Erik Elmroth

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 98

Top Venues

CoRR

Future Gener. Comput. Syst.

UCC

CloudCom

Publications

Charles Meyers, Mohammad Reza Saleh Sedghpour, Tommy Löfstedt, Erik Elmroth
A Systematic Approach to Robustness Modelling for Deep Convolutional Neural Networks. CoRR (2024)
Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth
Robust Procedural Learning for Anomaly Detection and Observability in 5G RAN. IEEE Trans. Netw. Serv. Manag. 21 (2) (2024)
Chanh Nguyen, Cristian Klein, Erik Elmroth
State-Aware Application Placement in Mobile Edge Clouds. CLOSER (2024)
Javad Forough, Monowar H. Bhuyan, Erik Elmroth
Unified Identification of Anomalies on the Edge: A Hybrid Sequential PGM Approach. TrustCom (2023)
Charles Meyers, Tommy Löfstedt, Erik Elmroth
Safety-critical computer vision: an empirical survey of adversarial evasion attacks and defenses on computer vision systems. Artif. Intell. Rev. 56 (S1) (2023)
Eunil Seo, Erik Elmroth
MadFed: Enhancing Federated Learning With Marginal-Data Model Fusion. IEEE Access 11 (2023)
Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth
Bottleneck identification and failure prevention with procedural learning in 5G RAN. CCGrid (2023)
Ali Rahmanian, Ahmed Ali-Eldin, Selome Kostentinos Tesfatsion, Björn Skubic, Harald Gustafsson, Prashant J. Shenoy, Erik Elmroth
RAVAS: Interference-Aware Model Selection and Resource Allocation for Live Edge Video Analytics. sec (2023)
Mohammad Reza Saleh Sedghpour, Aleksandra Obeso Duque, Xuejun Cai, Björn Skubic, Erik Elmroth, Cristian Klein, Johan Tordsson
HydraGen: A Microservice Benchmark Generator. CLOUD (2023)
Thijs Metsch, Magdalena Viktorsson, Adrian Hoban, Monica Vitali, Ravi Iyer, Erik Elmroth
Intent-Driven Orchestration: Enforcing Service Level Objectives for Cloud Native Deployments. SN Comput. Sci. 4 (3) (2023)
Eunil Seo, Vinh Pham, Erik Elmroth
Accelerating convergence in wireless federated learning by sharing marginal data. ICOIN (2023)
Javad Forough, Monowar H. Bhuyan, Erik Elmroth
Anomaly Detection and Resolution on the Edge: Solutions and Future Directions. SOSE (2023)
Lidia Kidane, Paul Townend, Thijs Metsch, Erik Elmroth
Automated Hyperparameter Tuning for Adaptive Cloud Workload Prediction. UCC (2023)
Pratyush Kr. Deka, Yash Verma, Adil Bin Bhutto, Erik Elmroth, Monowar H. Bhuyan
Semi-Supervised Range-Based Anomaly Detection for Cloud Systems. IEEE Trans. Netw. Serv. Manag. 20 (2) (2023)
Paul Townend, Alberto P. Martí, Idoia De-la-Iglesia, Nikolaos Matskanis, Thomas Ohlson Timoudas, Torsten Hallmann, Antonio Lalaguna, Kaja Swat, Francesco Renzi, Dominik Bochenski, Marco Mancini, Monowar H. Bhuyan, Marco González-Hierro, Sébastien Dupont, Johan Kristiansson, Rubén S. Montero, Erik Elmroth, Ivá Valdés, Philippe Massonet, Daniel Olsson, Ignacio Martín Llorente, Per-Olov Östberg, Michael Abdou
COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge Continuum. EDGE (2023)
Eunil Seo, Hyoungshick Kim, Bhaskar Krishnamachari, Erik Elmroth
An ICN-Based Data Marketplace Model Based on a Game Theoretic Approach Using Quality-Data Discovery and Profit Optimization. IEEE Trans. Cloud Comput. 11 (2) (2023)
Ryosuke Araki, Kshira Sagar Sahoo, Yuzo Taenaka, Youki Kadobayashi, Erik Elmroth, Monowar H. Bhuyan
Detecting DDoS Attacks on the Network Edge: An Information-Theoretic Correlation Analysis. TrustCom (2023)
Oliver Larsson, Cristian Klein, Erik Elmroth
The Impact of Directed Pod Eviction on Kubernetes Resource Utilization. SOSE (2023)
