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Erik Elmroth

Erik Elmroth

D-Index & Metrics

Computer Science

D-Index
42
Citations
8426
World Ranking
8313
National Ranking
61

Overview

Erik Elmroth is affiliated with Umeå University in Sweden and has contributed extensively to the field of Computer Science, with a focus on several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing, and Control and Systems Engineering.

Their research spans various topics, prominently featuring Network Security and Intrusion Detection, Cloud Computing and Resource Management, Privacy-Preserving Technologies in Data, Anomaly Detection Techniques and Applications, Software System Performance and Reliability, Internet Traffic Analysis and Secure E-voting, and Advanced Malware Detection Techniques.

Elmroth's recent publications include several papers published between 2021 and 2024. These are:

  • DeL-IoT: A deep ensemble learning approach to uncover anomalies in IoT, 2021, Internet of Things
  • Deep Reinforcement Learning for Resource Management in Blockchain-Enabled Federated Learning Network, 2022, IEEE Networking Letters
  • Resource-Efficient Federated Learning With Non-IID Data: An Auction Theoretic Approach, 2022, IEEE Internet of Things Journal
  • Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach, 2020, arXiv (Cornell University)
  • FloRa: Flow Table Low-Rate Overflow Reconnaissance and Detection in SDN, 2024, IEEE Transactions on Network and Service Management

Elmroth has collaborated frequently with several co-authors over their career. Notable collaborators include Monowar Bhuyan, Cristian Klein, Eunil Seo, Dusit Niyato, and Thijs Metsch.

Their scholarly output has been published mainly in venues such as arXiv (Cornell University), IEEE Transactions on Network and Service Management, IEEE Access, IEEE Internet of Things Journal, and ACM Computing Surveys.

Throughout their career, Elmroth has focused on addressing complex problems within network security, resource management, and privacy-preserving solutions, contributing to the evolution of these domains through both theoretical and applied research.

Best Publications

  • The reservoir model and architecture for open federated cloud computing

    B. Rochwerger;D. Breitgand;E. Levy;A. Galis

  • OPTIMIS: A holistic approach to cloud service provisioning

    Ana Juan Ferrer;Francisco HernáNdez;Johan Tordsson;Erik Elmroth

  • An adaptive hybrid elasticity controller for cloud infrastructures

    Ahmed Ali-Eldin;Johan Tordsson;Erik Elmroth

  • Recursive Blocked Algorithms and Hybrid Data Structures for Dense Matrix Library Software

    Erik Elmroth;Fred G. Gustavson;Isak Jonsson;Bo Kågström

  • Evaluation of delta compression techniques for efficient live migration of large virtual machines

    Petter Svärd;Benoit Hudzia;Johan Tordsson;Erik Elmroth

  • Performance Anomaly Detection and Bottleneck Identification

    Olumuyiwa Ibidunmoye;Francisco Hernández-Rodriguez;Erik Elmroth

  • A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part I: Versal Deformations

    Alan Edelman;Erik Elmroth;Bo Kågström

  • MicroRCA: Root Cause Localization of Performance Issues in Microservices

    Li Wu;Johan Tordsson;Erik Elmroth;Odej Kao

  • Applying recursion to serial and parallel QR factorization leads to better performance

    E. Elmroth;F. G. Gustavson

  • Accounting and Billing for Federated Cloud Infrastructures

    Erik Elmroth;Fermin Galan Marquez;Daniel Henriksson;David Perales Ferrera

  • Self-management Challenges for Multi-cloud Architectures (Invited Paper)

    Erik Elmroth;Johan Tordsson;Francisco Hernandez;Ahmed Ali-Eldin

  • Grid resource brokering algorithms enabling advance reservations and resource selection based on performance predictions

    Erik Elmroth;Johan Tordsson

  • A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part II: A Stratification-Enhanced Staircase Algorithm

    Alan Edelman;Erik Elmroth;Bo KÅgström

  • Efficient provisioning of bursty scientific workloads on the cloud using adaptive elasticity control

    Ahmed Ali-Eldin;Maria Kihl;Johan Tordsson;Erik Elmroth

  • A grid resource broker supporting advance reservations and benchmark-based resource selection

    Erik Elmroth;Johan Tordsson

  • A virtual machine re-packing approach to the horizontal vs. vertical elasticity trade-off for cloud autoscaling

    Mina Sedaghat;Francisco Hernandez-Rodriguez;Erik Elmroth

  • Modeling for Dynamic Cloud Scheduling Via Migration of Virtual Machines

    Wubin Li;Johan Tordsson;Erik Elmroth

  • A standards-based Grid resource brokering service supporting advance reservations, coallocation, and cross-Grid interoperability

    Erik Elmroth;Johan Tordsson

  • Three fundamental dimensions of scientific workflow interoperability: Model of computation, language, and execution environment

    Erik Elmroth;Francisco Hernández;Johan Tordsson

  • Interfaces for Placement, Migration, and Monitoring of Virtual Machines in Federated Clouds

    Erik Elmroth;Lars Larsson

Frequent Co-Authors

Johan Tordsson
Johan Tordsson Umeå University
Bo Kågström
Bo Kågström Umeå University
Karl-Erik Årzén
Karl-Erik Årzén Lund University
Fred G. Gustavson
Fred G. Gustavson Umeå University
Ignacio M. Llorente
Ignacio M. Llorente Complutense University of Madrid
Alex Galis
Alex Galis University College London
Wolfgang Emmerich
Wolfgang Emmerich University College London
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Yu-Shu Wu
Yu-Shu Wu Colorado School of Mines

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