- Brigitte Jaumard, Junior Momo Ziazet:
5G E2E Network Slicing Predictable Traffic Generator. CNSM 2023: 1-7 - Eui-Dong Jeong, Jae-Hyoung Yoo, James Won-Ki Hong:
SDN Lullaby: VM Consolidation for SDN using Transformer-Based Deep Reinforcement Learning. CNSM 2023: 1-5 - Nan Jiang, Jessie Hui Wang, Jilong Wang, Peiran Wang:
TinyG: Accurate IP Geolocation Using a Tiny Number of Probers. CNSM 2023: 1-9 - Julian Jimenez, Paola Soto, Danny De Vleeschauwer, Chia-Yu Chang, Yorick De Bock, Steven Latré, Miguel Camelo:
Resource Allocation of Multi-User Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning. CNSM 2023: 1-5 - Satoru Kobayashi, Ryusei Shiiba, Ryosuke Miura, Shinsuke Miwa, Toshiyuki Miyachi, Kensuke Fukuda:
dot2net: A Labeled Graph Approach for Template-Based Configuration of Emulation Networks. CNSM 2023: 1-9 - Marc Koerner:
Vendor Agnostic Network Service Orchestration with Stacked NSO Services. CNSM 2023: 1-4 - Josef Koumar, Karel Hynek, Tomás Cejka:
Network Traffic Classification Based on Single Flow Time Series Analysis. CNSM 2023: 1-7 - Josef Koumar, Richard Plný, Tomás Cejka:
Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior. CNSM 2023: 1-7 - Thorben Krüger, Clemens Beck, David Hausheer:
Path Oracle: Improving Performance of Path-Aware Applications in SCION. CNSM 2023: 1-5 - Vedant Joseph Kumar, Patrick Maillé, Bruno Tuffin:
Analyzing Network (Non-)Neutrality for Monopolistic, Competing, or Vertically Integrated Content Providers with a Unified Model. CNSM 2023: 1-7 - Justin Kur, Ji Xue, Jingshu Chen, Jun Huang:
Bridging Resource Prediction and System Management: A Case Study in Cloud Systems. CNSM 2023: 1-5 - Alexander Loginov, Jeffrey Adjei, Nur Zincir-Heywood, Srinivas Sampalli, Kevin de Snayer, Terri Dougall:
Preliminary Results on Exploring Data Exhaust of Consumer Internet of Things Devices. CNSM 2023: 1-5 - Mohamed Abderrahmane Madani, Fen Zhou, Ahmed Meddahi:
Deploying Disaster-Resilient Service Function Chains Using Adaptive Multi-Path Routing. CNSM 2023: 1-5 - Hichem Magnouche, Guillaume Doyen, Caroline Prodhon:
A Lightweight Heuristic for Micro-Services Placement and Chaining in Low Latency Services. CNSM 2023: 1-9 - Lorenzo Manca, Davide Borsatti, Filippo Poltronieri, Mattia Zaccarini, Domenico Scotece, Gianluca Davoli, Luca Foschini, Genady Ya. Grabarnik, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi, Walter Cerroni:
Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach. CNSM 2023: 1-9 - Yoichi Matsuo:
Empirical Analysis of the Fine-Tuning for Unsupervised Anomaly Detection in the ICT System. CNSM 2023: 1-7 - Céline Minh, Kevin Vermeulen, Cédric Lefebvre, Philippe Owezarski, William Ritchie:
An Explainable-by-Design Ensemble Learning System to Detect Unknown Network Attacks. CNSM 2023: 1-9 - Negar Mohammadi-Koushki, Sanjeev Sondur, Krishna Kant:
Improving System Configurations Using Domain Knowledge Assisted Semi-Supervised Learning. CNSM 2023: 1-5 - Henrique D. Moura, Júnia Maísa Oliveira, Daniel Soares, Daniel F. Macedo, Marcos A. M. Vieira:
Improved Video QoE in Wireless Networks Using Deep Reinforcement Learning. CNSM 2023: 1-7 - Mahtab Movahedian, Mahdi Dolati, Majid Ghaderi:
Adaptive Model Aggregation for Decentralized Federated Learning in Vehicular Networks. CNSM 2023: 1-9 - Maria Mushtaq, Morteza Golkarifard, Nashid Shahriar, Raouf Boutaba, Aladdin Saleh:
Optimal Functional Splitting, Placement and Routing for Isolation-Aware Network Slicing in NG-RAN. CNSM 2023: 1-5 - Sukhyun Nam, Euidong Jeong, Jibum Hong, Jae-Hyoung Yoo, James Won-Ki Hong:
Log Analysis and Prediction for Anomaly Detection in Network Switches. CNSM 2023: 1-7 - Manh-Tien-Anh Nguyen, Van Tong, Sondes Bannour Souihi, Sami Souihi:
Deep Learning in NLP for Anomalous HTTP Requests Detection. CNSM 2023: 1-8 - Mehdi Nobakht, Arshiya Rezaie Hezaveh:
pUpdate: Priority-Based Scheduling for Continuous and Consistent Network Updates in SDN. CNSM 2023: 1-7 - Mehdi Nobakht, Frank T. H. den Hartog:
On Integrated Wired and Wireless Time-Sensitive Networking using SDN. CNSM 2023: 1-5 - Nils Rodday, Gabi Dreo Rodosek:
BGPEval: Automating Large-Scale Testbed Creation. CNSM 2023: 1-5 - Ulya Sabeel, Shahram Shah-Heydari, Khalil El-Khatib, Khalid Elgazzar:
Analyzing the Quality of Synthetic Adversarial Cyberattacks. CNSM 2023: 1-5 - José Santos, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck:
Performance Impact of Queue Sorting in Container-Based Application Scheduling. CNSM 2023: 1-9 - Sebastian Schmidt, Johannes Zerwas, Wolfgang Kellerer:
AdFAT: Adversarial Flow Arrival Time Generation for Demand-Oblivious Data Center Networks. CNSM 2023: 1-5 - Paul Seehofer, Roland Bless, Hendrik Mahrt, Martina Zitterbart:
Scalable and Efficient Link Layer Topology Discovery for Autonomic Networks. CNSM 2023: 1-9