Gabriel Antoniu

Orcid: 0000-0001-6525-3736

Affiliations:
  • IRISA Rennes, France


According to our database1, Gabriel Antoniu authored at least 145 papers between 1999 and 2023.

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Bibliography

2023
Supporting dynamic allocation of heterogeneous storage resources on HPC systems.
Concurr. Comput. Pract. Exp., 2023

ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

FedGuard: Selective Parameter Aggregation for Poisoning Attack Mitigation in Federated Learning.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments.
Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, 2023

2022
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review.
J. Parallel Distributed Comput., 2022

A Methodology to Build Decision Analysis Tools Applied to Distributed Reinforcement Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

StorAlloc: A Simulator for Job Scheduling on Heterogeneous Storage Resources.
Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

2021
Enabling Reproducible Analysis of Complex Workflows on the Edge-to-Cloud Continuum.
CoRR, 2021

MDSC: modelling distributed stream processing across the edge-to-cloud continuum.
Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021

Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

Virtual Log-Structured Storage for High-Performance Streaming.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020
How fast can one resize a distributed file system?
J. Parallel Distributed Comput., 2020

Mission possible: Unify HPC and Big Data stacks towards application-defined blobs at the storage layer.
Future Gener. Comput. Syst., 2020

E2Clab: Exploring the Computing Continuum through Repeatable, Replicable and Reproducible Edge-to-Cloud Experiments.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

Pufferscale: Rescaling HPC Data Services for High Energy Physics Applications.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Efficient Scheduling of Scientific Workflows Using Hot Metadata in a Multisite Cloud.
IEEE Trans. Knowl. Data Eng., 2019

Towards a Methodology for Benchmarking Edge Processing Frameworks.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Is it Worth Relaxing Fault Tolerance to Speed Up Decommission in Distributed Storage Systems?
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Investigating Edge vs. Cloud Computing Trade-offs for Stream Processing.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
RM-BDP: Resource management for Big Data platforms.
Future Gener. Comput. Syst., 2018

Keeping up with storage: Decentralized, write-enabled dynamic geo-replication.
Future Gener. Comput. Syst., 2018

New directions in mobile, hybrid, and heterogeneous clouds for cyberinfrastructures.
Future Gener. Comput. Syst., 2018

Tailwind: Fast and Atomic RDMA-based Replication.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Pufferbench: Evaluating and Optimizing Malleability of Distributed Storage.
Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018

SLoG: Large-Scale Logging Middleware for HPC and Big Data Convergence.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

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

TýrFS: Increasing Small Files Access Performance with Dynamic Metadata Replication.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017
Failure detector abstractions for MapReduce-based systems.
Inf. Sci., 2017

Enabling fast failure recovery in shared Hadoop clusters: Towards failure-aware scheduling.
Future Gener. Comput. Syst., 2017

Characterizing Performance and Energy-Efficiency of the RAMCloud Storage System.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Energy-Driven Straggler Mitigation in MapReduce.
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

An Empirical Evaluation of How The Network Impacts The Performance and Energy Efficiency in RAMCloud.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 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

How fast can one scale down a distributed file system?
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Fault Tolerance in MapReduce: A Survey.
Proceedings of the Resource Management for Big Data Platforms, 2016

Using Formal Grammars to Predict I/O Behaviors in HPC: The Omnisc'IO Approach.
IEEE Trans. Parallel Distributed Syst., 2016

Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations.
ACM Trans. Parallel Comput., 2016

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

Feedback-Based Resource Allocation in MapReduce-Based Systems.
Sci. Program., 2016

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

Governing energy consumption in Hadoop through CPU frequency scaling: An analysis.
Future Gener. Comput. Syst., 2016

On the energy footprint of I/O management in Exascale HPC systems.
Future Gener. Comput. Syst., 2016

Cloud computing for data-driven science and engineering.
Concurr. Comput. Pract. Exp., 2016

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

Týr: blob storage meets built-in transactions.
Proceedings of the International Conference for High Performance Computing, 2016

On the Root Causes of Cross-Application I/O Interference in HPC Storage Systems.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Towards Efficient Location and Placement of Dynamic Replicas for Geo-Distributed Data Stores.
Proceedings of the ACM 7th Workshop on Scientific Cloud Computing, 2016

Spark Versus Flink: Understanding Performance in Big Data Analytics Frameworks.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

Adaptive Performance-Constrained In Situ Visualization of Atmospheric Simulations.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

Managing hot metadata for scientific workflows on multisite clouds.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
A formal method for rule analysis and validation in distributed data aggregation service.
World Wide Web, 2015

Lessons Learned from Building In Situ Coupling Frameworks.
Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015

Exploring Energy-Consistency Trade-Offs in Cassandra Cloud Storage System.
Proceedings of the 27th International Symposium on Computer Architecture and High Performance Computing, 2015

