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Aurelien Bourdon

dblp:118/7854 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Program analysis · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis › dynamic analysis
runtime monitoring
0.112012
Runtime monitoring of software energy hotspots · ASE 2012
Energy-efficient computing
software energy consumption
0.112012
Runtime monitoring of software energy hotspots · ASE 2012

Methods — techniques the papers use, named apart from their topics

runtime monitoring · 0.3
YearPublicationVenuePosition
2012 Runtime monitoring of software energy hotspots
abstract
GreenIT has emerged as a discipline concerned with the optimization of software solutions with regards to their energy consumption. In this domain, most of the state-of-the-art solutions concentrate on coarse-grained approaches to monitor the energy consumption of a device or a process. However, none of the existing solutions addresses in-process energy monitoring to provide in-depth analysis of a process energy consumption. In this paper, we therefore report on a fine-grained runtime energy monitoring framework we developed to help developers to diagnose energy hotspots with a better accuracy than the state-of-the-art.
Adel Noureddine, Aurelien Bourdon, Romain Rouvoy, Lionel Seinturier
ASE2