Robert Birke

Orcid: 0000-0003-1144-3707

According to our database1, Robert Birke authored at least 126 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Guest Editorial: Special Section on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part II.
IEEE Trans. Netw. Serv. Manag., June, 2023

TabuLa: Harnessing Language Models for Tabular Data Synthesis.
CoRR, 2023

BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise.
CoRR, 2023

A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms.
CoRR, 2023

Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning.
CoRR, 2023

Robust Learning via Golden Symmetric Loss of (un)Trusted Labels.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

Exploring and Exploiting Data-Free Model Stealing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Model-Agnostic Federated Learning.
Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

A Proposal for a Continuum-aware Programming Model: From Workflows to Services Autonomously Interacting in the Compute Continuum.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning.
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

GDTS: GAN-Based Distributed Tabular Synthesizer.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022
Guest Editorial: Special Issue on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part I.
IEEE Trans. Netw. Serv. Manag., December, 2022

Memory-aware and context-aware multi-DNN inference on the edge.
Pervasive Mob. Comput., 2022

FCT-GAN: Enhancing Table Synthesis via Fourier Transform.
CoRR, 2022

CTAB-GAN+: Enhancing Tabular Data Synthesis.
CoRR, 2022

Performance Modeling for Short-Term Cache Allocation.
Proceedings of the 51st International Conference on Parallel Processing, 2022

LABNET: A Collaborative Method for DNN Training and Label Aggregation.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Permutation-Invariant Tabular Data Synthesis.
Proceedings of the IEEE International Conference on Big Data, 2022

Trusted Loss Correction for Noisy Multi-Label Learning.
Proceedings of the Asian Conference on Machine Learning, 2022

Multi Label Loss Correction against Missing and Corrupted Labels.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
sPARE: Partial Replication for Multi-Tier Applications in the Cloud.
IEEE Trans. Serv. Comput., 2021

Guest Editorial: Special Section on Embracing Artificial Intelligence for Network and Service Management.
IEEE Trans. Netw. Serv. Manag., 2021

Enhancing Robustness of On-Line Learning Models on Highly Noisy Data.
IEEE Trans. Dependable Secur. Comput., 2021

Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data.
CoRR, 2021

Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators.
CoRR, 2021

DTGAN: Differential Private Training for Tabular GANs.
CoRR, 2021

CTAB-GAN: Effective Table Data Synthesizing.
CoRR, 2021

Online Label Aggregation: A Variational Bayesian Approach.
Proceedings of the WWW '21: The Web Conference 2021, 2021

MemA: Fast Inference of Multiple Deep Models.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Masa: Responsive Multi-DNN Inference on the Edge.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications, 2021

Artifact: Masa: Responsive Multi-DNN Inference on the Edge.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

LABELNET: Recovering Noisy Labels.
Proceedings of the International Joint Conference on Neural Networks, 2021

Evaluation of Networking Options for Containerized Deployment of Real-Time Applications.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise.
Proceedings of the BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6, 2021

QActor: Active Learning on Noisy Labels.
Proceedings of the Asian Conference on Machine Learning, 2021

CTAB-GAN: Effective Table Data Synthesizing.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Making Neighbors Quiet: An Approach to Detect Virtual Resource Contention.
IEEE Trans. Serv. Comput., 2020

TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise.
CoRR, 2020

ExpertNet: Adversarial Learning and Recovery Against Noisy Labels.
CoRR, 2020

QActor: On-line Active Learning for Noisy Labeled Stream Data.
CoRR, 2020

PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters.
Proceedings of the Middleware '20: 21st International Middleware Conference, 2020

Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019
RAD: On-line Anomaly Detection for Highly Unreliable Data.
CoRR, 2019

WiSE-VAE: Wide Sample Estimator VAE.
CoRR, 2019

Robust (Deep) Learning Framework Against Dirty Labels and Beyond.
Proceedings of the First IEEE International Conference on Trust, 2019

Differential Approximation and Sprinting for Multi-Priority Big Data Engines.
Proceedings of the 20th International Middleware Conference, 2019

