A Study of Dispersion-based Measurement Methods in IEEE 802.11 Ad-hoc Networks. - Andreas Johnsson; Mats Björkman; Bob Melander (Communications in Computing, 2004)

On the Analysis of Packet-Train Probing Schemes. - Andreas Johnsson; Bob Melander; Mats Björkman (Communications in Computing, 2004)

Bandwidth Measurement in Wireless Networks. - Andreas Johnsson; Bob Melander; Mats Björkman (Med-Hoc-Net, 2005)

An Analysis of Active End-to-end Bandwidth Measurements in Wireless Networks. - Andreas Johnsson; Mats Björkman; Bob Melander (E2EMON, 2006)

Real-Time Measurement of End-to-End Available Bandwidth using Kalman Filtering. - Svante Ekelin; Martin Nilsson 001; Erik Hartikainen; Andreas Johnsson; Jan-Erik Mångs; Bob Melander; Mats Björkman (NOMS, 2006)

Modeling, Implementation and Evaluation of IP Network Bandwidth Measurement Methods. - Andreas Johnsson (2007)

On measuring available bandwidth in wireless networks. - Andreas Johnsson; Mats Björkman (LCN, 2008)

Towards automatic provisioning and validation of Ethernet services over transport networks. - Andreas Johnsson; Catalin Meirosu; Navid Anjum; Amir Tirdad (Integrated Network Management, 2011)

Ericsson Two-Way Active Measurement Protocol (TWAMP) Value-Added Octets. - Steve Baillargeon; Christofer Flinta; Andreas Johnsson (RFC, 2012)

Towards automatic network fault localization in real time using probabilistic inference. - Andreas Johnsson; Catalin Meirosu (IM, 2013)

Online network performance degradation localization using probabilistic inference and change detection. - Andreas Johnsson; Catalin Meirosu; Christofer Flinta (NOMS, 2014)

Predicting service metrics for cluster-based services using real-time analytics. - Rerngvit Yanggratoke; Jawwad Ahmed; John Ardelius; Christofer Flinta; Andreas Johnsson; Daniel Gillblad; Rolf Stadler (CNSM, 2015)

KVM virtualization impact on active round-trip time measurements. - Ramide Dantas; Djamel Sadok; Christofer Flinta; Andreas Johnsson (IM, 2015)

Predicting real-time service-level metrics from device statistics. - Rerngvit Yanggratoke; Jawwad Ahmed; John Ardelius; Christofer Flinta; Andreas Johnsson; Daniel Gillblad; Rolf Stadler (IM, 2015)

A platform for predicting real-time service-level metrics from device statistics. - Rerngvit Yanggratoke; Jawwad Ahmed; John Ardelius; Christofer Flinta; Andreas Johnsson; Daniel Gillblad; Rolf Stadler (IM, 2015)

Predicting SLA Violations in Real Time using Online Machine Learning. - Jawwad Ahmed; Andreas Johnsson; Rerngvit Yanggratoke; John Ardelius; Christofer Flinta; Rolf Stadler (CoRR, 2015)

Scalability and Dimensioning of Network-Capacity Measurement System using Reflecting Servers. - Svante Ekelin; Andreas Johnsson; Christofer Flinta (CoRR, 2015)

On Measurement Endpoint Placement Using Genetic Algorithms for Network Observability. - Andreas Johnsson; Catalin Meirosu (GLOBECOM, 2016)

On time-stamp accuracy of passive monitoring in a container execution environment. - Farnaz Moradi; Christofer Flinta; Andreas Johnsson; Catalin Meirosu (Networking, 2016)

Predicting SLA conformance for cluster-based services using distributed analytics. - Jawwad Ahmed; Andreas Johnsson; Rerngvit Yanggratoke; John Ardelius; Christofer Flinta; Rolf Stadler (NOMS, 2016)

Online approach to performance fault localization for cloud and datacenter services. - Jawwad Ahmed; Andreas Johnsson; Farnaz Moradi; Rafael Pasquini; Christofer Flinta; Rolf Stadler (IM, 2017)

