Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Youngho Ahn

dblp:10/2856 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

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

Computer networks · 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
Energy-efficient computing · 87% Embedded and real-time systems · 13%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Operating systems
resource management
0.212016
User-Centric Power Management for Embedded CPUs Using CPU Bandwidth Control · IEEE Trans. Mob. Comput. 2016
Energy-efficient computing › power management
dynamic voltage and frequency scaling
0.212016
User-Centric Power Management for Embedded CPUs Using CPU Bandwidth Control · IEEE Trans. Mob. Comput. 2016
Energy-efficient computing
power management
0.212016
User-Centric Power Management for Embedded CPUs Using CPU Bandwidth Control · IEEE Trans. Mob. Comput. 2016
Embedded and real-time systems › embedded processor
mobile processor
0.112016
User-Centric Power Management for Embedded CPUs Using CPU Bandwidth Control · IEEE Trans. Mob. Comput. 2016

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

linux kernel · 0.5DVFS · 0.5CPU bandwidth control · 0.5
YearPublicationVenuePosition
2016 User-Centric Power Management for Embedded CPUs Using CPU Bandwidth Control
abstract
Dynamic power management for mobile processors has become very important due to the increased clock speed and number of cores. There have been various power management governors using dynamic voltage and frequency scaling (DVFS). Among them, a user-centric power management has received a lot of attention as a method to save power while maintaining the quality of user experience (UX) referring to the perceived quality of system services to end users. Most user-centric governors have employed DVFS as a method to reduce the power consumption. However, DVFS may not be adequate enough to guarantee UX qualities for all task because the CPU clock speed changed by DVFS can affect all tasks running at the same processor. In order to minimize such inter-task interferences by DVFS, it is necessary to employ task-specific power management methods. This paper shows that CPU bandwidth control developed for CPU resource management within Linux kernel can be employed as a task-specific power management method, and a novel CPU power management scheme employing both DVFS and CPU bandwidth control is proposed. Experimental results show that the proposed governor can reduce the power consumption more than the Ondemand governor can achieve while maintaining the quality of UX.
Youngho Ahn, Ki-Seok Chung
IEEE Trans. Mob. Comput.1