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ORCIDErik Elmroth
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- affiliation: Umeå University
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2020 – today
- 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)- [c143]Chanh Nguyen, Cristian Klein, Erik Elmroth:
State-Aware Application Placement in Mobile Edge Clouds. CLOSER 2024: 117-128 - [i8]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) - 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) - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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 - [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) - 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) - [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
- [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) - [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 - [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) - 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) - [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
- [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) - [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 - [e3]