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Andreas Johnsson
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2020 – today
- 2024
- [c47]Adam Orucu, Farnaz Moradi, Masoumeh Ebrahimi, Andreas Johnsson:
On Multi-Objective Neural Architecture Search for Modeling Network Performance. NoF 2024: 214-218 - [c46]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: 1-9 - [c45]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: 1-7 - [c44]Simon Lindståhl
, Alexandre Proutière
Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification. SIGMETRICS/Performance (Abstracts) 2024: 83-84 - [c43]Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
RoME-QCD: Robust and Measurement Efficient Quickest Change Detection in 5G Networks. TMA 2024: 1-11 - [i8]Adam Orucu, Farnaz Moradi, Masoumeh Ebrahimi, Andreas Johnsson:
Towards Neural Architecture Search for Transfer Learning in 6G Networks. CoRR abs/2406.02333 (2024) - 2023
- [j3]Simon Lindståhl
Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification. Proc. ACM Meas. Anal. Comput. Syst. 7(3): 53:1-53:30 (2023) - [c42]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: 1-4 - [c41]Hannes Larsson, Farnaz Moradi, Jalil Taghia, Xiaoyu Lan, Andreas Johnsson:
Domain Adaptation for Network Performance Modeling with and without Labeled Data. NOMS 2023: 1-9 - [i7]Andreas Johnsson, Bob Melander, Mats Björkman:
DietTopp: A first implementation and evaluation of a simplified bandwidth measurement method. CoRR abs/2301.06405 (2023) - 2022
- [c40]Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach. GLOBECOM 2022: 1484-1490 - [c39]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: 1-2 - [c38]Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson:
Policy-Induced Unsupervised Feature Selection: A Networking Case Study. INFOCOM 2022: 750-759 - [c37]Fernando García Sanz, Masoumeh Ebrahimi, Andreas Johnsson:
Exploring Approaches for Heterogeneous Transfer Learning in Dynamic Networks. NOMS 2022: 1-9 - [c36]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: 8-14 - [i6]Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach. CoRR abs/2204.06910 (2022) - [i5]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 abs/2205.03098 (2022) - 2021
- [j2]Forough Shahab Samani
Conditional Density Estimation of Service Metrics for Networked Services. IEEE Trans. Netw. Serv. Manag. 18(2): 2350-2364 (2021) - [c35]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: 206-207 - [c34]Xiaoxuan Wang, Forough Shahab Samani, Andreas Johnsson, Rolf Stadler:
Online Feature Selection for Low-overhead Learning in Networked Systems. CNSM 2021: 527-529 - [c33]Aleksandr Zavodovski
Decentralizing Computation with Edge Computing: Potential and Challenges. IWCI@CoNEXT 2021: 34-36 - [c32]Fernando García Sanz, Masoumeh Ebrahimi, Andreas Johnsson:
On Heterogeneous Transfer Learning for Improved Network Service Performance Prediction. GLOBECOM 2021: 1-6 - [c31]Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson:
Towards Source Selection in Transfer Learning for Cloud Performance Prediction. IM 2021: 599-603 - [c30]Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson:
Source Selection in Transfer Learning for Improved Service Performance Predictions. Networking 2021: 1-9 - 2020
- [c29]Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Predictive Bandits. CDC 2020: 1170-1176 - [c28]Christofer Flinta, Wenqing Yan, Andreas Johnsson:
Predicting Round-Trip Time Distributions in IoT Systems using Histogram Estimators. NOMS 2020: 1-9 - [c27]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: 1-6 - [i4]Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Predictive Bandits. CoRR abs/2004.01141 (2020)
2010 – 2019
- 2019
- [c26]Andreas Johnsson, Christofer Flinta, Wenqing Yan:
Machine Learning Based Active Measurement Proxy for IoT Systems. IM 2019: 198-206 - [c25]Andreas Johnsson, Farnaz Moradi, Rolf Stadler:
Performance Prediction in Dynamic Clouds using Transfer Learning. IM 2019: 242-250 - [c24]Forough Shahab, Rolf Stadler, Andreas Johnsson, Christofer Flinta:
Demonstration: Predicting Distributions of Service Metrics. IM 2019: 745-746 - [c23]Selim Ickin, Jawwad Ahmed, Andreas Johnsson, Jörgen Gustafsson:
On Network Performance Indicators for Network Promoter Score Estimation. QoMEX 2019: 1-3 - 2018
- [j1]Rerngvit Yanggratoke