Adil Bin Bhutto, Xuan-Son Vu, Erik Elmroth, Wee Peng Tay, Monowar H. Bhuyan
Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds. IEEE Access 10 (2022)
Erik Elmroth
15 Years of Cloud Control. CLOSER (2022)
Lidia Kidane, Paul Townend, Thijs Metsch, Erik Elmroth
When and How to Retrain Machine Learning-based Cloud Management Systems. IPDPS Workshops (2022)
Aleksandra Obeso Duque, Cristian Klein, Jinhua Feng, Xuejun Cai, Björn Skubic, Erik Elmroth
A Qualitative Evaluation of Service Mesh-based Traffic Management for Mobile Edge Cloud. CCGRID (2022)
Javad Forough, Monowar Bhuyan, Erik Elmroth
DELA: A Deep Ensemble Learning Approach for Cross-layer VSI-DDoS Detection on the Edge. ICDCS (2022)
Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth
Uncovering latency anomalies in 5G RAN - A combination learner approach. COMSNETS (2022)
Nguyen Quang Hieu, The Anh Tran, Cong Luong Nguyen, Dusit Niyato, Dong In Kim, Erik Elmroth
Deep Reinforcement Learning for Resource Management in Blockchain-Enabled Federated Learning Network. IEEE Netw. Lett. 4 (3) (2022)
Eunil Seo, Dusit Niyato, Erik Elmroth
Resource-Efficient Federated Learning With Non-IID Data: An Auction Theoretic Approach. IEEE Internet Things J. 9 (24) (2022)
William Tärneberg, Emma Fitzgerald, Monowar H. Bhuyan, Paul Townend, Karl-Erik Årzén, Per-Olov Östberg, Erik Elmroth, Johan Eker, Fredrik Tufvesson, Maria Kihl
The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges. 6GNet (2022)
Monica Vitali, Pierluigi Plebani, David Bermbach, Erik Elmroth
Special issue on co-design of data and computation management in Fog Computing. Future Gener. Comput. Syst. 129 (2022)
Aleksandra Obeso Duque, Cristian Klein, Jinhua Feng, Xuejun Cai, Björn Skubic, Erik Elmroth
A Qualitative Evaluation of Service Mesh-based Traffic Management for Mobile Edge Cloud. CoRR (2022)
Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth
Unsupervised root-cause identification of software bugs in 5G RAN. CCNC (2022)
Ali Rahmanian, Ahmed Ali-Eldin, Björn Skubic, Erik Elmroth
MicroSplit: Efficient Splitting of Microservices on Edge Clouds. SEC (2022)
Enkhtur Tsogbaatar, Monowar H. Bhuyan, Doudou Fall, Yuzo Taenaka, Gonchigsumlaa Khishigjargal, Erik Elmroth, Youki Kadobayashi
A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications. IEA/AIE (1) (2021)
HamidReza Arkian, Guillaume Pierre, Johan Tordsson, Erik Elmroth
Model-based Stream Processing Auto-scaling in Geo-Distributed Environments. ICCCN (2021)
Javad Forough, Monowar H. Bhuyan, Erik Elmroth
Detection of VSI-DDoS Attacks on the Edge: A Sequential Modeling Approach. ARES (2021)
Enkhtur Tsogbaatar, Monowar H. Bhuyan, Yuzo Taenaka, Doudou Fall, Gonchigsumlaa Khishigjargal, Erik Elmroth, Youki Kadobayashi
DeL-IoT: A deep ensemble learning approach to uncover anomalies in IoT. Internet Things 14 (2021)
Mulugeta Ayalew Tamiru, Guillaume Pierre, Johan Tordsson, Erik Elmroth
mck8s: An orchestration platform for geo-distributed multi-cluster environments. ICCCN (2021)
Lars Larsson, William Tärneberg, Cristian Klein, Maria Kihl, Erik Elmroth
Adaptive and Application-agnostic Caching in Service Meshes for Resilient Cloud Applications. NetSoft (2021)
Lars Larsson, William Tärneberg, Cristian Klein, Maria Kihl, Erik Elmroth
Towards Soft Circuit Breaking in Service Meshes via Application-agnostic Caching. CoRR (2021)
Li Wu, Johan Tordsson, Erik Elmroth, Odej Kao
Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations. ACSOS (2021)
Sourasekhar Banerjee, Erik Elmroth, Monowar H. Bhuyan
