138 citations · 165 across the 13 of their papers we have counts for
9 papers · 1 filter
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers
Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier +3
Deep learning has emerged as a powerful method for extracting valuable information from large volumes of data. However, when new training data arrives continuously (i.e., is not fu…
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments
Daniel Rosendo, Kate Keahey, Alexandru Costan +3
Distributed infrastructures for computation and analytics are now evolving towards an interconnected ecosystem allowing complex scientific workflows to be executed across hybrid sy…
Enabling Reproducible Analysis of Complex Workflows on the Edge-to-Cloud Continuum
Daniel Rosendo, Alexandru Costan, Gabriel Antoniu +1
Distributed digital infrastructures for computation and analytics are now evolving towards an interconnected ecosystem allowing complex applications to be executed from IoT Edge de…
Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum
Daniel Rosendo, Alexandru Costan, Gabriel Antoniu +4
In more and more application areas, we are witnessing the emergence of complex workflows that combine computing, analytics and learning. They often require a hybrid execution infra…
An Architectural Model for a Grid based Workflow Management Platform in Scientific Applications
Alexandru Costan, Florin Pop, Corina Stratan +3
With recent increasing computational and data requirements of scientific applications, the use of large clustered systems as well as distributed resources is inevitable. Although e…
Models and Techniques for Ensuring Reliability, Safety, Availability and Security of Large Scale Distributed Systems
Valentin Cristea, Ciprian Dobre, Florin Pop +3
17th International Conference on Control Systems and Computer Science (CSCS 17), Bucharest, Romania, May 26-29, 2009. Vol. 1, pp. 401-406, ISSN: 2066-4451.
Critical Analysis of Middleware Architectures for Large Scale Distributed Systems
Florin Pop, Ciprian Mihai Dobre, Alexandru Costan +4
Distributed computing is increasingly being viewed as the next phase of Large Scale Distributed Systems (LSDSs). However, the vision of large scale resource sharing is not yet a re…
Robust Failure Detection Architecture for Large Scale Distributed Systems
Ciprian Mihai Dobre, Florin Pop, Alexandru Costan +2
Failure detection is a fundamental building block for ensuring fault tolerance in large scale distributed systems. There are lots of approaches and implementations in failure detec…
Towards a Grid Platform for Scientific Workflows Management
Alexandru Costan, Corina Stratan, Eliana-Dina Tirsa +2
Workflow management systems allow the users to develop complex applications at a higher level, by orchestrating functional components without handling the implementation details. A…