A service-agnostic method for predicting service metrics in real time. Int. J. Netw. Manag. 28(2) (2018) - [c22]Jawwad Ahmed, Tim Josefsson, Andreas Johnsson, Christofer Flinta, Farnaz Moradi, Rafael Pasquini, Rolf Stadler:
Automated diagnostic of virtualized service performance degradation. NOMS 2018: 1-9 - [c21]Andreas Johnsson, Christian Rohner:
On performance observability in IoT systems using active measurements. NOMS 2018: 1-5 - 2017
- [c20]Farnaz Moradi, Christofer Flinta, Andreas Johnsson, Catalin Meirosu:
ConMon: An automated container based network performance monitoring system. IM 2017: 54-62 - [c19]Jawwad Ahmed, Andreas Johnsson, Farnaz Moradi, Rafael Pasquini
Online approach to performance fault localization for cloud and datacenter services. IM 2017: 873-874 - [c18]Christofer Flinta, Andreas Johnsson, Jawwad Ahmed, Farnaz Moradi, Rafael Pasquini
Real-time resource prediction engine for cloud management. IM 2017: 877-878 - [c17]Rafael Pasquini
Predicting SLA conformance for cluster-based services. Networking 2017: 1-2 - 2016
- [c16]Andreas Johnsson, Catalin Meirosu
On Measurement Endpoint Placement Using Genetic Algorithms for Network Observability. GLOBECOM 2016: 1-6 - [c15]Farnaz Moradi, Christofer Flinta, Andreas Johnsson, Catalin Meirosu
On time-stamp accuracy of passive monitoring in a container execution environment. Networking 2016: 117-125 - [c14]Jawwad Ahmed, Andreas Johnsson, Rerngvit Yanggratoke, John Ardelius, Christofer Flinta, Rolf Stadler:
Predicting SLA conformance for cluster-based services using distributed analytics. NOMS 2016: 848-852 - 2015
- [c13]Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad
Predicting service metrics for cluster-based services using real-time analytics. CNSM 2015: 135-143 - [c12]Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad
Predicting real-time service-level metrics from device statistics. IM 2015: 414-422 - [c11]Ramide Dantas, Djamel Sadok, Christofer Flinta, Andreas Johnsson:
KVM virtualization impact on active round-trip time measurements. IM 2015: 810-813 - [c10]Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad
A platform for predicting real-time service-level metrics from device statistics. IM 2015: 1141-1142 - [i3]Svante Ekelin, Andreas Johnsson, Christofer Flinta:
Scalability and Dimensioning of Network-Capacity Measurement System using Reflecting Servers. CoRR abs/1505.06310 (2015) - [i2]Jawwad Ahmed, Andreas Johnsson, Rerngvit Yanggratoke, John Ardelius, Christofer Flinta, Rolf Stadler:
Predicting SLA Violations in Real Time using Online Machine Learning. CoRR abs/1509.01386 (2015) - 2014
- [c9]Andreas Johnsson, Catalin Meirosu
Online network performance degradation localization using probabilistic inference and change detection. NOMS 2014: 1-8 - 2013
- [c8]Andreas Johnsson, Catalin Meirosu:
Towards automatic network fault localization in real time using probabilistic inference. IM 2013: 1393-1398 - 2012
- [i1]Steve Baillargeon, Christofer Flinta, Andreas Johnsson:
Ericsson Two-Way Active Measurement Protocol (TWAMP) Value-Added Octets. RFC 6802: 1-15 (2012) - 2011
- [c7]Andreas Johnsson, Catalin Meirosu
Towards automatic provisioning and validation of Ethernet services over transport networks. Integrated Network Management 2011: 1103-1108
2000 – 2009
- 2008
- [c6]Andreas Johnsson, Mats Björkman:
On measuring available bandwidth in wireless networks. LCN 2008: 861-868 - 2007
- [b1]Andreas Johnsson:
Modeling, Implementation and Evaluation of IP Network Bandwidth Measurement Methods. Mälardalen University, Sweden, 2007 - 2006
- [c5]Andreas Johnsson, Mats Björkman, Bob Melander:
An Analysis of Active End-to-end Bandwidth Measurements in Wireless Networks. E2EMON 2006: 74-81 - [c4]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: 73-84 - 2005
- [c3]Andreas Johnsson, Bob Melander, Mats Björkman:
Bandwidth Measurement in Wireless Networks. Med-Hoc-Net 2005: 89-98 - 2004
- [c2]Andreas Johnsson, Mats Björkman, Bob Melander:
A Study of Dispersion-based Measurement Methods in IEEE 802.11 Ad-hoc Networks. Communications in Computing 2004: 227-230 - [c1]Andreas Johnsson, Bob Melander, Mats Björkman:
On the Analysis of Packet-Train Probing Schemes. Communications in Computing 2004: 238-244
Coauthor Index
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last updated on 2024-11-25 23:41 CET by the dblp team
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