Andreas Johnsson

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 47

Top Topics

Transfer Learning

Change Detection

Conditional Density Estimation

Top Venues

Publications

Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification. SIGMETRICS/Performance (Abstracts) (2024)
Akhila Rao, Hassam Riaz, Aleksandr Zavodovski, Rami Mochaourab, Viktor Berggren, Andreas Johnsson
Generalizable One-Way Delay Prediction Models for Heterogeneous UEs in 5G Networks. NOMS (2024)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
RoME-QCD: Robust and Measurement Efficient Quickest Change Detection in 5G Networks. TMA (2024)
Forough Shahab Samani, Hannes Larsson, Simon Damberg, Andreas Johnsson, Rolf Stadler
Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment. NOMS (2024)
Adam Orucu, Farnaz Moradi, Masoumeh Ebrahimi, Andreas Johnsson
Towards Neural Architecture Search for Transfer Learning in 6G Networks. CoRR (2024)
Amin Kaveh, Adam Pettersson, Christian Rohner, Andreas Johnsson
On the Impact of Blackhole-Attack Variations on ML-based Intrusion Detection Systems in IoT. NOMS (2023)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification. Proc. ACM Meas. Anal. Comput. Syst. 7 (3) (2023)
Andreas Johnsson, Bob Melander, Mats Björkman
DietTopp: A first implementation and evaluation of a simplified bandwidth measurement method. CoRR (2023)
Hannes Larsson, Farnaz Moradi, Jalil Taghia, Xiaoyu Lan, Andreas Johnsson
Domain Adaptation for Network Performance Modeling with and without Labeled Data. NOMS (2023)
Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson
Policy-Induced Unsupervised Feature Selection: A Networking Case Study. INFOCOM (2022)
Akhila Rao, William Tärneberg, Emma Fitzgerald, Lorenzo Corneo, Aleksandr Zavodovski, Omkar Rai, Sixten Johansson, Viktor Berggren, Hassam Riaz, Caner Kilinc, Andreas Johnsson
Prediction and exposure of delays from a base station perspective in 5G and beyond networks. 5G-MeMZ@SIGCOMM (2022)
Fernando García Sanz, Masoumeh Ebrahimi, Andreas Johnsson
Exploring Approaches for Heterogeneous Transfer Learning in Dynamic Networks. NOMS (2022)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach. GLOBECOM (2022)
Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson
Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network. INFOCOM Workshops (2022)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach. CoRR (2022)
Ian Marsh, Wolfgang John, Ali Balador, Federico Tonini, Jalil Taghia, Andreas Johnsson, Paolo Monti, Jonas Gustafsson, Pontus Sköldström, Johan Sjöberg, Jim Dowling
Evolving 5G: ANIARA, an Edge-Cloud perspective. CoRR (2022)
Ian Marsh, Nicolae Paladi, Henrik Abrahamsson, Jonas Gustafsson, Johan Sjöberg, Andreas Johnsson, Pontus Sköldström, Jim Dowling, Paolo Monti, Melina Vruna, Mohsen Amiribesheli
Evolving 5G: ANIARA, an edge-cloud perspective. CF (2021)
Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson
Source Selection in Transfer Learning for Improved Service Performance Predictions. Networking (2021)
Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson
Towards Source Selection in Transfer Learning for Cloud Performance Prediction. IM (2021)
Xiaoxuan Wang, Forough Shahab Samani, Andreas Johnsson, Rolf Stadler
Online Feature Selection for Low-overhead Learning in Networked Systems. CNSM (2021)
Fernando García Sanz, Masoumeh Ebrahimi, Andreas Johnsson
On Heterogeneous Transfer Learning for Improved Network Service Performance Prediction. GLOBECOM (2021)
Aleksandr Zavodovski, Lorenzo Corneo, Andreas Johnsson, Nitinder Mohan, Suzan Bayhan, Pengyuan Zhou, Walter Wong, Jussi Kangasharju
Decentralizing Computation with Edge Computing: Potential and Challenges. IWCI@CoNEXT (2021)
Forough Shahab Samani, Rolf Stadler, Christofer Flinta, Andreas Johnsson
Conditional Density Estimation of Service Metrics for Networked Services. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
Christofer Flinta, Wenqing Yan, Andreas Johnsson
Predicting Round-Trip Time Distributions in IoT Systems using Histogram Estimators. NOMS (2020)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Predictive Bandits. CDC (2020)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Predictive Bandits. CoRR (2020)
William Tärneberg, Omar Hamsis, John Hedlund, Kjell Brunnström, Emma Fitzgerald, Andreas Johnsson, Viktor Berggren, Maria Kihl, Akhila Rao, Rebecca Steinert, Caner Kilinc
Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign. SoftCOM (2020)
Forough Shahab, Rolf Stadler, Andreas Johnsson, Christofer Flinta