Fed-FiS: a Novel Information-Theoretic Federated Feature Selection for Learning Stability. ICONIP (5) (2021)
Eunil Seo, Dusit Niyato, Erik Elmroth
Auction-based Federated Learning using Software-defined Networking for resource efficiency. CNSM (2021)
HamidReza Arkian, Guillaume Pierre, Johan Tordsson, Erik Elmroth
An experiment-driven performance model of stream processing operators in fog computing environments. SAC (2020)
Ali J. Fahs, Guillaume Pierre, Erik Elmroth
Voilà: Tail-Latency-Aware Fog Application Replicas Autoscaler. MASCOTS (2020)
Li Wu, Johan Tordsson, Erik Elmroth, Odej Kao
MicroRCA: Root Cause Localization of Performance Issues in Microservices. NOMS (2020)
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Erik Elmroth
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach. CoRR (2020)
Simon Kollberg, Ewnetu Bayuh Lakew, Petter Svärd, Erik Elmroth, Johan Tordsson
Spreading the Heat: Multi-cloud Controller for Failover and Cross-Site Offloading. AINA Workshops (2020)
Jakub Krzywda, Vinícius Meyer, Miguel G. Xavier, Ahmed Ali-Eldin, Per-Olov Östberg, César A. F. De Rose, Erik Elmroth
Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers. PDP (2020)
Lars Larsson, William Tärneberg, Cristian Klein, Erik Elmroth, Maria Kihl
Impact of etcd Deployment on Kubernetes, Istio, and Application Performance. CoRR (2020)
Enkhtur Tsogbaatar, Monowar H. Bhuyan, Yuzo Taenaka, Doudou Fall, Gonchigsumlaa Khishigjargal, Erik Elmroth, Youki Kadobayashi
SDN-Enabled IoT Anomaly Detection Using Ensemble Learning. AIAI (2) (2020)
Lars Larsson, William Tärneberg, Cristian Klein, Erik Elmroth, Maria Kihl
Impact of etcd deployment on Kubernetes, Istio, and application performance. Softw. Pract. Exp. 50 (10) (2020)
Tobias Sundqvist, Monowar H. Bhuyan, Johan Forsman, Erik Elmroth
Boosted Ensemble Learning for Anomaly Detection in 5G RAN. AIAI (1) (2020)
Mulugeta Ayalew Tamiru, Johan Tordsson, Erik Elmroth, Guillaume Pierre
An Experimental Evaluation of the Kubernetes Cluster Autoscaler in the Cloud. CloudCom (2020)
Mulugeta Ayalew Tamiru, Guillaume Pierre, Johan Tordsson, Erik Elmroth
Instability in Geo-Distributed Kubernetes Federation: Causes and Mitigation. MASCOTS (2020)
Chanh Nguyen, Cristian Klein, Erik Elmroth
Elasticity Control for Latency-Intolerant Mobile Edge Applications. SEC (2020)
Sourasekhar Banerjee, Rajiv Misra, Mukesh Prasad, Erik Elmroth, Monowar H. Bhuyan
Multi-diseases Classification from Chest-X-ray: A Federated Deep Learning Approach. Australasian Conference on Artificial Intelligence (2020)
Lars Larsson, Harald Gustafsson, Cristian Klein, Erik Elmroth
Decentralized Kubernetes Federation Control Plane. UCC (2020)
Chanh Nguyen, Amardeep Mehta, Cristian Klein, Erik Elmroth
Why cloud applications are not ready for the edge (yet). SEC (2019)
Chanh Nguyen Le Tan, Cristian Klein, Erik Elmroth
Multivariate LSTM-Based Location-Aware Workload Prediction for Edge Data Centers. CCGRID (2019)
Xuan-Son Vu, Addi Ait-Mlouk, Erik Elmroth, Lili Jiang
Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics. WWW (2019)
Jakub Krzywda, Ahmed Ali-Eldin, Eddie Wadbro, Per-Olov Östberg, Erik Elmroth
Power Shepherd: Application Performance Aware Power Shifting. CloudCom (2019)
Lars Larsson, William Tärneberg, Cristian Klein, Erik Elmroth
Quality-Elasticity: Improved Resource Utilization, Throughput, and Response Times Via Adjusting Output Quality to Current Operating Conditions. ICAC (2019)
Jakub Krzywda, Ahmed Ali-Eldin, Trevor E. Carlson, Per-Olov Östberg, Erik Elmroth