An Eye on the Elephant in the Wild: A Performance Evaluation of Hadoop's Schedulers Under Failures.
Proceedings of the Adaptive Resource Management and Scheduling for Cloud Computing, 2015

Diarchy: An Optimized Management Approach for MapReduce Masters.
Proceedings of the International Conference on Computational Science, 2015

On Understanding the Energy Impact of Speculative Execution in Hadoop.
Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015

Towards Multi-site Metadata Management for Geographically Distributed Cloud Workflows.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

Chronos: Failure-aware scheduling in shared Hadoop clusters.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

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

To overlap or not to overlap: optimizing incremental MapReduce computations for on-demand data upload.
Proceedings of the 5th International Workshop on Data-Intensive Computing in the Clouds, 2014

Omnisc'IO: A Grammar-Based Approach to Spatial and Temporal I/O Patterns Prediction.
Proceedings of the International Conference for High Performance Computing, 2014

Towards Efficient Power Management in MapReduce: Investigation of CPU-Frequencies Scaling on Power Efficiency in Hadoop.
Proceedings of the Adaptive Resource Management and Scheduling for Cloud Computing, 2014

CALCioM: Mitigating I/O Interference in HPC Systems through Cross-Application Coordination.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

A performance and energy analysis of I/O management approaches for exascale systems.
Proceedings of the DIDC'14, 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

Architecture of Distributed Data Aggregation Service.
Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications, 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

Consistency Management in Cloud Storage Systems.
Proceedings of the Large Scale and Big Data - Processing and Management., 2014

2013
Handling partitioning skew in MapReduce using LEEN.
Peer-to-Peer Netw. Appl., 2013

Scalable data management for map-reduce-based data-intensive applications: a view for cloud and hybrid infrastructures.
Int. J. Cloud Comput., 2013

GMonE: A complete approach to cloud monitoring.
Future Gener. Comput. Syst., 2013

Flubber: Two-level disk scheduling in virtualized environment.
Future Gener. Comput. Syst., 2013

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

Damaris/Viz: A nonintrusive, adaptable and user-friendly in situ visualization framework.
Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013

Distributed Data Storage in Support for Context-Aware Applications.
Proceedings of the IEEE 12th International Symposium on Parallel and Distributed Computing, 2013

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

Consistency in the Cloud: When Money Does Matter!
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 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
Towards scalable array-oriented active storage: the pyramid approach.
ACM SIGOPS Oper. Syst. Rev., 2012

Towards a Generic Security Framework for Cloud Data Management Environments.
Int. J. Distributed Syst. Technol., 2012

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

Enhanced failure detection mechanism in MapReduce.
Proceedings of the 2012 International Conference on High Performance Computing & Simulation, 2012

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

On-the-Fly Task Execution for Speeding Up Pipelined MapReduce.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

Evaluating Cloud Storage Services for Tightly-Coupled Applications.
Proceedings of the Euro-Par 2012: Parallel Processing Workshops, 2012

Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

Harmony: Towards Automated Self-Adaptive Consistency in Cloud Storage.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

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

Maestro: Replica-Aware Map Scheduling for MapReduce.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2011
BlobSeer: Next-generation data management for large scale infrastructures.
J. Parallel Distributed Comput., 2011

Bringing introspection into BlobSeer: Towards a self-adaptive distributed data management system.
Int. J. Appl. Math. Comput. Sci., 2011

Going back and forth: efficient multideployment and multisnapshotting on clouds.
Proceedings of the 20th ACM International Symposium on High Performance Distributed Computing, 2011

Optimizing intermediate data management in MapReduce computations.
Proceedings of the First International Workshop on Cloud Computing Platforms, 2011

Introduction.
Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

Optimizing Multi-deployment on Clouds by Means of Self-adaptive Prefetching.
Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

Efficient Support for MPI-I/O Atomicity Based on Versioning.
Proceedings of the 11th IEEE/ACM International Symposium on Cluster, 2011

Managing Data Access on Clouds: A Generic Framework for Enforcing Security Policies.
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications, 2011

2010
BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

BlobSeer: Efficient data management for data-intensive applications distributed at large-scale.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Large-scale distributed storage for highly concurrent Mapreduce applications.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Improving the Hadoop map/reduce framework to support concurrent appends through the BlobSeer BLOB management system.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services.
Proceedings of the Cloud Computing, Second International Conference, 2010

Bringing Introspection Into the BlobSeer Data-Management System Using the MonALISA Distributed Monitoring Framework.
Proceedings of the CISIS 2010, 2010

Autonomic Cloud Storage: Challenges at Stake.
Proceedings of the CISIS 2010, 2010

2009
Towards a Grid File System Based on a Large-Scale BLOB Management Service.
Proceedings of the Grids, 2009

Enabling High Data Throughput in Desktop Grids through Decentralized Data and Metadata Management: The BlobSeer Approach.
Proceedings of the Euro-Par 2009 Parallel Processing, 2009