Exploring Deep Reinforcement Learning for Autonomous Powerline Tracking.
Proceedings of the IEEE INFOCOM 2019, 2019

WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Chisel: Reshaping Queries to Trim Latency in Key-Value Stores.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Robust Anomaly Detection on Unreliable Data.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

Learning Semantically Meaningful Embeddings Using Linear Constraints.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Spatial-Temporal Prediction Models for Active Ticket Managing in Data Centers.
IEEE Trans. Netw. Serv. Manag., 2018

Optimizing for Tail Sojourn Times of Cloud Clusters.
IEEE Trans. Cloud Comput., 2018

Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability.
ACM Trans. Auton. Adapt. Syst., 2018

SmallTail: Scaling Cores and Probabilistic Cloning Requests for Web Systems.
Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Competition: Energy-Efficient Many-to-Many Communication with Channel-Hopping.
Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks, 2018

Model-driven computational sprinting.
Proceedings of the Thirteenth EuroSys Conference, 2018

2017
Cutting Latency Tail: Analyzing and Validating Replication without Canceling.
IEEE Trans. Parallel Distributed Syst., 2017

Bringing 5G into Rural and Low-Income Areas: Is It Feasible?
IEEE Commun. Stand. Mag., 2017

PULP: Achieving Privacy and Utility Trade-Off in User Mobility Data.
Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017

On the latency-accuracy tradeoff in approximate MapReduce jobs.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Power of redundancy: Designing partial replication for multi-tier applications.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Dual Scaling VMs and Queries: Cost-Effective Latency Curtailment.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

AccStream: Accuracy-Aware Overload Management for Stream Processing Systems.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

Meeting Latency Target in Transient Burst: A Case on Spark Streaming.
Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017

Early work on modeling computational sprinting.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

State of Practice of Non-self-aware Virtual Machine Management in Cloud Data Centers.
Proceedings of the Self-Aware Computing Systems., 2017

Self-aware Computing Systems: Open Challenges and Future Research Directions.
Proceedings of the Self-Aware Computing Systems., 2017

2016
On Fair Attribution of Costs Under Peak-Based Pricing to Cloud Tenants.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016

Virtualization in the Private Cloud: State of the Practice.
IEEE Trans. Netw. Serv. Manag., 2016

PROST: Predicting Resource Usages with Spatial and Temporal Dependencies.
Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, 2016

Tale of Tails: Anomaly Avoidance in Data Centers.
Proceedings of the 35th IEEE Symposium on Reliable Distributed Systems, 2016

Resource management of replicated service systems provisioned in the cloud.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Robust Server Consolidation: Coping with Peak Demand Underestimation.
Proceedings of the 24th IEEE International Symposium on Modeling, 2016

5G in rural and low-income areas: Are we ready?
Proceedings of the 2016 ITU Kaleidoscope: ICTs for a Sustainable World, 2016

Defeating variability in cloud applications by multi-tier workload redundancy.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Dslash: Managing Data in Overloaded Batch Streaming Systems.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Sprint Ability: How Well Does Your Software Exploit Bursts in Processing Capacity?
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

Dynamic Block Sizing for Data Stream Processing Systems.
Proceedings of the 2016 IEEE International Conference on Cloud Engineering Workshop, 2016

Managing Data Center Tickets: Prediction and Active Sizing.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

Profiling Memory Vulnerability of Big-Data Applications.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2016

Integrated Energy Efficient Data Centre Management for Green Cloud Computing - The FP7 GENiC Project Experience.
Proceedings of the CLOSER 2016, 2016

2015
Usage Patterns in Multi-tenant Data Centers: a Large-Case Field Study.
Proceedings of the Handbook on Data Centers, 2015

Neighborhood Filtering Strategies for Overlay Construction in P2P-TV Systems: Design and Experimental Comparison.
IEEE/ACM Trans. Netw., 2015

On Energyaware Allocation and Execution for Batch and Interactive MapReduce.
SIGMETRICS Perform. Evaluation Rev., 2015

Demystifying Casualties of Evictions in Big Data Priority Scheduling.
SIGMETRICS Perform. Evaluation Rev., 2015

