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Umeå University
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Staff photo Erik Elmroth

Erik Elmroth

Research in autonomous distributed systems, cloud and edge computing. Member of the Executive Committee of The Wallenberg AI, Autonomous Systems and Software Program (WASP) and the eSSENCE lead group

Contact

E-mail
erik.elmroth@umu.se
Phone
+46 90 786 69 86, +46 70 315 39 28

Works at

Affiliation
Professor at Department of Computing Science Role: Head of department
Location
Naturvetarhuset, Umeå universitet, NAT.B1.201 Umeå universitet, 901 87 Umeå
Multi-Diseases Classification From Chest-X-Ray: A Federated Deep Learning Approach
AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings, Springer 2020 : 3-15
Banerjee, Sourasekhar; Misra, Rajiv; Prasad, Mukesh; et al.
Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers
28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), IEEE conference proceedings 2020 : 88-93
Krzywda, Jakub; Meyer, Vinici­us; Xavier, Miguel G.; et al.
Impact of etcd deployment on Kubernetes, Istio, and application performance
Software, practice & experience, John Wiley & Sons 2020, Vol. 50, (10) : 1986-2007
Larsson, Lars; Tarneberg, William; Klein, Cristian; et al.
Elasticity Control for Latency-IntolerantMobile Edge Applications
The Fifth ACM/IEEE Symposium on Edge Computing, Virtual, November 11-13, 2020 : 70-83
Nguyen, Chanh Le Tan; Klein, Cristian; Elmroth, Erik
Boosted Ensemble Learning for Anomaly Detection in 5G RAN
Artificial Intelligence Applications and Innovations, AIAI 2020, Springer 2020 : 15-30
Sundqvist, Tobias; Bhuyan, Monowar H.; Forsman, Johan; et al.
SDN-Enabled IoT Anomaly Detection Using Ensemble Learning
Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II, Springer 2020 : 268-280
Tsogbaatar, Enkhtur; Bhuyan, Monowar H.; Taenaka, Yuzo; et al.
Information-theoretic Ensemble Learning for DDoS Detection with Adaptive Boosting
2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), IEEE Computer Society 2019 : 995-1002
Bhuyan, Monowar H.; Ma, Maode; Kadobayashi, Youki; et al.
Adversarial Impact on Anomaly Detectionin Cloud Datacenters
2019 IEEE 24th Pacific Rim International Symposium on Dependable Computing (PRDC), IEEE 2019 : 188-197
Deka, Pratyush Kr.; Bhuyan, Monowar H.; Kadobayashi, Youki; et al.
TVis: A Light-weight Traffic Visualization System for DDoS Detection
The Proceedings: 2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
Kalwar, Abhishek; Bhuyan, Monowar H.; Bhattacharyya, Dhruba K.; et al.
Power Shepherd: Application Performance Aware Power Shifting
Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom, IEEE Computer Society 2019 : 45-53
Krzywda, Jakub; Ali-Eldin, Ahmed; Wadbro, Eddie; et al.
Quality-Elasticity: Improved Resource Utilization, Throughput, and Response Times Via Adjusting Output Quality to Current Operating Conditions
2019 IEEE International Conference on Autonomic Computing (ICAC), IEEE 2019 : 52-62
Larsson, Lars; Tärneberg, William; Klein, Cristian; et al.
Multivariate LSTM-Based Location-Aware Workload Prediction for Edge Data Centers
Proceedings, 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, IEEE 2019 : 341-350
Nguyen, Chanh; Klein, Cristian; Elmroth, Erik
Why Cloud Applications Are not Ready for the Edge (yet)
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, IEEE 2019 : 250-263
Nguyen, Chanh Le Tan; Mehta, Amardeep; Klein, Cristian; et al.
Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics
Proceedings of The World Wide Web Conference WWW 2019, New York, NY, USA: ACM Digital Library 2019 : 3595-3599
Vu, Xuan-Son; Ait-Mlouk, Addi; Elmroth, Erik; et al.
SmallTail: Scaling Cores and Probabilistic Cloning Requests for Web Systems
15TH IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING (ICAC 2018), IEEE 2018 : 31-40
Bayuh Lakew, Ewnetu; Birke, Robert; Perez, Juan F.; et al.
Multi-Scale Low-Rate DDoS Attack Detection Using the Generalized Total Variation Metric
17th IEEE International Conference on Machine Learning and Applications, IEEE 2018 : 1040-1047
Bhuyan, Monowar H.; Elmroth, Erik
ScSF: a scheduling simulation framework