Demonstration: Predicting Distributions of Service Metrics. IM (2019)
Selim Ickin, Jawwad Ahmed, Andreas Johnsson, Jörgen Gustafsson
On Network Performance Indicators for Network Promoter Score Estimation. QoMEX (2019)
Andreas Johnsson, Farnaz Moradi, Rolf Stadler
Performance Prediction in Dynamic Clouds using Transfer Learning. IM (2019)
Andreas Johnsson, Christofer Flinta, Wenqing Yan
Machine Learning Based Active Measurement Proxy for IoT Systems. IM (2019)
Andreas Johnsson, Christian Rohner
On performance observability in IoT systems using active measurements. NOMS (2018)
Jawwad Ahmed, Tim Josefsson, Andreas Johnsson, Christofer Flinta, Farnaz Moradi, Rafael Pasquini, Rolf Stadler
Automated diagnostic of virtualized service performance degradation. NOMS (2018)
Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler
A service-agnostic method for predicting service metrics in real time. Int. J. Netw. Manag. 28 (2) (2018)
Rafael Pasquini, Farnaz Moradi, Jawwad Ahmed, Andreas Johnsson, Christofer Flinta, Rolf Stadler
Predicting SLA conformance for cluster-based services. Networking (2017)
Farnaz Moradi, Christofer Flinta, Andreas Johnsson, Catalin Meirosu
ConMon: An automated container based network performance monitoring system. IM (2017)
Jawwad Ahmed, Andreas Johnsson, Farnaz Moradi, Rafael Pasquini, Christofer Flinta, Rolf Stadler
Online approach to performance fault localization for cloud and datacenter services. IM (2017)
Christofer Flinta, Andreas Johnsson, Jawwad Ahmed, Farnaz Moradi, Rafael Pasquini, Rolf Stadler
Real-time resource prediction engine for cloud management. IM (2017)
Farnaz Moradi, Christofer Flinta, Andreas Johnsson, Catalin Meirosu
On time-stamp accuracy of passive monitoring in a container execution environment. Networking (2016)
Andreas Johnsson, Catalin Meirosu
On Measurement Endpoint Placement Using Genetic Algorithms for Network Observability. GLOBECOM (2016)
Jawwad Ahmed, Andreas Johnsson, Rerngvit Yanggratoke, John Ardelius, Christofer Flinta, Rolf Stadler
Predicting SLA conformance for cluster-based services using distributed analytics. NOMS (2016)
Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler
Predicting service metrics for cluster-based services using real-time analytics. CNSM (2015)
Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler
A platform for predicting real-time service-level metrics from device statistics. IM (2015)
Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler
Predicting real-time service-level metrics from device statistics. IM (2015)
Svante Ekelin, Andreas Johnsson, Christofer Flinta
Scalability and Dimensioning of Network-Capacity Measurement System using Reflecting Servers. CoRR (2015)
Jawwad Ahmed, Andreas Johnsson, Rerngvit Yanggratoke, John Ardelius, Christofer Flinta, Rolf Stadler
Predicting SLA Violations in Real Time using Online Machine Learning. CoRR (2015)
Ramide Dantas, Djamel Sadok, Christofer Flinta, Andreas Johnsson
KVM virtualization impact on active round-trip time measurements. IM (2015)
Andreas Johnsson, Catalin Meirosu, Christofer Flinta
Online network performance degradation localization using probabilistic inference and change detection. NOMS (2014)
Andreas Johnsson, Catalin Meirosu
Towards automatic network fault localization in real time using probabilistic inference. IM (2013)
Steve Baillargeon, Christofer Flinta, Andreas Johnsson
Ericsson Two-Way Active Measurement Protocol (TWAMP) Value-Added Octets. RFC 6802 (2012)
Andreas Johnsson, Catalin Meirosu, Navid Anjum, Amir Tirdad
Towards automatic provisioning and validation of Ethernet services over transport networks. Integrated Network Management (2011)
Andreas Johnsson, Mats Björkman
On measuring available bandwidth in wireless networks. LCN (2008)
Andreas Johnsson, Mats Björkman, Bob Melander
An Analysis of Active End-to-end Bandwidth Measurements in Wireless Networks. E2EMON (2006)
Svante Ekelin, Martin Nilsson, Erik Hartikainen, Andreas Johnsson, Jan-Erik Mångs, Bob Melander, Mats Björkman
Real-Time Measurement of End-to-End Available Bandwidth using Kalman Filtering. NOMS (2006)
Andreas Johnsson, Bob Melander, Mats Björkman
Bandwidth Measurement in Wireless Networks. Med-Hoc-Net (2005)
Andreas Johnsson, Mats Björkman, Bob Melander
A Study of Dispersion-based Measurement Methods in IEEE 802.11 Ad-hoc Networks. Communications in Computing (2004)
Andreas Johnsson, Bob Melander, Mats Björkman
On the Analysis of Packet-Train Probing Schemes. Communications in Computing (2004)