A simulation framework for priority scheduling on heterogeneous clusters.
Future Gener. Comput. Syst., 2015

PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload.
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

When Virtual Meets Physical at the Edge: A Field Study on Datacenters' Virtual Traffic.
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Contention detection by throttling: A black-box on-line approach.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Optimizing capacity allocation for big data applications in cloud datacenters.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Optimizing Energy, Locality and Priority in a MapReduce Cluster.
Proceedings of the 2015 IEEE International Conference on Autonomic Computing, 2015

Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design.
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015

PRACTISE: Robust prediction of data center time series.
Proceedings of the 11th International Conference on Network and Service Management, 2015

2014
Datacenter Applications in Virtualized Networks: A Cross-Layer Performance Study.
IEEE J. Sel. Areas Commun., 2014

Scalable High Resolution Traffic Heatmaps: Coherent Queue Visualization for Datacenters.
Proceedings of the Traffic Monitoring and Analysis - 6th International Workshop, 2014

Multi-resource characterization and their (in)dependencies in production datacenters.
Proceedings of the 2014 IEEE Network Operations and Management Symposium, 2014

(Big)data in a virtualized world: volume, velocity, and variety in cloud datacenters.
Proceedings of the 12th USENIX conference on File and Storage Technologies, 2014

Failure Analysis of Virtual and Physical Machines: Patterns, Causes and Characteristics.
Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

zFabric: How to virtualize lossless ethernet?
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013
Got loss?: get zOVN!
Proceedings of the ACM SIGCOMM 2013 Conference, 2013

Characterization Analysis of Resource Utilization Distribution.
Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013

A datacenter network tale from a server's perspective.
Proceedings of the 21st IEEE/ACM International Symposium on Quality of Service, 2013

An intent-based approach for network virtualization.
Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013

How elastic is your virtualized datacenter fabric?
Proceedings of the 2013 Interconnection Network Architecture: On-Chip, Multi-Chip, 2013

State-of-the-practice in data center virtualization: Toward a better understanding of VM usage.
Proceedings of the 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2013

2012
A delay-based aggregate rate control for P2P streaming systems.
Comput. Commun., 2012

Towards massively parallel simulations of massively parallel high-performance computing systems.
Proceedings of the International ICST Conference on Simulation Tools and Techniques, 2012

Experimental comparison of neighborhood filtering strategies in unstructured P2P-TV systems.
Proceedings of the 12th IEEE International Conference on Peer-to-Peer Computing, 2012

Usage patterns in multi-tenant data centers: a temporal perspective.
Proceedings of the 9th International Conference on Autonomic Computing, 2012

Partition/aggregate in commodity 10G ethernet software-defined networking.
Proceedings of the 13th IEEE International Conference on High Performance Switching and Routing, 2012

Data Centers in the Cloud: A Large Scale Performance Study.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011
Architecture of a network-aware P2P-TV application: the NAPA-WINE approach.
IEEE Commun. Mag., 2011

Hose rate control for P2P-TV streaming systems.
Proceedings of the 2011 IEEE International Conference on Peer-to-Peer Computing, 2011

SNMP Management in a Distributed Software Router Architecture.
Proceedings of IEEE International Conference on Communications, 2011

Short and Fat: TCP Performance in CEE Datacenter Networks.
Proceedings of the IEEE 19th Annual Symposium on High Performance Interconnects, 2011

2010
Experiences of VoIP traffic monitoring in a commercial ISP.
Int. J. Netw. Manag., 2010

Network Friendly P2P-TV: The Napa-Wine Approach.
Proceedings of the IEEE Tenth International Conference on Peer-to-Peer Computing, 2010

OpenFlow Switching: Data Plane Performance.
Proceedings of IEEE International Conference on Communications, 2010

Multistage Software Routers in a Virtual Environment.
Proceedings of the Global Communications Conference, 2010

2009
HERO: High-speed enhanced routing operation in Ethernet NICs for software routers.
Comput. Networks, 2009

Delay-Based Cloud Congestion Control.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2007
Understanding VoIP from Backbone Measurements.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007


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