Proceedings of the 21th Workshop on Job Scheduling Strategies for Parallel Processing, Springer 2018 : 152-173
Gonzalo P., Rodrigo; Elmroth, Erik; Östberg, Per-Olov; et al.
Adaptive Anomaly Detection in Performance Metric Streams
IEEE Transactions on Network and Service Management, IEEE 2018, Vol. 15, (1) : 217-231
Ibidunmoye, Olumuyiwa; Ali-Reza, Rezaie; Elmroth, Erik
Efficient Resource Management for Data Centers: The ACTiCLOUD Approach
2018 International conference on embedded computer systems: architectures, modeling, and simulation (SAMOS XVIII), Association for Computing Machinery (ACM) 2018 : 244-246
Karakostas, Vasileios; Goumas, Georgios; Bayuh Lakew, Ewnetu; et al.
ALPACA: Application Performance Aware Server Power Capping
ICAC 2018: 2018 IEEE International Conference on Autonomic Computing (ICAC), Trento, Italy, September 3-7, 2018, IEEE Computer Society 2018 : 41-50
Krzywda, Jakub; Ali-Eldin, A.; Wadbro, Eddie; et al.
Power-performance tradeoffs in data center servers: DVFS, CPUpinning, horizontal, and vertical scaling
Future generations computer systems, Vol. 81 : 114-128
Krzywda, Jakub; Ali-Eldin, Ahmed; Carlson, Trevor E.; et al.
Utility-based Allocation of Industrial IoT Applications in Mobile Edge Clouds
Report / UMINF, 18.11
Mehta, Amardeep; Bayuh Lakew, Ewnetu; Tordsson, Johan; et al.
Utility-based Allocation of Industrial IoT Applications in Mobile Edge Clouds
2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC)
Mehta, Amardeep; Bayuh Lakew, Ewnetu; Tordsson, Johan; et al.
Distributed Cost-Optimized Placement for Latency-Critical Applications in Heterogeneous Environments
Proceedings of the IEEE 15th International Conference on Autonomic Computing (ICAC), IEEE Computer Society 2018 : 121-130
Mehta, Amardeep; Elmroth, Erik
Towards understanding HPC users and systems: a NERSC case study
Journal of Parallel and Distributed Computing, Elsevier 2018, Vol. 111 : 206-221
Rodrigo, Gonzalo P.; Östberg, Per-Olov; Elmroth, Erik; et al.
Connecting Fog and Cloud Computing
IEEE Cloud Computing, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2017, Vol. 4, (2) : 22-25
Elmroth, Erik; Leitner, Philipp; Schulte, Stefan; et al.
ACTiCLOUD: Enabling the Next Generation of Cloud Applications
2017 IEEE 37TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2017), IEEE Computer Society 2017 : 1836-1845
Goumas, Georgios; Nikas, Konstantinos; Lakew, Ewnetu Bayuh; et al.
A Black-box Approach for Detecting Systems Anomalies in Virtualized Environments
2017 IEEE International Conference on Cloud and Autonomic Computing (ICCAC 2017), IEEE 2017 : 22-33
Ibidunmoye, Olumuyiwa; Lakew, Ewnetu Bayuh; Elmroth, Erik
Performance Anomaly Detection using Datacenter Landscape Graphs
2nd IEEE International Conference on Big Data, Cloud Computing, and Data Science (BCD 2017), Hamamatsu, Japan, July 9-13, 2017
Ibidunmoye, Olumuyiwa; Metsch, Thijs; Bayon-Molino, Victor; et al.
Adaptive Service Performance Control using Cooperative Fuzzy Reinforcement Learning in Virtualized Environments
UCC '17 Proceedings of the10th International Conference on Utility and Cloud Computing, IEEE/ACM 2017 : 19-28
Ibidunmoye, Olumuyiwa; Moghadam, Mahshid Helali; Lakew, Ewnetu Bayuh; et al.
KPI-agnostic Control for Fine-Grained Vertical Elasticity
2017 17TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), IEEE 2017 : 589-598
Lakew, Ewnetu Bayuh; Papadopoulos, Alessandro Vittorio; Maggio, Martina; et al.
Calvin Constrained: A Framework for IoT Applications in Heterogeneous Environments
2017 IEEE 37TH International Conference on Distributed Computing Systems (ICDCS 2017), IEEE Computer Society 2017 : 1063-1073
Mehta, Amardeep; Baddour, Rami; Svensson, Fredrik; et al.
Location-aware load prediction in edge data centers
2017 Second International Conference on Fog and Mobile Edge Computing (FMEC), IEEE 2017 : 25-31
Nguyen, Chanh Le Tan; Klein, Cristian; Elmroth, Erik
Power-aware cloud brownout: response time and power consumption control
2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), IEEE 2017 : 2686-2691
Papadopoulos, Alessandro Vittorio; Krzywda, Jakub; Elmroth, Erik; et al.
Power-aware cloud brownout: Response time and power consumption control
