Alexandru Costan

Orcid: 0000-0003-3111-6308

Affiliations:
  • INRIA, France


According to our database1, Alexandru Costan authored at least 81 papers between 2005 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Efficient distributed continual learning for steering experiments in real-time.
Future Gener. Comput. Syst., 2025

2024
Enabling federated learning across the computing continuum: Systems, challenges and future directions.
Future Gener. Comput. Syst., 2024

Towards Efficient Learning on the Computing Continuum: Advancing Dynamic Adaptation of Federated Learning.
Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2024

Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

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

FlexScience'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 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
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

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

A Survey of Benchmarks to Evaluate Data Analytics for Smart-* Applications.
CoRR, 2019

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

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

From Big Data to Fast Data: Efficient Stream Data Management. (Du Big Data au Fast Data: Gestion efficace des données de flux).
, 2019

2018
Keeping up with storage: Decentralized, write-enabled dynamic geo-replication.
Future Gener. Comput. Syst., 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
AutoCompBD: Autonomic Computing and Big Data platforms.
Soft Comput., 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

A performance evaluation of Apache Kafka in support of big data streaming applications.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 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

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

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

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

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

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

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

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

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

1st Workshop on Big Data Management in Clouds - BDMC2012.
Proceedings of the Euro-Par 2012: Parallel Processing Workshops, 2012

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

2011
Middleware and architectures for space-based and situated computing.
Int. J. Space Based Situated Comput., 2011

A visualisation technique for network topology transformation within MonALISA monitoring framework.
Int. J. Grid Util. Comput., 2011

A dependability layer for large-scale distributed systems.
Int. J. Grid Util. Comput., 2011

An Architectural Model for a Grid based Workflow Management Platform in Scientific Applications
CoRR, 2011

Models and Techniques for Ensuring Reliability, Safety, Availability and Security of Large Scale Distributed Systems
CoRR, 2011

Bringing introspection into BlobSeer: Towards a self-adaptive distributed data management system.
Int. J. Appl. Math. Comput. Sci., 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
Dynamic meta-scheduling architecture based on monitoring in distributed systems.
Int. J. Auton. Comput., 2010

A Worklow Management Platform for Scientific Applications in Grid Environments.
Proceedings of the 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2010

Prediction of Distributed Systems State Based on Monitoring Data.
Proceedings of the Ninth International Symposium on Parallel and Distributed Computing, 2010

Fault Tolerance and Recovery in Grid Workflow Management Systems.
Proceedings of the CISIS 2010, 2010

Automatic Generation of Functional Workflows Using a Semantic Specification.
Proceedings of the CISIS 2010, 2010

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

Simulation Model and Instrument to Evaluate Replication Techniques.
Proceedings of the 3PGCIC 2010, 2010

Prediction Strategies for Self-Adaptive Behavior in Distributed Systems.
Proceedings of the 3PGCIC 2010, 2010

A Solution for Fault-Tolerance Based on Adaptive Replication in MonALISA.
Proceedings of the 3PGCIC 2010, 2010

2009
Monitoring and Control of Large Systems with MonALISA.
ACM Queue, 2009

MonALISA: An agent based, dynamic service system to monitor, control and optimize distributed systems.
Comput. Phys. Commun., 2009

Critical Analysis of Middleware Architectures for Large Scale Distributed Systems
CoRR, 2009

Robust Failure Detection Architecture for Large Scale Distributed Systems
CoRR, 2009

Towards a Grid Platform for Scientific Workflows Management
CoRR, 2009

Offline Algorithms for Several Network Design, Clustering and QoS Optimization Problems
CoRR, 2009

Monitoring of Complex Applications Execution in Distributed Dependable Systems.
Proceedings of the Eighth International Symposium on Parallel and Distributed Computing, 2009

2008
A Monitoring Architecture for High-Speed Networks in Large Scale Distributed Collaborations.
Proceedings of the 7th International Symposium on Parallel and Distributed Computing (ISPDC 2008), 2008

2007
Monitoring, accounting and automated decision support for the alice experiment based on the MonALISA framework.
Proceedings of the 2007 workshop on Grid monitoring, 2007

2005
A Policy Iteration Algorithm for Computing Fixed Points in Static Analysis of Programs.
Proceedings of the Computer Aided Verification, 17th International Conference, 2005


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