Radu Tudoran

According to our database1, Radu Tudoran authored at least 34 papers between 2008 and 2019.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

An Online Incremental Clustering Framework for Real-Time Stream Analytics.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

KerA: Scalable Data Ingestion for Stream Processing.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems.
Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2018

2017
Exploring Shared State in Key-Value Store for Window-Based Multi-Pattern Streaming Analytics.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

Towards a unified storage and ingestion architecture for stream processing.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
OverFlow: Multi-Site Aware Big Data Management for Scientific Workflows on Clouds.
IEEE Trans. Cloud Comput., 2016

JetStream: Enabling high throughput live event streaming on multi-site clouds.
Future Gener. Comput. Syst., 2016

TomusBlobs: scalable data-intensive processing on Azure clouds.
Concurr. Comput. Pract. Exp., 2016

Data Multiverse: The Uncertainty Challenge of Future Big Data Analytics.
Proceedings of the Semantic Keyword-Based Search on Structured Data Sources, 2016

2014
Gestion du Big Data hautes performances dans les centres de données cloud. (High-Performance Big Data Management Across Cloud Data Centers).
PhD thesis, 2014

Generic Machine Learning Pattern for Neuroimaging-Genetic Studies in the Cloud.
Frontiers Neuroinformatics, 2014

Transfer as a Service: Towards a Cost-Effective Model for Multi-site Cloud Data Management.
Proceedings of the 33rd IEEE International Symposium on Reliable Distributed Systems, 2014

Achieving high throughput for large scale event streaming across geographically distributed data-centers with JetStream.
Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems, 2014

JetStream: enabling high performance event streaming across cloud data-centers.
Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems, 2014

Evaluating Streaming Strategies for Event Processing Across Infrastructure Clouds.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

Bridging Data in the Clouds: An Environment-Aware System for Geographically Distributed Data Transfers.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

Big Data Storage and Processing on Azure Clouds: Experiments at Scale and Lessons Learned.
Proceedings of the Cloud Computing for Data-Intensive Applications, 2014

2013
DataSteward: Using Dedicated Compute Nodes for Scalable Data Management on Public Clouds.
Proceedings of the 12th IEEE International Conference on Trust, 2013

SAGE: Geo-Distributed Streaming Data Analysis in Clouds.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Adaptive file management for scientific workflows on the Azure cloud.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain.
ERCIM News, 2012

A performance evaluation of Azure and Nimbus clouds for scientific applications.
Proceedings of the 2nd International Workshop on Cloud Computing Platforms, 2012

TomusBlobs: Towards Communication-Efficient Storage for MapReduce Applications in Azure.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2010
Multipliers for floating-point double precision and beyond on FPGAs.
SIGARCH Comput. Archit. News, 2010

2009
Implementing True Random Number Generators in FPGAs by Chip Filling.
Proceedings of the SECRYPT 2009, 2009

Exploiting Crosstalk Effects in FPGAs for Generating True Random Numbers.
Proceedings of the e-Business and Telecommunications - 6th International Joint Conference, 2009

2008
Software Random Number Generation Based on Race Conditions.
Proceedings of the SYNASC 2008, 2008

An FPGA-specific approach to floating-point accumulation and sum-of-products.
Proceedings of the 2008 International Conference on Field-Programmable Technology, 2008

When FPGAs are better at floating-point than microprocessors.
Proceedings of the ACM/SIGDA 16th International Symposium on Field Programmable Gate Arrays, 2008

FPGA-Based Computation of the Inductance of Coils Used for the Magnetic Stimulation of the Nervous System.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008


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