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Trolan C. L. Ma

dblp:45/7791 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 · 50% Energy-efficient computing · 50%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

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

TopicWeightPapersLastEvidence papers
Energy-efficient computing
energy-aware scheduling
0.012000
A User-Customizable Energy-Adaptive Combined Static/Dynamic Scheduler for Mobile Applications · RTSS 2000
Embedded and real-time systems
real-time scheduling
0.012000
A User-Customizable Energy-Adaptive Combined Static/Dynamic Scheduler for Mobile Applications · RTSS 2000
Operating systems › resource management › process management › CPU scheduling
scheduler design
0.012000
A User-Customizable Energy-Adaptive Combined Static/Dynamic Scheduler for Mobile Applications · RTSS 2000

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

simulation · 0.1
YearPublicationVenuePosition
2000 A User-Customizable Energy-Adaptive Combined Static/Dynamic Scheduler for Mobile Applications
abstract
In mobile applications, the energy consumed by operating system (OS) and application tasks primarily comes from a limited DC battery source, which imposes an upper bound to the amount of time available for execution of tasks. To achieve the best energy-aware quality of service (EQoS), it is important to prioritize the scheduling of critical tasks over non-critical tasks to improve overall performance while extending the battery life. Using the CSD (Combined Static/Dynamic) scheduler in the EMERALDS operating system as a basis, we developed EA-CSD (Energy-Adaptive CSD) with an energy-aware scheduling algorithm that executes tasks to achieve the effective use of limited energy by favoring low-energy and critical tasks. Our simulation of the EA-CSD shows that battery life can be extended up to about 100% with varying degrees of performance degradation of up to about 40%, and the actual values of both are fully customizable by the user through parametric adjustment.
Trolan C. L. Ma, Kang G. Shin
RTSS1