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Erik Elmroth
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- affiliation: Umeå University
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Journal Articles
- 2024
- [j45]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): 1432-1445 (2024) - 2023
- [j44]Eunil Seo, Erik Elmroth:
MadFed: Enhancing Federated Learning With Marginal-Data Model Fusion. IEEE Access 11: 102669-102680 (2023) - [j43]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): 217-251 (2023) - [j42]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): 268 (2023) - [j41]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): 2110-2126 (2023) - [j40]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): 1290-1304 (2023) - 2022
- [j39]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: 94677-94690 (2022) - [j38]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: 423-424 (2022) - [j37]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): 137-141 (2022) - [j36]Eunil Seo, Dusit Niyato, Erik Elmroth:
Resource-Efficient Federated Learning With Non-IID Data: An Auction Theoretic Approach. IEEE Internet Things J. 9(24): 25506-25524 (2022) - 2021
- [j35]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: 100391 (2021) - 2020
- [j34]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): 1986-2007 (2020) - 2018
- [j33]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: 114-128 (2018) - [j32]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: 206-221 (2018) - [j31]Olumuyiwa Ibidunmoye, Ali-Reza Rezaie, Erik Elmroth:
Adaptive Anomaly Detection in Performance Metric Streams. IEEE Trans. Netw. Serv. Manag. 15(1): 217-231 (2018) - 2017
- [j30]Erik Elmroth, Philipp Leitner, Stefan Schulte, Srikumar Venugopal:
Connecting Fog and Cloud Computing. IEEE Cloud Comput. 4(2): 22-25 (2017) - [j29]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: 163-177 (2017) - [j28]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): 255-274 (2017) - 2016
- [j27]Mina Sedaghat, Francisco Hernández-Rodriguez, Erik Elmroth:
Decentralized cloud datacenter reconsolidation through emergent and topology-aware behavior. Future Gener. Comput. Syst. 56: 51-63 (2016) - [j26]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: 57-72 (2016) - [j25]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): 429-439 (2016) - [j24]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): 15:1-15:31 (2016) - 2015
- [j23]Olumuyiwa Ibidunmoye, Francisco Hernández-Rodriguez, Erik Elmroth:
Performance Anomaly Detection and Bottleneck Identification. ACM Comput. Surv. 48(1): 4:1-4:35 (2015) - [j22]Django Armstrong, Daniel Espling, Johan Tordsson, Karim Djemame, Erik Elmroth:
Contextualization: dynamic configuration of virtual machines. J. Cloud Comput. 4: 17 (2015) - [j21]Petter Svärd, Benoit Hudzia, Steve Walsh, Johan Tordsson, Erik Elmroth:
Principles and Performance Characteristics of Algorithms for Live VM Migration. ACM SIGOPS Oper. Syst. Rev. 49(1): 142-155 (2015) - 2013
- [j20]Per-Olov Östberg, Daniel Espling, Erik Elmroth:
Decentralized scalable fairshare scheduling. Future Gener. Comput. Syst. 29(1): 130-143 (2013) - [j19]Per-Olov Östberg, Erik Elmroth:
GJMF - a composable service-oriented grid job management framework. Future Gener. Comput. Syst. 29(1): 144-157 (2013) - 2012
- [j18]Ana Juan Ferrer, Francisco Hernández-Rodriguez, Johan Tordsson, Erik Elmroth, Ahmed Ali-Eldin, Csilla Zsigri, Raül Sirvent, Jordi Guitart, Rosa M. Badia, Karim Djemame, Wolfgang Ziegler, Theo Dimitrakos, Srijith K. Nair, George Kousiouris, Kleopatra Konstanteli, Theodora A. Varvarigou, Benoit Hudzia, Alexander Kipp, Stefan Wesner, Marcelo Corrales, Nikolaus Forgó, Tabassum Sharif, Craig Sheridan:
OPTIMIS: A holistic approach to cloud service provisioning. Future Gener. Comput. Syst. 28(1): 66-77 (2012) - 2010
- [j17]Erik Elmroth, Francisco Hernández-Rodriguez, Johan Tordsson:
Three fundamental dimensions of scientific workflow interoperability: Model of computation, language, and execution environment. Future Gener. Comput. Syst. 26(2): 245-256 (2010) - [j16]Erik Elmroth, Daniel Henriksson:
Distributed usage logging for federated Grids. Future Gener. Comput. Syst. 26(8): 1215-1225 (2010) - 2009
- [j15]Erik Elmroth, Johan Tordsson:
A standards-based Grid resource brokering service supporting advance reservations, coallocation, and cross-Grid interoperability. Concurr. Comput. Pract. Exp. 21(18): 2298-2335 (2009) - [j14]Benny Rochwerger, David Breitgand, Eliezer Levy, Alex Galis, Kenneth Nagin, Ignacio Martín Llorente, Rubén S. Montero, Yaron Wolfsthal, Erik Elmroth, Juan A. Cáceres, Muli Ben-Yehuda, Wolfgang Emmerich, Fermín Galán:
The Reservoir model and architecture for open federated cloud computing. IBM J. Res. Dev. 53(4): 4 (2009) - [j13]Erik Elmroth, Mats Nylén, Roger Oscarsson:
A user-centric cluster and grid computing portal. Int. J. Comput. Sci. Eng. 4(2): 127-134 (2009) - [j12]Erik Elmroth, Stefan Johansson, Bo Kågström:
Stratification of Controllability and Observability Pairs - Theory and Use in Applications. SIAM J. Matrix Anal. Appl. 31(2): 203-226 (2009) - 2008
- [j11]Peter Gardfjäll, Erik Elmroth, S. Lennart Johnsson, Olle Mulmo, Thomas Sandholm:
Scalable Grid-wide capacity allocation with the SweGrid Accounting System (SGAS). Concurr. Comput. Pract. Exp. 20(18): 2089-2122 (2008) - [j10]Erik Elmroth, Johan Tordsson:
Grid resource brokering algorithms enabling advance reservations and resource selection based on performance predictions. Future Gener. Comput. Syst. 24(6): 585-593 (2008) - 2006
- [j9]Thomas Sandholm, Peter Gardfjäll, Erik Elmroth, Olle Mulmo, S. Lennart Johnsson:
A Service-Oriented Approach to Enforce Grid Resource Allocations. Int. J. Cooperative Inf. Syst. 15(3): 439-459 (2006) - 2004
- [j8]Niklas Edmundsson, Erik Elmroth, Bo Kågström, Markus Mårtensson, Mats Nylén, Åke Sandgren, Mattias Wadenstein:
Design and evaluation of a TOP100 Linux Super Cluster system. Concurr. Pract. Exp. 16(8): 735-750 (2004) - [j7]Erik Elmroth, Fred G. Gustavson, Isak Jonsson, Bo Kågström:
Recursive Blocked Algorithms and Hybrid Data Structures for Dense Matrix Library Software. SIAM Rev. 46(1): 3-45 (2004) - 2001
- [j6]Erik Elmroth, Pedher Johansson, Bo Kågström:
Computation and presentation of graphs displaying closure hierarchies of Jordan and Kronecker structures. Numer. Linear Algebra Appl. 8(6-7): 381-399 (2001) - [j5]Erik Elmroth, Chris H. Q. Ding, Yu-Shu Wu:
High Performance Computations for Large Scale Simulations of Subsurface Multiphase Fluid and Heat Flow. J. Supercomput. 18(3): 235-258 (2001) - 2000
- [j4]Erik Elmroth, Fred G. Gustavson:
Applying recursion to serial and parallel QR factorization leads to better performance. IBM J. Res. Dev. 44(4): 605-624 (2000) - 1999
- [j3]Alan Edelman, Erik Elmroth, Bo Kågström:
A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part II: A Stratification-Enhanced Staircase Algorithm. SIAM J. Matrix Anal. Appl. 20(3): 667-699 (1999) - 1997
- [j2]Alan Edelman, Erik Elmroth, Bo Kågström:
A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part I: Versal Deformations. SIAM J. Matrix Anal. Appl. 18(3): 653-692 (1997) - 1996
- [j1]Erik Elmroth, Bo Kågström:
The Set of 2-by-3 Matrix Pencils - Kronecker Structures and Their Transitions under Perturbations. SIAM J. Matrix Anal. Appl. 17(1): 1-34 (1996)
Conference and Workshop Papers
- 2024
- [c143]Chanh Nguyen, Cristian Klein, Erik Elmroth:
State-Aware Application Placement in Mobile Edge Clouds. CLOSER 2024: 117-128 - 2023
- [c142]Mohammad Reza Saleh Sedghpour, Aleksandra Obeso Duque, Xuejun Cai, Björn Skubic, Erik Elmroth, Cristian Klein, Johan Tordsson:
HydraGen: A Microservice Benchmark Generator. CLOUD 2023: 189-200 - [c141]Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth:
Bottleneck identification and failure prevention with procedural learning in 5G RAN. CCGrid 2023: 426-436 - [c140]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: 12-22 - [c139]Eunil Seo, Vinh Pham, Erik Elmroth:
Accelerating convergence in wireless federated learning by sharing marginal data. ICOIN 2023: 122-127 - [c138]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: 27-39 - [c137]Oliver Larsson, Cristian Klein, Erik Elmroth:
The Impact of Directed Pod Eviction on Kubernetes Resource Utilization. SOSE 2023: 81-90 - [c136]Javad Forough, Monowar H. Bhuyan, Erik Elmroth:
Anomaly Detection and Resolution on the Edge: Solutions and Future Directions. SOSE 2023: 227-238 - [c135]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: 485-494 - [c134]Javad Forough, Monowar H. Bhuyan, Erik Elmroth:
Unified Identification of Anomalies on the Edge: A Hybrid Sequential PGM Approach. TrustCom 2023: 595-604 - [c133]Lidia Kidane, Paul Townend, Thijs Metsch, Erik Elmroth:
Automated Hyperparameter Tuning for Adaptive Cloud Workload Prediction. UCC 2023: 45 - 2022
- [c132]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: 1-5 - [c131]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: 210-219 - [c130]Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth:
Unsupervised root-cause identification of software bugs in 5G RAN. CCNC 2022: 624-630 - [c129]Erik Elmroth:
15 Years of Cloud Control. CLOSER 2022: 5 - [c128]Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth:
Uncovering latency anomalies in 5G RAN - A combination learner approach. COMSNETS 2022: 621-629 - [c127]Javad Forough, Monowar H. Bhuyan, Erik Elmroth:
DELA: A Deep Ensemble Learning Approach for Cross-layer VSI-DDoS Detection on the Edge. ICDCS 2022: 1155-1165 - [c126]Ali Rahmanian, Ahmed Ali-Eldin, Björn Skubic, Erik Elmroth:
MicroSplit: Efficient Splitting of Microservices on Edge Clouds. SEC 2022: 252-264 - [c125]Lidia Kidane, Paul Townend, Thijs Metsch, Erik Elmroth:
When and How to Retrain Machine Learning-based Cloud Management Systems. IPDPS Workshops 2022: 688-698 - 2021
- [c124]Javad Forough, Monowar H. Bhuyan, Erik Elmroth:
Detection of VSI-DDoS Attacks on the Edge: A Sequential Modeling Approach. ARES 2021: 20:1-20:10 - [c123]Li Wu, Johan Tordsson, Erik Elmroth, Odej Kao:
Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations. ACSOS 2021: 21-30 - [c122]Eunil Seo, Dusit Niyato, Erik Elmroth:
Auction-based Federated Learning using Software-defined Networking for resource efficiency. CNSM 2021: 42-48 - [c121]HamidReza Arkian, Guillaume Pierre, Johan Tordsson, Erik Elmroth:
Model-based Stream Processing Auto-scaling in Geo-Distributed Environments. ICCCN 2021: 1-10 - [c120]Mulugeta Ayalew Tamiru, Guillaume Pierre, Johan Tordsson, Erik Elmroth:
mck8s: An orchestration platform for geo-distributed multi-cluster environments. ICCCN 2021: 1-10 - [c119]Sourasekhar Banerjee, Erik Elmroth, Monowar H. Bhuyan:
Fed-FiS: a Novel Information-Theoretic Federated Feature Selection for Learning Stability. ICONIP (5) 2021: 480-487 - [c118]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: 530-543 - [c117]Lars Larsson, William Tärneberg, Cristian Klein, Maria Kihl, Erik Elmroth:
Adaptive and Application-agnostic Caching in Service Meshes for Resilient Cloud Applications. NetSoft 2021: 176-180 - 2020
- [c116]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: 1154-1164 - [c115]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: 3-15 - [c114]Mulugeta Ayalew Tamiru, Johan Tordsson, Erik Elmroth, Guillaume Pierre:
An Experimental Evaluation of the Kubernetes Cluster Autoscaler in the Cloud. CloudCom 2020: 17-24 - [c113]Chanh Nguyen, Cristian Klein, Erik Elmroth:
Elasticity Control for Latency-Intolerant Mobile Edge Applications. SEC 2020: 70-83 - [c112]Tobias Sundqvist, Monowar H. Bhuyan, Johan Forsman, Erik Elmroth:
Boosted Ensemble Learning for Anomaly Detection in 5G RAN. AIAI (1) 2020: 15-30 - [c111]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: 268-280 - [c110]Ali J. Fahs, Guillaume Pierre, Erik Elmroth:
Voilà: Tail-Latency-Aware Fog Application Replicas Autoscaler. MASCOTS 2020: 1-8 - [c109]Mulugeta Ayalew Tamiru, Guillaume Pierre, Johan Tordsson, Erik Elmroth:
Instability in Geo-Distributed Kubernetes Federation: Causes and Mitigation. MASCOTS 2020: 1-8 - [c108]Li Wu, Johan Tordsson, Erik Elmroth, Odej Kao:
MicroRCA: Root Cause Localization of Performance Issues in Microservices. NOMS 2020: 1-9 - [c107]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: 88-93 - [c106]HamidReza Arkian, Guillaume Pierre, Johan Tordsson, Erik Elmroth:
An experiment-driven performance model of stream processing operators in fog computing environments. SAC 2020: 1763-1771 - [c105]Lars Larsson, Harald Gustafsson, Cristian Klein, Erik Elmroth:
Decentralized Kubernetes Federation Control Plane. UCC 2020: 354-359 - 2019
- [c104]Chanh Nguyen Le Tan, Cristian Klein, Erik Elmroth:
Multivariate LSTM-Based Location-Aware Workload Prediction for Edge Data Centers. CCGRID 2019: 341-350 - [c103]Jakub Krzywda, Ahmed Ali-Eldin, Eddie Wadbro, Per-Olov Östberg, Erik Elmroth:
Power Shepherd: Application Performance Aware Power Shifting. CloudCom 2019: 45-53 - [c102]Chanh Nguyen, Amardeep Mehta, Cristian Klein, Erik Elmroth:
Why cloud applications are not ready for the edge (yet). SEC 2019: 250-263 - [c101]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: 52-62 - [c100]Monowar H. Bhuyan, Maode Ma, Youki Kadobayashi, Erik Elmroth:
Information-Theoretic Ensemble Learning for DDoS Detection with Adaptive Boosting. ICTAI 2019: 995-1002 - [c99]Pratyush Kr. Deka, Monowar H. Bhuyan, Youki Kadobayashi, Erik Elmroth:
Adversarial Impact on Anomaly Detection in Cloud Datacenters. PRDC 2019: 188-197 - [c98]Xuan-Son Vu, Addi Ait-Mlouk, Erik Elmroth, Lili Jiang:
Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics. WWW 2019: 3595-3599 - 2018
- [c97]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: 31-40 - [c96]Jakub Krzywda, Ahmed Ali-Eldin, Eddie Wadbro, Per-Olov Östberg, Erik Elmroth:
ALPACA: Application Performance Aware Server Power Capping. ICAC 2018: 41-50 - [c95]Amardeep Mehta, Erik Elmroth:
Distributed Cost-Optimized Placement for Latency-Critical Applications in Heterogeneous Environments. ICAC 2018: 121-130 - [c94]Monowar H. Bhuyan, Erik Elmroth:
Multi-scale Low-Rate DDoS Attack Detection Using the Generalized Total Variation Metric. ICMLA 2018: 1040-1047 - [c93]Amardeep Mehta, Ewnetu Bayuh Lakew, Johan Tordsson, Erik Elmroth:
Utility-based Allocation of Industrial IoT Applications in Mobile Edge Clouds. IPCCC 2018: 1-10 - [c92]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: 244-246 - 2017
- [c91]Ewnetu Bayuh Lakew, Alessandro Vittorio Papadopoulos, Martina Maggio, Cristian Klein, Erik Elmroth:
KPI-agnostic Control for Fine-Grained Vertical Elasticity. CCGrid 2017: 589-598 - [c90]Alessandro Vittorio Papadopoulos, Jakub Krzywda, Erik Elmroth, Martina Maggio:
Power-aware cloud brownout: Response time and power consumption control. CDC 2017: 2686-2691 - [c89]Mohammad Shahrad, Cristian Klein, Liang Zheng, Mung Chiang, Erik Elmroth, David Wentzlaff:
Incentivizing self-capping to increase cloud utilization. SoCC 2017: 52-65 - [c88]Olumuyiwa Ibidunmoye, Thijs Metsch, Victor Bayon-Molino, Erik Elmroth:
Performance Anomaly Detection Using Datacenter Landscape Graphs. ACIT/CSII/BCD 2017: 295-302 - [c87]Chanh Nguyen Le Tan, Cristian Klein, Erik Elmroth:
Location-aware load prediction in Edge Data Centers. FMEC 2017: 25-31 - [c86]Gonzalo Pedro Rodrigo Álvarez, Erik Elmroth, Per-Olov Östberg, Lavanya Ramakrishnan:
Enabling Workflow-Aware Scheduling on HPC Systems. HPDC 2017: 3-14 - [c85]Olumuyiwa Ibidunmoye, Ewnetu Bayuh Lakew, Erik Elmroth:
A Black-Box Approach for Detecting Systems Anomalies in Virtualized Environments. ICCAC 2017: 22-33 - [c84]Amardeep Mehta, Rami Baddour, Fredrik Svensson, Harald Gustafsson, Erik Elmroth:
Calvin Constrained - A Framework for IoT Applications in Heterogeneous Environments. ICDCS 2017: 1063-1073 - [c83]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: 1836-1845 - [c82]Gonzalo P. Rodrigo, Erik Elmroth, Per-Olov Östberg, Lavanya Ramakrishnan:
ScSF: A Scheduling Simulation Framework. JSSPP 2017: 152-173 - [c81]Xuan-Son Vu, Lili Jiang, Anders Brändström, Erik Elmroth:
Personality-based Knowledge Extraction for Privacy-preserving Data Analysis. K-CAP 2017: 44:1-44:4 - [c80]Olumuyiwa Ibidunmoye, Mahshid Helali Moghadam, Ewnetu Bayuh Lakew, Erik Elmroth:
Adaptive Service Performance Control using Cooperative Fuzzy Reinforcement Learning in Virtualized Environments. UCC 2017: 19-28 - 2016
- [c79]Luis Tomás, Ewnetu Bayuh Lakew, Erik Elmroth:
Service Level and Performance Aware Dynamic Resource Allocation in Overbooked Data Centers. CCGrid 2016: 42-51 - [c78]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: 52-59 - [c77]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: 521-526 - [c76]Olumuyiwa Ibidunmoye, Thijs Metsch, Erik Elmroth:
Real-time detection of performance anomalies for cloud services. IWQoS 2016: 1-2 - [c75]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: 222-229 - 2015
- [c74]Ewnetu Bayuh Lakew, Cristian Klein, Francisco Hernández-Rodriguez, Erik Elmroth:
Performance-Based Service Differentiation in Clouds. CCGRID 2015: 505-514 - [c73]Jakub Krzywda, William Tärneberg, Per-Olov Östberg, Maria Kihl, Erik Elmroth:
Telco Clouds - Modelling and Simulation. CLOSER 2015: 597-609 - [c72]Petter Svärd, Wubin Li, Eddie Wadbro, Johan Tordsson, Erik Elmroth:
Continuous Datacenter Consolidation. CloudCom 2015: 387-396 - [c71]Gonzalo Pedro Rodrigo Álvarez, Per-Olov Östberg, Erik Elmroth, Lavanya Ramakrishnan:
A2L2: An Application Aware Flexible HPC Scheduling Model for Low-Latency Allocation. VTDC@HPDC 2015: 11-19 - [c70]Gonzalo Pedro Rodrigo Álvarez, Per-Olov Östberg, Erik Elmroth, Katie Antypas, Richard A. Gerber, Lavanya Ramakrishnan:
HPC System Lifetime Story: Workload Characterization and Evolutionary Analyses on NERSC Systems. HPDC 2015: 57-60 - [c69]Amardeep Mehta, Jonas Durango, Johan Tordsson, Erik Elmroth:
Online Spike Detection in Cloud Workloads. IC2E 2015: 446-451 - [c68]Soodeh Farokhi, Ewnetu Bayuh Lakew, Cristian Klein, Ivona Brandic, Erik Elmroth:
Coordinating CPU and Memory Elasticity Controllers to Meet Service Response Time Constraints. ICCAC 2015: 69-80 - [c67]Jakub Krzywda, Per-Olov Östberg, Erik Elmroth:
A Sensor-Actuator Model for Data Center Optimization. ICCAC 2015: 192-195 - [c66]Thijs Metsch, Olumuyiwa Ibidunmoye, Victor Bayon-Molino, Joe Butler, Francisco Hernández-Rodriguez, Erik Elmroth:
Apex Lake: A Framework for Enabling Smart Orchestration. Middleware Industry 2015: 1:1-1:7 - [c65]Ahmed Ali-Eldin, Maria Kihl, Johan Tordsson, Erik Elmroth:
Analysis and characterization of a video-on-demand service workload. MMSys 2015: 189-200 - 2014
- [c64]Jonas Durango, Manfred Dellkrantz, Martina Maggio, Cristian Klein, Alessandro Vittorio Papadopoulos, Francisco Hernández-Rodriguez, Erik Elmroth, Karl-Erik Årzén:
Control-theoretical load-balancing for cloud applications with brownout. CDC 2014: 5320-5327 - [c63]Per-Olov Östberg, Henning Groenda, Stefan Wesner, James Byrne, Dimitrios S. Nikolopoulos, Craig Sheridan, Jakub Krzywda, Ahmed Ali-Eldin, Johan Tordsson, Erik Elmroth, Christian Stier, Klaus Krogmann, Jörg Domaschka, Christopher B. Hauser, Peter J. Byrne, Sergej Svorobej, Barry McCollum, Zafeirios C. Papazachos, Darren Whigham, Stephan Ruth, Dragana Paurevic:
The CACTOS Vision of Context-Aware Cloud Topology Optimization and Simulation. CloudCom 2014: 26-31 - [c62]Mina Sedaghat, Francisco Hernández-Rodriguez, Erik Elmroth, Sarunas Girdzijauskas:
Divide the Task, Multiply the Outcome: Cooperative VM Consolidation. CloudCom 2014: 300-305 - [c61]Petter Svärd, Benoit Hudzia, Johan Tordsson, Erik Elmroth:
Hecatonchire: Towards Multi-host Virtual Machines by Server Disaggregation. Euro-Par Workshops (2) 2014: 519-529 - [c60]Ahmed Ali-Eldin, Ali Rezaie, Amardeep Mehta, Stanislav Razroev, Sara Sjöstedt de Luna, Oleg Seleznjev, Johan Tordsson, Erik Elmroth:
How will Your Workload Look Like in 6 Years? Analyzing Wikimedia's Workload. IC2E 2014: 349-354 - [c59]Ewnetu Bayuh Lakew, Lei Xu, Francisco Hernández-Rodriguez, Erik Elmroth, Claus Pahl:
A Synchronization Mechanism for Cloud Accounting Systems. ICCAC 2014: 111-120 - [c58]Mina Sedaghat, Francisco Hernández-Rodriguez, Erik Elmroth:
Autonomic Resource Allocation for Cloud Data Centers: A Peer to Peer Approach. ICCAC 2014: 131-140 - [c57]Daniel Espling, Per-Olov Östberg, Erik Elmroth:
Integration and Evaluation of Decentralized Fairshare Prioritization (Aequus). IPDPS Workshops 2014: 1198-1207 - [c56]Gonzalo P. Rodrigo, Per-Olov Östberg, Erik Elmroth:
Priority Operators for Fairshare Scheduling. JSSPP 2014: 70-89 - [c55]Ewnetu Bayuh Lakew, Lei Xu, Francisco Hernández-Rodriguez, Erik Elmroth, Claus Pahl:
A Tree-Based Protocol for Enforcing Quotas in Clouds. SERVICES 2014: 279-286 - [c54]Cristian Klein, Alessandro Vittorio Papadopoulos, Manfred Dellkrantz, Jonas Durango, Martina Maggio, Karl-Erik Årzén, Francisco Hernández-Rodriguez, Erik Elmroth:
Improving Cloud Service Resilience Using Brownout-Aware Load-Balancing. SRDS 2014: 31-40 - [c53]Ewnetu Bayuh Lakew, Cristian Klein, Francisco Hernández-Rodriguez, Erik Elmroth:
Towards Faster Response Time Models for Vertical Elasticity. UCC 2014: 560-565 - [c52]Ahmed Ali-Eldin, Oleg Seleznjev, Sara Sjöstedt de Luna, Johan Tordsson, Erik Elmroth:
Measuring Cloud Workload Burstiness. UCC 2014: 566-572 - 2013
- [c51]Mina Sedaghat, Francisco Hernández-Rodriguez, Erik Elmroth:
A virtual machine re-packing approach to the horizontal vs. vertical elasticity trade-off for cloud autoscaling. CAC 2013: 6:1-6:10 - [c50]Per-Olov Östberg, Erik Elmroth:
Decentralized Prioritization-Based Management Systems for Distributed Computing. e-Science 2013: 228-237 - [c49]Maria Kihl, Erik Elmroth, Johan Tordsson, Karl-Erik Årzén, Anders Robertsson:
The Challenge of Cloud Control. Feedback Computing 2013 - [c48]Andy Edmonds, Thijs Metsch, Dana Petcu, Erik Elmroth, Jamie Marshall, Plamen Ganchosov:
FluidCloud: An Open Framework for Relocation of Cloud Services. HotCloud 2013 - [c47]Wubin Li, Petter Svärd, Johan Tordsson, Erik Elmroth:
Cost-Optimal Cloud Service Placement under Dynamic Pricing Schemes. UCC 2013: 187-194 - 2012
- [c46]Luis Tomás, Per-Olov Östberg, María Blanca Caminero, Carmen Carrión, Erik Elmroth:
Addressing QoS in Grids through a Fairshare Meta-scheduling In-Advance Architecture. 3PGCIC 2012: 226-233 - [c45]Lei Xu, Ewnetu Bayuh Lakew, Francisco Hernández-Rodriguez, Erik Elmroth:
A Scalable Accounting Solution for Prepaid Services in Cloud Systems. IEEE SCC 2012: 81-89 - [c44]Per-Olov Östberg, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, Linda R. Petzold:
Abstractions for Scaling eScience Applications to Distributed Computing Environments - A StratUm Integration Case Study in Molecular Systems Biology. BIOINFORMATICS 2012: 290-294 - [c43]Per-Olov Östberg, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, Linda R. Petzold:
Reducing Complexity in Management of eScience Computations. CCGRID 2012: 845-852 - [c42]Wubin Li, Petter Svärd, Johan Tordsson, Erik Elmroth:
A General Approach to Service Deployment in Cloud Environments. CGC 2012: 17-24 - [c41]Erik Elmroth, Paraskevi Fragopoulou, Artur Andrzejak, Ivona Brandic, Karim Djemame, Paolo Romano:
Topic 6: Grid, Cluster and Cloud Computing. Euro-Par 2012: 311-312 - [c40]Django Armstrong, Daniel Espling, Johan Tordsson, Karim Djemame, Erik Elmroth:
Runtime Virtual Machine Recontextualization for Clouds. Euro-Par Workshops 2012: 567-576 - [c39]Ewnetu Bayuh Lakew, Francisco Hernández-Rodriguez, Lei Xu, Erik Elmroth:
Management of distributed resource allocations in multi-cluster environments. IPCCC 2012: 275-284 - [c38]Ahmed Ali-Eldin, Johan Tordsson, Erik Elmroth:
An adaptive hybrid elasticity controller for cloud infrastructures. NOMS 2012: 204-212 - 2011
- [c37]Mina Sedaghat, Francisco Hernández-Rodriguez, Erik Elmroth:
Unifying Cloud Management: Towards Overall Governance of Business Level Objectives. CCGRID 2011: 591-597 - [c36]Per-Olov Östberg, Erik Elmroth:
Increasing Flexibility and Abstracting Complexity in Service-based Grid and Cloud Software. CLOSER 2011: 240-249 - [c35]Wubin Li, Johan Tordsson, Erik Elmroth:
Modeling for Dynamic Cloud Scheduling Via Migration of Virtual Machines. CloudCom 2011: 163-171 - [c34]Elliot K. Kolodner, Sivan Tal, Dimosthenis Kyriazis, Dalit Naor, Miriam Allalouf, Lucia Bonelli, Per Brand, Albert Eckert, Erik Elmroth, Spyridon V. Gogouvitis, Danny Harnik, Francisco Hernández-Rodriguez, Michael C. Jaeger, Ewnetu Bayuh Lakew, José Manuel Lopez, Mirko Lorenz, Alberto Messina, Alexandra Shulman-Peleg, Roman Talyansky, Athanasios Voulodimos, Yaron Wolfsthal:
A Cloud Environment for Data-intensive Storage Services. CloudCom 2011: 357-366 - [c33]Petter Svärd, Johan Tordsson, Benoit Hudzia, Erik Elmroth:
High Performance Live Migration through Dynamic Page Transfer Reordering and Compression. CloudCom 2011: 542-548 - [c32]Lei Xu, Erik Elmroth:
A Time Interval-Based Credit Reservation Approach for Prepaid Composite Services in Cloud Environments. ECOWS 2011: 158-165 - [c31]Ramin Yahyapour, Christian Pérez, Erik Elmroth, Ignacio Martín Llorente, Francesc Guim Bernat, Karsten Oberle:
Introduction. Euro-Par (1) 2011: 405-406 - [c30]Wubin Li, Johan Tordsson, Erik Elmroth:
Virtual Machine Placement for Predictable and Time-Constrained Peak Loads. GECON 2011: 120-134 - [c29]Per-Olov Östberg, Erik Elmroth:
Mediation of Service Overhead in Service-Oriented Grid Architectures. GRID 2011: 9-18 - [c28]Luis Tomás, Per-Olov Östberg, María Blanca Caminero, Carmen Carrión, Erik Elmroth:
An Adaptable In-advance and Fairshare Meta-scheduling Architecture to Improve Grid QoS. GRID 2011: 220-221 - [c27]Lars Larsson, Daniel Henriksson, Erik Elmroth:
Scheduling and monitoring of internally structured services in Cloud federations. ISCC 2011: 173-178 - [c26]Erik Elmroth, Johan Tordsson, Francisco Hernández-Rodriguez, Ahmed Ali-Eldin, Petter Svärd, Mina Sedaghat, Wubin Li:
Self-management Challenges for Multi-cloud Architectures - (Invited Paper). ServiceWave 2011: 38-49 - [c25]Rosa M. Badia, Marcelo Corrales, Theo Dimitrakos, Karim Djemame, Erik Elmroth, Ana Juan Ferrer, Nikolaus Forgó, Jordi Guitart, Francisco Hernández-Rodriguez, Benoit Hudzia, Alexander Kipp, Kleopatra Konstanteli, George Kousiouris, Srijith K. Nair, Tabassum Sharif, Craig Sheridan, Raül Sirvent, Johan Tordsson, Theodora A. Varvarigou, Stefan Wesner, Wolfgang Ziegler, Csilla Zsigri:
Demonstration of the OPTIMIS Toolkit for Cloud Service Provisioning. ServiceWave 2011: 331-333 - [c24]Petter Svärd, Benoit Hudzia, Johan Tordsson, Erik Elmroth:
Evaluation of delta compression techniques for efficient live migration of large virtual machines. VEE 2011: 111-120 - 2010
- [c23]Mahen Jayawardena, Carl Nettelblad, Salman Zubair Toor, Per-Olov Östberg, Erik Elmroth, Sverker Holmgren:
A Grid-Enabled Problem Solving Environment for QTL Analysis in R. BICoB 2010: 202-209 - [c22]Wubin Li, Johan Tordsson, Erik Elmroth:
An Aspect-Oriented Approach to Consistency-Preserving Caching and Compression of Web Service Response Messages. ICWS 2010: 526-533 - 2009
- [c21]Benny Rochwerger, Alex Galis, David Breitgand, Eliezer Levy, Juan A. Cáceres, Ignacio Martín Llorente, Yaron Wolfsthal, Mark Wusthoff, Stuart Clayman, Clovis Chapman, Wolfgang Emmerich, Erik Elmroth, Rubén Santiago Montero:
Design for Future Internet Service Infrastructures. Future Internet Assembly 2009: 227-237 - [c20]Erik Elmroth, Lars Larsson:
Interfaces for Placement, Migration, and Monitoring of Virtual Machines in Federated Clouds. GCC 2009: 253-260 - [c19]Erik Elmroth, Fermín Galán Márquez, Daniel Henriksson, David Perales Ferrera:
Accounting and Billing for Federated Cloud Infrastructures. GCC 2009: 268-275 - [c18]Benny Rochwerger, Alex Galis, Eliezer Levy, Juan A. Cáceres, David Breitgand, Yaron Wolfsthal, Ignacio Martín Llorente, Mark Wusthoff, Rubén S. Montero, Erik Elmroth:
RESERVOIR: Management technologies and requirements for next generation Service Oriented Infrastructures. Integrated Network Management 2009: 307-310 - 2008
- [c17]Michal Jankowski, Erik Elmroth, Norbert Meyer:
Authorizing Grid Resource Access and Consumption. CoreGRID Workshop on Grid Middleware 2008: 1-12 - 2007
- [c16]Erik Elmroth, Peter Gardfjäll, Arvid Norberg, Johan Tordsson, Per-Olov Östberg:
Grid infrastructure tools for multi-level job management. CoreGRID 2007: 175-184 - [c15]Erik Elmroth, Francisco Hernández-Rodriguez, Johan Tordsson, Per-Olov Östberg:
Designing Service-Based Resource Management Tools for a Healthy Grid Ecosystem. PPAM 2007: 259-270 - [c14]Erik Elmroth, Francisco Hernández-Rodriguez, Johan Tordsson:
A Light-Weight Grid Workflow Execution Engine Enabling Client and Middleware Independence. PPAM 2007: 754-761 - 2005
- [c13]Erik Elmroth, Peter Gardfjäll, Johan Tordsson:
An advanced grid computing course for application and infrastructure developers. CCGRID 2005: 43-50 - [c12]Erik Elmroth, Johan Tordsson:
An Interoperable, Standards-Based Grid Resource Broker and Job Submission Service. e-Science 2005: 212-220 - [c11]Erik Elmroth, Peter Gardfjäll:
Design and Evaluation of a Decentralized System for Grid-wide Fairshare Scheduling. e-Science 2005: 221-229 - [c10]Erik Elmroth, Mats Nylén, Roger Oscarsson:
A User-Centric Cluster and Grid Computing Portal. ICPP Workshops 2005: 103-110 - 2004
- [c9]Thomas Sandholm, Peter Gardfjäll, Erik Elmroth, S. Lennart Johnsson, Olle Mulmo:
An OGSA-based accounting system for allocation enforcement across HPC centers. ICSOC 2004: 279-288 - [c8]Erik Elmroth, Rikard Skelander:
Semi-automatic Generation of Grid Computing Interfaces for Numerical Software Libraries. PARA 2004: 404-412 - [c7]Erik Elmroth, Peter Gardfjäll, Olle Mulmo, Thomas Sandholm:
An OGSA-Based Bank Service for Grid Accounting Systems. PARA 2004: 1051-1060 - [c6]Erik Elmroth, Johan Tordsson:
A Grid Resource Broker Supporting Advance Reservations and Benchmark-Based Resource Selection. PARA 2004: 1061-1070 - 2000
- [c5]Erik Elmroth, Fred G. Gustavson:
High-Performance Library Software for QR Factorization. PARA 2000: 53-63 - 1999
- [c4]Erik Elmroth, Chris H. Q. Ding, Yu-Shu Wu, Karsten Pruess:
A Parallel Implementation of the TOUGH2 Software Package for Large Scale Multiphase Fluid and Heat Flow Simulations. SC 1999: 52 - 1998
- [c3]Erik Elmroth, Fred G. Gustavson:
New Serial and Parallel Recursive QR Factorization Algorithms for SMP Systems. PARA 1998: 120-128 - 1993
- [c2]Krister Dackland, Erik Elmroth, Bo Kågström:
A Ring-Oriented Approach for Block Matrix Factorizations on Shared and Distributed Memory Architectures. PPSC 1993: 330-338 - 1991
- [c1]Krister Dackland, Erik Elmroth, Bo Kågström, Charles Van Loan:
Design and Evaluation of Parallel Block Algorithms: LU Factorization on an IBM 3090 VF/600J. PP 1991: 3-10
Editorship
- 2015
- [e3]Frédéric Desprez, Adrien Lebre, Erik Elmroth:
Proceedings of the 8th International Workshop on Virtualization Technologies in Distributed Computing, VTDC@HPDC 2015, Portland, Oregon, USA, June 15, 2015. ACM 2015, ISBN 978-1-4503-3573-7 [contents] - 2007
- [e2]Bo Kågström, Erik Elmroth, Jack J. Dongarra, Jerzy Wasniewski:
Applied Parallel Computing. State of the Art in Scientific Computing, 8th International Workshop, PARA 2006, Umeå, Sweden, June 18-21, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4699, Springer 2007, ISBN 978-3-540-75754-2 [contents] - 1998
- [e1]Bo Kågström, Jack J. Dongarra, Erik Elmroth, Jerzy Wasniewski:
Applied Parallel Computing, Large Scale Scientific and Industrial Problems, 4th International Workshop, PARA '98, Umeå, Sweden, June 14-17, 1998, Proceedings. Lecture Notes in Computer Science 1541, Springer 1998, ISBN 3-540-65414-3 [contents]
Informal and Other Publications
- 2024
- [i9]Charles Meyers, Mohammad Reza Saleh Sedghpour, Tommy Löfstedt, Erik Elmroth:
A Systematic Approach to Robustness Modelling for Deep Convolutional Neural Networks. CoRR abs/2401.13751 (2024) - [i8]Charles Meyers, Mohammad Reza Saleh Sedghpour, Tommy Löfstedt, Erik Elmroth:
A Cost-Aware Approach to Adversarial Robustness in Neural Networks. CoRR abs/2409.07609 (2024) - 2022
- [i7]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 abs/2205.06057 (2022) - 2021
- [i6]Lars Larsson, William Tärneberg, Cristian Klein, Maria Kihl, Erik Elmroth:
Towards Soft Circuit Breaking in Service Meshes via Application-agnostic Caching. CoRR abs/2104.02463 (2021) - 2020
- [i5]Lars Larsson, William Tärneberg, Cristian Klein, Erik Elmroth, Maria Kihl:
Impact of etcd Deployment on Kubernetes, Istio, and Application Performance. CoRR abs/2004.00372 (2020) - [i4]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 abs/2004.04104 (2020) - 2019
- [i3]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 abs/1903.05488 (2019) - 2017
- [i2]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 abs/1708.00777 (2017) - 2012
- [i1]Erik Elmroth, Michael Factor, Ethan L. Miller, Margo I. Seltzer:
Is the Future of Preservation Cloudy? (Dagstuhl Seminar 12472). Dagstuhl Reports 2(11): 102-134 (2012)
Coauthor Index
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