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Holly Chiang

dblp:170/2552 · DBLP profile ↗
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3ranked-venue papers
3as first author
1since 2021 · last 2021
—ORCID · none

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

Computer networks · 2 · 2 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 · 100%
Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 77% Health and well-being technologies · 23%
Computer networks
1 paper
Internet of things and sensor networks · 100%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 4 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing › power management › dynamic power management
dynamic clock management
0.312018
Dynamic Multi-Clock Management for Embedded Systems · SenSys 2018
Energy-efficient computing
energy management
0.312018
Dynamic Multi-Clock Management for Embedded Systems · SenSys 2018
Energy-efficient computing
power management
0.312018
Dynamic Multi-Clock Management for Embedded Systems · SenSys 2018
Internet of things and sensor networks › energy harvesting
energy harvesting sensor networks
0.212015
Demo: Tethys - An Energy Harvesting Networked Water Flow Sensor · SenSys 2015

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

dynamic voltage and frequency scaling · 0.7energy harvesting · 0.4bluetooth smart · 0.4
YearPublicationVenuePosition
2021 Power Clocks: Dynamic Multi-Clock Management for Embedded Systems
Holly Chiang, Hudson Ayers, Daniel B. Giffin, Amit Levy 0001, Philip Alexander Levis
EWSN1
2018 Dynamic Multi-Clock Management for Embedded Systems
abstract
Modern microcontrollers come with a selection of clock sources that have widely differing frequencies and power consumptions. For applications whose workloads vary over time, dynamically changing the clock can provide significant energy savings. The varying constraints of embedded hardware environments and the complex interactions of multiprogrammed systems makes this approach burdensome to do in application logic. Power Clocks orchestrates energy optimizing clock management in the kernel, obviating the need for application involvement while still achieving acceptable performance for typical workloads. This poster describes Power Clocks's design and presents preliminary results.
Holly Chiang, Daniel B. Giffin, Amit Levy 0001, Philip Alexander Levis
SenSys1
2015 Demo: Tethys - An Energy Harvesting Networked Water Flow Sensor
abstract
We describe Tethys, an energy-harvesting wireless water flow sensor that can monitor water use at a per-fixture level with the intention of associating water use with specific individuals. Tethys was motivated by recent efforts at Stanford University to reduce water use due to the California drought. Understanding how the university population uses water at per-person level can greatly influence policies and conservation approaches. Tethys uses Bluetooth Smart to both identify individuals as well as asynchronously upload data to the cloud for later analysis. We describe two challenges encountered in deploying Tethys: energy harvesting design and the mechanical considerations for high-pressure water at high temperatures.
Holly Chiang, Kevin Kiningham, Laurynas Riliskis, Philip Alexander Levis, Mark Horowitz
SenSys1