Demo Data from EDBT 2026 / reviewers in the wild / expert
Hyung Kim
dblp:23/4525
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 networks
1 paper |
Internet of things and sensor networks · 50% Edge and fog computing · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Energy-efficient computing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Edge and fog computing › edge data management › edge storage
data placement |
0.0 | 1 | 2003 | Energy-Conserving Data Placement and Asynchronous Multicast in Wireless Sensor Networks · MobiSys 2003 |
Internet of things and sensor networks
wireless sensor network |
0.0 | 1 | 2003 | Energy-Conserving Data Placement and Asynchronous Multicast in Wireless Sensor Networks · MobiSys 2003 |
Energy-efficient computing › power management
energy-efficient networking |
0.0 | 1 | 2003 | Energy-Conserving Data Placement and Asynchronous Multicast in Wireless Sensor Networks · MobiSys 2003 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.1distributed application-layer service · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Energy-Conserving Data Placement and Asynchronous Multicast in Wireless Sensor NetworksabstractIn recent years, large distributed sensor networks have emerged as a new fast-growing application domain for wireless computing. In this paper, we present a distributed application-layer service for data placement and asynchronous multicast whose purpose is power conservation. Since the dominant traffic in a sensor network is that of data retrieval, (i) caching mutable data at locations that minimize the sum of request and update traffic, and (ii) asynchronously multicasting updates from sensors to observers can significantly reduce the total number of packet transmissions in the network. Our simulation results show that our service subsequently reduces network energy consumption while maintaining the desired data consistency semantics. Sagnik Bhattacharya, Hyung Kim, Kumar Shashi Prabh, Tarek F. Abdelzaher |
MobiSys | 2 |