BlobSeer: how to enable efficient versioning for large object storage under heavy access concurrency.
Proceedings of the 2009 EDBT/ICDT Workshops, Saint-Petersburg, Russia, March 22, 2009, 2009

Contribution à la conception de services de partage de données pour les grilles de calcul. (Contribution to the Design of Grid Data-Sharing Services).
, 2009

2008
Distributed Management of Massive Data: An Efficient Fine-Grain Data Access Scheme.
Proceedings of the High Performance Computing for Computational Science, 2008

A practical example of convergence of P2P and grid computing: An evaluation of JXTA's communication performance on grid networking infrastructures.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Building Hierarchical Grid Storage Using the GfarmGlobal File System and the JuxMemGrid Data-Sharing Service.
Proceedings of the Euro-Par 2008, 2008

Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection.
Proceedings of the 2008 IEEE International Conference on Cluster Computing, 29 September, 2008

2007
MOve: Design and Evaluation of a Malleable Overlay for Group-Based Applications.
IEEE Trans. Netw. Serv. Manag., 2007

Combining data sharing with the master-worker paradigm in the common component architecture.
Clust. Comput., 2007

Performance scalability of the JXTA P2P framework.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Towards a Transparent Data Access Model for the GridRPCParadigm.
Proceedings of the High Performance Computing, 2007

2006
How to bring together fault tolerance and data consistency to enable Grid data sharing.
Concurr. Comput. Pract. Exp., 2006

A Practical Evaluation of a Data Consistency Protocol for Efficient Visualization in Grid Applications.
Proceedings of the High Performance Computing for Computational Science, 2006

MOve: Design of An Application-Malleable Overlay.
Proceedings of the 25th IEEE Symposium on Reliable Distributed Systems (SRDS 2006), 2006

Fault-Tolerant Data Sharing for High-level Grid: A Hierarchical Storage Architecture.
Proceedings of the Achievements in European Research on Grid Systems: CoreGRID Integration Workshop 2006, 2006

Enabling Transparent Data Sharing in Component Models.
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

Extending the Entry Consistency Model to Enable Efficient Visualization for Code-Coupling Grid Applications.
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

2005
JuxMem: An Adaptive Supportive Platform for Data Sharing on the Grid.
Scalable Comput. Pract. Exp., 2005

Cluster computing with Java.
Comput. Sci. Eng., 2005

Enabling the P2P JXTA Platform for High-Performance Networking Grid Infrastructures.
Proceedings of the High Performance Computing and Communications, 2005

Performance evaluation of JXTA communication layers.
Proceedings of the 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005), 2005

2004
Large-Scale Deployment in P2P Experiments Using the JXTA Distributed Framework.
Proceedings of the Euro-Par 2004 Parallel Processing, 2004

GDS: An Architecture Proposal for a Grid Data-Sharing Service.
Proceedings of the Future Generation Grids: Proceedings of the Workshop on Future Generation Grids, 2004

2003
Making a DSM Consistency Protocol Hierarchy-Aware: an Efficient Synchronization Scheme.
Proceedings of the 3rd IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2003), 2003

2001
DSM-PM2 : une plate-forme portable pour l'implémentation de protocoles de cohérence multithreads pour systèmes à mémoire virtuellement partagée. (DSM-PM2: a portable platform for implementing multithreaded consistency protocols pour distributed shared memory systems).
PhD thesis, 2001

The Hyperion system: Compiling multithreaded Java bytecode for distributed execution.
Parallel Comput., 2001

Implementing Multithreaded Protocols for Release Consistency on Top of the Generic DSM-PM Platform.
Proceedings of the Advanced Environments, 2001

Remote Object Detection in Cluster-Based Java.
Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

DSM-PM2: A Portable Implementation Platform for Multithreaded DSM Consistency Protocols.
Proceedings of the High-Level Parallel Programming Models and Supportive Environments, 2001

2000
Compiling Data-Parallel Programs to a Distributed Runtime Environment with Thread Isomigration.
Parallel Process. Lett., 2000

Implementing Java Consistency Using a Generic, Multithreaded DSM Runtime System.
Proceedings of the Parallel and Distributed Processing, 2000

Compiling Multithreaded Java Bytecode for Distributed Execution (Distinguished Paper).
Proceedings of the Euro-Par 2000, Parallel Processing, 6th International Euro-Par Conference, Munich, Germany, August 29, 2000

1999
An Efficient and Transparent Thread Migration Scheme in the PM2 Runtime System.
Proceedings of the Parallel and Distributed Processing, 1999

Using Preemptive Thread Migration to Load-Balance Data-Parallel Applications.
Proceedings of the Euro-Par '99 Parallel Processing, 5th International Euro-Par Conference, Toulouse, France, August 31, 1999


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