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20092024
most citedDistributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review

138 citations · 288 across the 18 of their papers we have counts for

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7 papers · 1 filter

cs.DB2023

ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum

Daniel Rosendo, Marta Mattoso, Alexandru Costan +4

Modern scientific workflows require hybrid infrastructures combining numerous decentralized resources on the IoT/Edge interconnected to Cloud/HPC systems (aka the Computing Continu…

cs.DB2020★ 44 cited

Workflow Provenance in the Lifecycle of Scientific Machine Learning

Renan Souza, Leonardo G. Azevedo, Vítor Lourenço +10

Machine Learning (ML) has already fundamentally changed several businesses. More recently, it has also been profoundly impacting the computational science and engineering domains,…

cs.DB2019★ 13 cited

Keeping Track of User Steering Actions in Dynamic Workflows

Renan Souza, Vítor Silva, José Camata +3

In long-lasting scientific workflow executions in HPC machines, computational scientists (the users in this work) often need to fine-tune several workflow parameters. These tunings…

cs.DB2017

Constellation Queries over Big Data

Fabio Porto, Amir Khatibi, João R. Nobre +3

A geometrical pattern is a set of points with all pairwise distances (or, more generally, relative distances) specified. Finding matches to such patterns has applications to spatia…

cs.DB2013

On Demand Memory Specialization for Distributed Graph Databases

Xavier Martinez-Palau, David Dominguez-Sal, Reza Akbarinia +2

In this paper, we propose the DN-tree that is a data structure to build lossy summaries of the frequent data access patterns of the queries in a distributed graph data management s…

cs.DB2011★ 2 cited

Principles of Distributed Data Management in 2020?

Patrick Valduriez

With the advents of high-speed networks, fast commodity hardware, and the web, distributed data sources have become ubiquitous. The third edition of the Özsu-Valduriez textbook Pri…

cs.DB2009★ 69 cited

Reducing Network Traffic in Unstructured P2P Systems Using Top-k Queries

Reza Akbarinia, Esther Pacitti, Patrick Valduriez

A major problem of unstructured P2P systems is their heavy network traffic. This is caused mainly by high numbers of query answers, many of which are irrelevant for users. One solu…