Power-Performance Tradeoffs in Data Center Servers: DVFS, CPU pinning, Horizontal, and Vertical Scaling. CoRR (2019)
Monowar H. Bhuyan, Maode Ma, Youki Kadobayashi, Erik Elmroth
Information-Theoretic Ensemble Learning for DDoS Detection with Adaptive Boosting. ICTAI (2019)
Pratyush Kr. Deka, Monowar H. Bhuyan, Youki Kadobayashi, Erik Elmroth
Adversarial Impact on Anomaly Detection in Cloud Datacenters. PRDC (2019)
Jakub Krzywda, Ahmed Ali-Eldin, Trevor E. Carlson, Per-Olov Östberg, Erik Elmroth
Power-performance tradeoffs in data center servers: DVFS, CPU pinning, horizontal, and vertical scaling. Future Gener. Comput. Syst. 81 (2018)
Gonzalo P. Rodrigo, Per-Olov Östberg, Erik Elmroth, Katie Antypas, Richard A. Gerber, Lavanya Ramakrishnan
Towards understanding HPC users and systems: A NERSC case study. J. Parallel Distributed Comput. 111 (2018)
Monowar H. Bhuyan, Erik Elmroth
Multi-scale Low-Rate DDoS Attack Detection Using the Generalized Total Variation Metric. ICMLA (2018)
Olumuyiwa Ibidunmoye, Ali-Reza Rezaie, Erik Elmroth
Adaptive Anomaly Detection in Performance Metric Streams. IEEE Trans. Netw. Serv. Manag. 15 (1) (2018)
Amardeep Mehta, Ewnetu Bayuh Lakew, Johan Tordsson, Erik Elmroth
Utility-based Allocation of Industrial IoT Applications in Mobile Edge Clouds. IPCCC (2018)
Jakub Krzywda, Ahmed Ali-Eldin, Eddie Wadbro, Per-Olov Östberg, Erik Elmroth
ALPACA: Application Performance Aware Server Power Capping. ICAC (2018)
Ewnetu Bayuh Lakew, Robert Birke, Juan F. Pérez, Erik Elmroth, Lydia Y. Chen
SmallTail: Scaling Cores and Probabilistic Cloning Requests for Web Systems. ICAC (2018)
Amardeep Mehta, Erik Elmroth
Distributed Cost-Optimized Placement for Latency-Critical Applications in Heterogeneous Environments. ICAC (2018)
Vasileios Karakostas, Georgios I. Goumas, Ewnetu Bayuh Lakew, Erik Elmroth, Stefanos Gerangelos, Simon Kolberg, Konstantinos Nikas, Stratos Psomadakis, Dimitrios Siakavaras, Petter Svärd, Nectarios Koziris
Efficient resource management for data centers: the ACTiCLOUD approach. SAMOS (2018)
Chanh Nguyen Le Tan, Cristian Klein, Erik Elmroth
Location-aware load prediction in Edge Data Centers. FMEC (2017)
Ewnetu Bayuh Lakew, Alessandro Vittorio Papadopoulos, Martina Maggio, Cristian Klein, Erik Elmroth
KPI-agnostic Control for Fine-Grained Vertical Elasticity. CCGrid (2017)
Xuan-Son Vu, Lili Jiang, Anders Brändström, Erik Elmroth
Personality-based Knowledge Extraction for Privacy-preserving Data Analysis. K-CAP (2017)
Gonzalo Pedro Rodrigo Álvarez, Erik Elmroth, Per-Olov Östberg, Lavanya Ramakrishnan
Enabling Workflow-Aware Scheduling on HPC Systems. HPDC (2017)
Zheng Li, Selome Kostentinos Tesfatsion, Saeed Bastani, Ahmed Ali-Eldin, Erik Elmroth, Maria Kihl, Rajiv Ranjan
A Survey on Modeling Energy Consumption of Cloud Applications: Deconstruction, State of the Art, and Trade-Off Debates. IEEE Trans. Sustain. Comput. 2 (3) (2017)
Mohammad Shahrad, Cristian Klein, Liang Zheng, Mung Chiang, Erik Elmroth, David Wentzlaff
Incentivizing self-capping to increase cloud utilization. SoCC (2017)
Erik Elmroth, Philipp Leitner, Stefan Schulte, Srikumar Venugopal
Connecting Fog and Cloud Computing. IEEE Cloud Comput. 4 (2) (2017)
Olumuyiwa Ibidunmoye, Thijs Metsch, Victor Bayon-Molino, Erik Elmroth
Performance Anomaly Detection Using Datacenter Landscape Graphs. ACIT/CSII/BCD (2017)
Zheng Li, Selome Kostentinos Tesfatsion, Saeed Bastani, Ahmed Ali-Eldin, Erik Elmroth, Maria Kihl, Rajiv Ranjan
A Survey on Modeling Energy Consumption of Cloud Applications: Deconstruction, State of the Art, and Trade-off Debates. CoRR (2017)
