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KERDATA: Stockage et traitement de données sur le continuum Edge-Cloud-HPC
Homepage:
inria.fr
Alternate name:
KERDATA: Enabling the Edge-Cloud-HPC Data Continuum
Parent institutions:
Institut de Recherche en Informatique et Systèmes Aléatoires,
Centre Inria de l'Université de Rennes
ROR:
035vnpg93
OpenAlex ID:
I4405260061
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review
2022
·
Daniel Rosendo
, Alexandru Costan
, et al.
·
Journal of Parallel and Distributed Computing
·
165
PDF
On the Root Causes of Cross-Application I/O Interference in HPC Storage Systems
2016
·
Orcun Yildiz
, Matthieu Dorier
, et al.
·
IEEE International Parallel and Distributed Processing Symposium (IPDPS)
·
96
Spark Versus Flink: Understanding Performance in Big Data Analytics Frameworks
2016
·
Ovidiu-Cristian Marcu
, Alexandru Costan
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
94
Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O
2012
·
Matthieu Dorier
, Gabriel Antoniu
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
90
Proceedings IEEE International Conference on Cluster Computing. CLUSTER 2000
2000
·
Pérez, María S.
, Antoniu, Gabriel
, et al.
·
59
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning
2020
·
Kevin Fauvel
, Daniel Balouek-Thomert
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
58
E2Clab: Exploring the Computing Continuum through Repeatable, Replicable and Reproducible Edge-to-Cloud Experiments
2020
·
Daniel Rosendo
, Pedro Silva
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
46
OverFlow: Multi-Site Aware Big Data Management for Scientific Workflows on Clouds
2015
·
Radu Tudoran
, Alexandru Costan
, et al.
·
IEEE Transactions on Cloud Computing
·
42
Enabling fast failure recovery in shared Hadoop clusters: Towards failure-aware scheduling
2016
·
Orcun Yildiz
, Shadi Ibrahim
, et al.
·
Future Generation Computer Systems
·
36
Using Formal Grammars to Predict I/O Behaviors in HPC: The Omnisc'IO Approach
2015
·
Matthieu Dorier
, Shadi Ibrahim
, et al.
·
IEEE Transactions on Parallel and Distributed Systems
·
33
JetStream
2014
·
Radu Tudoran
, Olivier Nano
, et al.
·
ACM International Conference on Distributed and Event-Based Systems (DEBS)
·
28
KerA: Scalable Data Ingestion for Stream Processing
2018
·
Ovidiu-Cristian Marcu
, Alexandru Costan
, et al.
·
IEEE International Conference on Distributed Computing Systems (ICDCS)
·
25
PDF
Lessons Learned from Building In Situ Coupling Frameworks
2015
·
Matthieu Dorier
, Matthieu Dreher
, et al.
·
Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV)
·
25
PDF
Investigating Edge vs. Cloud Computing Trade-offs for Stream Processing
2019
·
Pedro Silva
, Alexandru Costan
, et al.
·
IEEE International Conference on Big Data (BigData)
·
21
Eley: On the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems
2017
·
Orcun Yildiz
, Amelie Chi Zhou
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
20
Towards Multi-site Metadata Management for Geographically Distributed Cloud Workflows
2015
·
Luis Pineda-Morales
, Alexandru Costan
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
20
Adaptive Performance-Constrained In Situ Visualization of Atmospheric Simulations
2016
·
Matthieu Dorier
, Robert Sisneros
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
19
Scalable data management for map-reduce-based data-intensive applications: a view for cloud and hybrid infrastructures
2013
·
Gabriel Antoniu
, Alexandru Costan
, et al.
·
International Journal of Cloud Computing
·
16
FedGuard: Selective Parameter Aggregation for Poisoning Attack Mitigation in Federated Learning
2023
·
Melvin Chelli
, Cédric Prigent
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
15
PDF
Managing hot metadata for scientific workflows on multisite clouds
2016
·
Luis Pineda-Morales
, Ji Liu
, et al.
·
IEEE International Conference on Big Data (BigData)
·
13
Architecture of Distributed Data Aggregation Service
2014
·
Vlad Serbanescu
, Florin Pop
, et al.
·
International Conference on Advanced Information Networking and Applications (AINA)
·
13
Machine learning patterns for neuroimaging-genetic studies in the cloud
2014
·
Benoit Da Mota
, Radu Tudoran
, et al.
·
Frontiers in Neuroinformatics
·
12
PDF
Enabling Agile Analysis of I/O Performance Data with PyDarshan
2023
·
Jakob Luettgau
, Shane Snyder
, et al.
·
International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
·
11
PDF
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments
2023
·
Daniel Rosendo
, Kate Keahey
, et al.
·
ACM Conference on Reproducibility and Replicability (ACM REP)
·
11
PDF
Keeping up with storage: Decentralized, write-enabled dynamic geo-replication
2017
·
Pierre Matri
, María S. Pérez
, et al.
·
Future Generation Computer Systems
·
11
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Works count:
83
Citation count:
2,882
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