Real-time resource prediction engine for cloud management. - Christofer Flinta; Andreas Johnsson; Jawwad Ahmed; Farnaz Moradi; Rafael Pasquini; Rolf Stadler (IM, 2017)

ConMon: An automated container based network performance monitoring system. - Farnaz Moradi; Christofer Flinta; Andreas Johnsson; Catalin Meirosu (IM, 2017)

Predicting SLA conformance for cluster-based services. - Rafael Pasquini; Farnaz Moradi; Jawwad Ahmed; Andreas Johnsson; Christofer Flinta; Rolf Stadler (Networking, 2017)

Automated diagnostic of virtualized service performance degradation. - Jawwad Ahmed; Tim Josefsson; Andreas Johnsson; Christofer Flinta; Farnaz Moradi; Rafael Pasquini; Rolf Stadler (NOMS, 2018)

On performance observability in IoT systems using active measurements. - Andreas Johnsson; Christian Rohner (NOMS, 2018)

A service-agnostic method for predicting service metrics in real time. - Rerngvit Yanggratoke; Jawwad Ahmed; John Ardelius; Christofer Flinta; Andreas Johnsson; Daniel Gillblad; Rolf Stadler (Int. J. Netw. Manag., 2018)

Machine Learning Based Active Measurement Proxy for IoT Systems. - Andreas Johnsson; Christofer Flinta; Wenqing Yan (IM, 2019)

Performance Prediction in Dynamic Clouds using Transfer Learning. - Andreas Johnsson; Farnaz Moradi; Rolf Stadler (IM, 2019)

Demonstration: Predicting Distributions of Service Metrics. - Forough Shahab; Rolf Stadler; Andreas Johnsson; Christofer Flinta (IM, 2019)

On Network Performance Indicators for Network Promoter Score Estimation. - Selim Ickin; Jawwad Ahmed; Andreas Johnsson; Jörgen Gustafsson (QoMEX, 2019)

Predictive Bandits. - Simon Lindståhl; Alexandre Proutière; Andreas Johnsson (CDC, 2020)

Predicting Round-Trip Time Distributions in IoT Systems using Histogram Estimators. - Christofer Flinta; Wenqing Yan; Andreas Johnsson (NOMS, 2020)

Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign. - William Tärneberg; Omar Hamsis; John Hedlund; Kjell Brunnström; Emma Fitzgerald; Andreas Johnsson; Viktor Berggren; Maria Kihl; Akhila Rao; Rebecca Steinert; Caner Kilinc (SoftCOM, 2020)

Evolving 5G: ANIARA, an edge-cloud perspective. - Ian Marsh; Nicolae Paladi; Henrik Abrahamsson; Jonas Gustafsson; Johan Sjöberg; Andreas Johnsson; Pontus Sköldström; Jim Dowling; Paolo Monti 001; Melina Vruna; Mohsen Amiribesheli (CF, 2021)

Online Feature Selection for Low-overhead Learning in Networked Systems. - Xiaoxuan Wang; Forough Shahab Samani; Andreas Johnsson; Rolf Stadler (CNSM, 2021)

Decentralizing Computation with Edge Computing: Potential and Challenges. - Aleksandr Zavodovski; Lorenzo Corneo; Andreas Johnsson; Nitinder Mohan; Suzan Bayhan; Pengyuan Zhou; Walter Wong; Jussi Kangasharju (IWCI@CoNEXT, 2021)

On Heterogeneous Transfer Learning for Improved Network Service Performance Prediction. - Fernando García Sanz; Masoumeh Ebrahimi; Andreas Johnsson (GLOBECOM, 2021)

Towards Source Selection in Transfer Learning for Cloud Performance Prediction. - Hannes Larsson; Jalil Taghia; Farnaz Moradi; Andreas Johnsson (IM, 2021)

Source Selection in Transfer Learning for Improved Service Performance Predictions. - Hannes Larsson; Jalil Taghia; Farnaz Moradi; Andreas Johnsson (Networking, 2021)

Conditional Density Estimation of Service Metrics for Networked Services. - Forough Shahab Samani; Rolf Stadler; Christofer Flinta; Andreas Johnsson (IEEE Trans. Netw. Serv. Manag., 2021)

Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach. - Simon Lindståhl; Alexandre Proutière; Andreas Johnsson (GLOBECOM, 2022)

Policy-Induced Unsupervised Feature Selection: A Networking Case Study. - Jalil Taghia; Farnaz Moradi; Hannes Larsson; Xiaoyu Lan; Masoumeh Ebrahimi; Andreas Johnsson (INFOCOM, 2022)

Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network. - Jalil Taghia; Farnaz Moradi; Hannes Larsson; Xiaoyu Lan; Masoumeh Ebrahimi; Andreas Johnsson (INFOCOM Workshops, 2022)

Exploring Approaches for Heterogeneous Transfer Learning in Dynamic Networks. - Fernando García Sanz; Masoumeh Ebrahimi; Andreas Johnsson (NOMS, 2022)

Prediction and exposure of delays from a base station perspective in 5G and beyond networks. - Akhila Rao; William Tärneberg; Emma Fitzgerald; Lorenzo Corneo; Aleksandr Zavodovski; Omkar Rai; Sixten Johansson; Viktor Berggren; Hassam Riaz; Caner Kilinc; Andreas Johnsson (5G-MeMZ@SIGCOMM, 2022)

Evolving 5G: ANIARA, an Edge-Cloud perspective. - Ian Marsh; Wolfgang John; Ali Balador; Federico Tonini; Jalil Taghia; Andreas Johnsson; Paolo Monti 001; Jonas Gustafsson; Pontus Sköldström; Johan Sjöberg; Jim Dowling (CoRR, 2022)

On the Impact of Blackhole-Attack Variations on ML-based Intrusion Detection Systems in IoT. - Amin Kaveh; Adam Pettersson; Christian Rohner; Andreas Johnsson (NOMS, 2023)

Domain Adaptation for Network Performance Modeling with and without Labeled Data. - Hannes Larsson; Farnaz Moradi; Jalil Taghia; Xiaoyu Lan; Andreas Johnsson (NOMS, 2023)

DietTopp: A first implementation and evaluation of a simplified bandwidth measurement method. - Andreas Johnsson; Bob Melander; Mats Björkman (CoRR, 2023)

Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification. - Simon Lindståhl; Alexandre Proutière; Andreas Johnsson (Proc. ACM Meas. Anal. Comput. Syst., 2023)

On Multi-Objective Neural Architecture Search for Modeling Network Performance. - Adam Orucu; Farnaz Moradi; Masoumeh Ebrahimi; Andreas Johnsson (NoF, 2024)

Generalizable One-Way Delay Prediction Models for Heterogeneous UEs in 5G Networks. - Akhila Rao; Hassam Riaz; Aleksandr Zavodovski; Rami Mochaourab; Viktor Berggren; Andreas Johnsson (NOMS, 2024)

Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment. - Forough Shahab Samani; Hannes Larsson; Simon Damberg; Andreas Johnsson; Rolf Stadler (NOMS, 2024)

RoME-QCD: Robust and Measurement Efficient Quickest Change Detection in 5G Networks. - Simon Lindståhl; Alexandre Proutière; Andreas Johnsson (TMA, 2024)

Towards Neural Architecture Search for Transfer Learning in 6G Networks. - Adam Orucu; Farnaz Moradi; Masoumeh Ebrahimi; Andreas Johnsson (CoRR, 2024)

Data generation and knowledge sharing for robust intrusion detection in IoT systems. - Amin Kaveh; Andreas Johnsson; Christian Rohner (IEEE DataPort, 2024)

Meta Learning for Improved Policy Transfer in Changing Network Environments. - Simon Damberg; Hannes Larsson; Andreas Johnsson (NetSoft, 2025)

Factors Influencing LSTM Model Generalizability for IoT Intrusion Detection. - Amin Kaveh; Noah Wassberg; Christian Rohner; Andreas Johnsson (NetSoft, 2025)

On Measuring Available Capacity in High-speed Cloud Networks. - Ganapathy Raman Madanagopal; Christofer Flinta; Andreas Johnsson; Farnaz Moradi; Daniel Turull (CoRR, 2025)