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Hugo Vincent

dblp:161/6167 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Computer networks · 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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 81% Energy-efficient computing · 19%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › embedded software › embedded operating systems
sensor node operating system
0.212014
Yottos operating system connecting low-power devices with high-level programming · SenSys 2014
Energy-efficient computing › power management › low-power mode management
duty cycling
0.112014
Yottos operating system connecting low-power devices with high-level programming · SenSys 2014
Embedded and real-time systems
energy-efficient embedded systems
0.112014
Yottos operating system connecting low-power devices with high-level programming · SenSys 2014

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

task coalescing · 0.2
YearPublicationVenuePosition
2014 Yottos operating system connecting low-power devices with high-level programming
abstract
We present Yottos, an event driven operating system for wireless embedded devices that reduces energy consumption by coalescing tasks into workloads with similar resource requirements thereby reducing time and energy consumed from power cycling peripherals. With Yottos we target a different group of programmers than the ones well-versed in embedded C, TinyOS and Contiki, namely web and app developers who on one hand are familiar with event driven programming in the form of user interaction events, but on the other have no experience with low-level hardware access. We trade off memory footprint (both data and code) in support of a programming environment more akin to iOS and Android development by supporting Objective-C and C/C++.
Marcus Chang, James Crosby, Hugo Vincent
SenSys3