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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
Detection of VSI-DDoS Attacks on the Edge: A Sequential Modeling Approach
ARES 2021: The 16th International Conference on Availability, Reliability and Security
Forough, Javad; Bhuyan, Monowar H.; Elmroth, Erik
Adaptive and Application-agnostic Caching in Service Meshes for Resilient Cloud Applications
Proceedings of the 2021 IEEE Conference on Network Softwarization: Accelerating Network Softwarization in the Cognitive Age, NetSoft 2021, IEEE 2021 : 176-180
Larsson, Lars; Tärneberg, William; Klein, Cristian; et al.
mck8s: An Orchestration Platform for Geo-distributed Multi-cluster Environments
Athens, Greece: 2021
Tamiru, Mulugeta; Pierre, Guillaume; Tordsson, Johan; et al.
DeL-IoT: A Deep Ensemble Learning Approach to Uncover Anomalies in IoT
Internet of Things, Elsevier 2021, Vol. 14
Tsogbaatar, E.; Bhuyan, Monowar H.; Taenaka, Y.; et al.
A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications
Advances and Trends in Artificial Intelligence: Artificial Intelligence Practices : Proceedings, Part I, Springer 2021 : 530-543
Tsogbaatar, Enkhtur; Bhuyan, Monowar H.; Fall, Doudou; et al.
MicroDiag: Fine-grained Performance Diagnosis for Microservice Systems
The Workshop on Cloud Intelligence (In conjunction with the 43rd International Conference on Software Engineering), Virtual, May 29, 2021
Wu, Li; Tordsson, Johan; Bogatinovski, Jasmin; et al.
An Experiment-Driven Performance Model of Stream Processing Operators in Fog Computing Environments
SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing, ACM Digital Library 2020 : 1763-1771
Arkian, Hamidreza; Pierre, Guillaume; Tordsson, Johan; et al.
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.
Voilà: Tail-latency-aware Fog Application Replicas Autoscaler
IEEE Computer Society Digital Library 2020
Fahs, A. J.; Pierre, Guillaume; Elmroth, Erik
Spreading the Heat: Multi-cloud Controller for Failover and Cross-site Offloading
Web, Artificial Intelligence and Network Applications: WAINA 2020, Springer Nature 2020 : 1154-1164
Kolberg, Simon; Bayuh Lakew, Ewnetu; Svärd, Petter; 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.
Decentralized Kubernetes Federation Control Plane
2020 IEEE/ACM 13TH INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING (UCC 2020), IEEE 2020 : 354-359
Larsson, Lars; Gustafsson, Harald; Klein, Cristian; 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, Institute of Electrical and Electronics Engineers (IEEE) 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.
Instability in Geo-Distributed Kubernetes Federation: Causes and Mitigation
Conference Proceedings: 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) : 1-8
Tamiru, Mulugeta; Pierre, Guillaume; Tordsson, Johan; et al.
An Experimental Evaluation of the Kubernetes Cluster Autoscaler in the Cloud
2020 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), IEEE 2020 : 17-24
Tamiru, Mulugeta; Tordsson, Johan; Elmroth, Erik; 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.
MicroRCA: Root Cause Localization of Performance Issues in Microservices
NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, IEEE 2020 : 1-9
Wu, Li; Tordsson, Johan; Elmroth, Erik; 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
Inter-disciplinary Research Challenges in Computer Systems for the 2020s
Cohen, Albert; Shen, Xipeng; Torrellas, Josep; et al.
ScSF: a scheduling simulation framework
Job Scheduling Strategies for Parallel Processing: 21st International Workshop, JSSPP 2017, Orlando, FL, USA, June 2, 2017, Revised Selected Papers, 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.
View publications in DiVA

Research groups

Research leaders
Autonomous Distributed Systems Lab

Research projects

1 January 2020 until 31 December 2023
Anomaly Detection and Countermeasures for Edgeclouds
1 January 2020 until 31 December 2022
Strategic initiative for international leadership in AI and software
1 January 2020 until 31 December 2023
Analytics-driven Edge Cloud Automation
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
Autonomous Cloud Management
1 January 2016 until 31 December 2020
Mobility-aware Resource Management for Mobile Edge Clouds