2017 IEEE 56th Annual Conference on Decision and Control (CDC), IEEE 2017 : 2686-2691
Papadopoulos, Alessandro Vittorio; Krzywda, Jakub; Elmroth, Erik; et al.
Incentivizing Self-Capping to Increase Cloud Utilization
Proceedings of the 2017 Symposium on Cloud Computing (SOCC '17), Association for Computing Machinery (ACM) 2017 : 52-65
Shahrad, Mohammad; Klein, Cristian; Zheng, Liang; et al.
Dynamic application placement in the Mobile Cloud Network
Future generations computer systems, Vol. 70 : 163-177
Tärneberg, William; Mehta, Amardeep; Wadbro, Eddie; et al.
Personality-based Knowledge Extraction for Privacy-preserving Data Analysis
K-CAP 2017: Proceedings of the Knowledge Capture Conference
Vu, Xuan-Son; Jiang, Lili; Brändström, Anders; et al.
Modeling and Placement of Cloud Services with Internal Structure
IEEE Transactions on Cloud Computing, IEEE Computer Society 2016, Vol. 4, (4) : 429-439
Espling, Daniel; Larsson, Lars; Li, Wubin; et al.
A hybrid cloud controller for vertical memory elasticity: a control-theoretic approach
Future generations computer systems, Elsevier 2016, Vol. 65 : 57-72
Farokhi, Soodeh; Jamshidi, Pooyan; Lakew, Ewnetu Bayuh; et al.
Blackbox Strategies for Detecting Service Performance Anomalies in Virtualized Environments
Report / UMINF, 16.20
Ibidunmoye, Olumuyiwa; Elmroth, Erik
Real-time Detection of Performance Anomalies for Cloud Services
2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS 2016), IEEE Communications Society 2016 : 164-165
Ibidunmoye, Olumuyiwa; Metsch, Thijs; Elmroth, Erik
How beneficial are intermediate layer Data Centers in Mobile Edge Networks?
2016 IEEE 1st International Workshops on Foundations and Applications of Self-* Systems : 222-229
Mehta, Amardeep; Tärneberg, William; Klein, Cristian; et al.
Control-based load-balancing techniques: Analysis and performance evaluation via a randomized optimization approach
Control Engineering Practice, Elsevier 2016, Vol. 52 : 24-34
Papadopoulos, Alessandro Vittorio; Klein, Cristian; Maggio, Martina; et al.
Towards Understanding Job Heterogeneity in HPC: A NERSC Case Study
2016 16TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID) : 521-526
Rodrigo, Gonzalo P.; Östberg, Per-Olov; Elmroth, Erik; et al.
Decentralized cloud datacenter reconsolidation through emergent and topology-aware behavior
Future generations computer systems, Elsevier: 2016, Vol. 56 : 51-63
Sedaghat, Mina; Hernández-Rodriguez, Francisco; Elmroth, Erik
DieHard: Reliable Scheduling to Survive Correlated failures in Cloud Data Centers
2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
Sedaghat, Mina; Wadbro, Eddie; Wilkes, John; et al.
Service Level and Performance Aware Dynamic Resource Allocation in Overbooked Data Centers
2016 16TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID) : 42-51
Tomas, Luis; Bayuh Lakew, Ewnetu; Elmroth, Erik
Analysis and characterization of a Video-on-Demand service workload
Proceedings of the 6th ACM Multimedia Systems Conference, MMSys 2015, ACM Digital Library 2015 : 189-200
Ali-Eldin, Ahmed; Kihl, Maria; Tordsson, Johan; et al.
Contextualization: dynamic configuration of virtual machines
Journal of Cloud Computing - Advances, Systems and Applications, Springer 2015, Vol. 4, (17)
Armstrong, Django; Espling, Daniel; Tordsson, Johan; et al.
View publications in DiVA

Research groups

Research leaders
Autonomous Distributed Systems Lab

Research projects

1 January 2020 until 31 December 2023
Analytics-driven Edge Cloud Automation
1 January 2020 until 31 December 2022
Strategic initiative for international leadership in AI and software
1 January 2020 until 31 December 2023
Anomaly Detection and Countermeasures for Edgeclouds
1 January 2019 until 31 December 2021
DEBLOAT: Code Debloating from Source Code to Large-scale Deployment
1 September 2018 until 31 August 2021
Management Beyond the Edge
1 January 2018 until 31 December 2022
Machine Learning-based Observability and Diagnostics in Future Networks and Mobile Edge Clouds
1 January 2016 until 31 December 2020
Mobility-aware Resource Management for Mobile Edge Clouds
1 January 2016 until 31 December 2020
Autonomous Cloud Management