critical Workflows |
| Voris, Jonathan |
WS2-2.1 |
365 |
Driver Identification and Authentication with Active Behavior Modeling |
| W A B C D E F G H J K L M N P Q R S T V W Y Z |
| Wahba, Joseph |
PS1.5 |
145 |
Graph-based diagnosis in Software-Defined Infrastructure |
| Wamser, Florian |
TS5.1 |
268 |
Analytic Model for SDN Controller Traffic and Switch Table Occupancy |
| Wang, Runxin |
WS1-2.3 |
359 |
QoS-aware Multipathing in Datacenters Using Effective Bandwidth Estimation and SDN |
| Wauters, Tim |
PS1.7 |
155 |
Energy-aware quality adaptation for mobile video streaming |
| Wenjing, Li |
WS2-1.2 |
336 |
A Routing Optimization Method based on Risk Prediction for Communication Services in Smart Grid |
| Wichtlhuber, Matthias |
TS5.2 |
277 |
Enabling Efficient Multi-Layer Repair in Elastic Optical Networks by Gradually Superimposing SDN |
| Willinger, Walter |
PS1.9 |
165 |
Inferring Smartphone Service Quality using Tensor Methods |
| Wissel, Felix |
TS5.2 |
277 |
Enabling Efficient Multi-Layer Repair in Elastic Optical Networks by Gradually Superimposing SDN |
| Won, Youngjoon |
PS2.4 |
243 |
Measuring Auto Switch Between Wi-Fi and Mobile Data Networks in an Urban Area |
| Y A B C D E F G H J K L M N P Q R S T V W Y Z |
| Yang, Jie |
WS2-2.2 |
371 |
An Improved Markov Method for Prediction of User Mobility |
| Yasrebi, Pouya |
WS1-1.1 |
312 |
Enhanced Real Time Content Delivery using vCPE and NFV Service Chaining |
| Yeh, Eric |
PS1.2 |
130 |
Diagnosis Cloud: Sharing Knowledge Across Cellular Networks |
| Yoo, Jae-Hyoung |
WS1-3.2 |
406 |
An Intent-based Network Virtualization Platform for SDN |
| Young, Christopher |
PS1.6 |
150 |
Identifying Resources for Cloud Garbage Collection |
| Yu, Peng |
WS2-1.2 |
336 |
A Routing Optimization Method based on Risk Prediction for Communication Services in Smart Grid |
| Z A B C D E F G H J K L M N P Q R S T V W Y Z |
| Zadnik, Martin |
PS2.5 |
248 |
Building a Feedback Loop to Capture Evidence of Network Incidents |
| Zangiabady, Mahboobeh |
WS1-1.3 |
324 |
A Virtual Network Migration Approach and Analysis for Enhanced Online Virtual Network Embedding |
| Zemmouri, Samy |
PS2.1 |
228 |
Let's Adapt to Network Change: Towards Energy Saving with Rate Adaptation in SDN |
| Zeng, Sai |
PS1.6 |
150 |
Identifying Resources for Cloud Garbage Collection |
| Zhang, Jue |
WS2-2.1 |
365 |
Driver Identification and Authentication with Active Behavior Modeling |
| Zhang, Zemin |
PS1.9 |
165 |
Inferring Smartphone Service Quality using Tensor Methods |
| Zhao, Puyuan |
WS2-1.2 |
336 |
A Routing Optimization Method based on Risk Prediction for Communication Services in Smart Grid |
| Zhao, Shuai |
PS2.8 |
263 |
BuDDI: Bug Detection, Debugging, and Isolation Middlebox for Software-Defined Network Controllers |
| Zhu, Haihong (Henry) |
PS2.8 |
263 |
BuDDI: Bug Detection, Debugging, and Isolation Middlebox for Software-Defined Network Controllers |
| Zinner, Thomas |
TS5.1 |
268 |
Analytic Model for SDN Controller Traffic and Switch Table Occupancy |