Olumuyiwa Ibidunmoye, Ewnetu Bayuh Lakew, Erik Elmroth
A Black-Box Approach for Detecting Systems Anomalies in Virtualized Environments. ICCAC (2017)
Olumuyiwa Ibidunmoye, Mahshid Helali Moghadam, Ewnetu Bayuh Lakew, Erik Elmroth
Adaptive Service Performance Control using Cooperative Fuzzy Reinforcement Learning in Virtualized Environments. UCC (2017)
Amardeep Mehta, Rami Baddour, Fredrik Svensson, Harald Gustafsson, Erik Elmroth
Calvin Constrained - A Framework for IoT Applications in Heterogeneous Environments. ICDCS (2017)
Gonzalo P. Rodrigo, Erik Elmroth, Per-Olov Östberg, Lavanya Ramakrishnan
ScSF: A Scheduling Simulation Framework. JSSPP (2017)
Georgios I. Goumas, Konstantinos Nikas, Ewnetu Bayuh Lakew, Christos Kotselidis, Andrew Attwood, Erik Elmroth, Michail Flouris, Nikos Foutris, John Goodacre, Davide Grohmann, Vasileios Karakostas, Panagiotis Koutsourakis, Martin L. Kersten, Mikel Luján, Einar Rustad, John Thomson, Luis Tomás, Atle Vesterkjaer, Jim Webber, Ying Zhang, Nectarios Koziris
ACTiCLOUD: Enabling the Next Generation of Cloud Applications. ICDCS (2017)
Alessandro Vittorio Papadopoulos, Jakub Krzywda, Erik Elmroth, Martina Maggio
Power-aware cloud brownout: Response time and power consumption control. CDC (2017)
William Tärneberg, Amardeep Mehta, Eddie Wadbro, Johan Tordsson, Johan Eker, Maria Kihl, Erik Elmroth
Dynamic application placement in the Mobile Cloud Network. Future Gener. Comput. Syst. 70 (2017)
Luis Tomás, Ewnetu Bayuh Lakew, Erik Elmroth
Service Level and Performance Aware Dynamic Resource Allocation in Overbooked Data Centers. CCGrid (2016)
Olumuyiwa Ibidunmoye, Thijs Metsch, Erik Elmroth
Real-time detection of performance anomalies for cloud services. IWQoS (2016)
Mina Sedaghat, Francisco Hernández-Rodriguez, Erik Elmroth
Decentralized cloud datacenter reconsolidation through emergent and topology-aware behavior. Future Gener. Comput. Syst. 56 (2016)
Mina Sedaghat, Eddie Wadbro, John Wilkes, Sara de Luna, Oleg Seleznjev, Erik Elmroth
DieHard: Reliable Scheduling to Survive Correlated Failures in Cloud Data Centers. CCGrid (2016)
Daniel Espling, Lars Larsson, Wubin Li, Johan Tordsson, Erik Elmroth
Modeling and Placement of Cloud Services with Internal Structure. IEEE Trans. Cloud Comput. 4 (4) (2016)
Gonzalo Pedro Rodrigo Álvarez, Per-Olov Östberg, Erik Elmroth, Katie Antypas, Richard A. Gerber, Lavanya Ramakrishnan
Towards Understanding Job Heterogeneity in HPC: A NERSC Case Study. CCGrid (2016)
Alessandro Vittorio Papadopoulos, Ahmed Ali-Eldin, Karl-Erik Årzén, Johan Tordsson, Erik Elmroth
PEAS: A Performance Evaluation Framework for Auto-Scaling Strategies in Cloud Applications. ACM Trans. Model. Perform. Evaluation Comput. Syst. 1 (4) (2016)
Soodeh Farokhi, Pooyan Jamshidi, Ewnetu Bayuh Lakew, Ivona Brandic, Erik Elmroth
A hybrid cloud controller for vertical memory elasticity: A control-theoretic approach. Future Gener. Comput. Syst. 65 (2016)
Amardeep Mehta, William Tärneberg, Cristian Klein, Johan Tordsson, Maria Kihl, Erik Elmroth
How Beneficial Are Intermediate Layer Data Centers in Mobile Edge Networks? FAS*W@SASO/ICCAC (2016)
Olumuyiwa Ibidunmoye, Francisco Hernández-Rodriguez, Erik Elmroth
Performance Anomaly Detection and Bottleneck Identification. ACM Comput. Surv. 48 (1) (2015)
Jakub Krzywda, William Tärneberg, Per-Olov Östberg, Maria Kihl, Erik Elmroth
Telco Clouds - Modelling and Simulation. CLOSER (2015)

Erik Elmroth.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Erik Elmroth