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Brian R. Crowley

dblp:92/2076 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

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

Systems, architecture and hardware · 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
Network measurement and analytics · 67% Internet of things and sensor networks · 33%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › wireless sensor network › network diagnosis
bottleneck detection
0.012001
Network Characterization Service (NCS) · HPDC 2001
Network measurement and analytics
network characterization
0.012001
Network Characterization Service (NCS) · HPDC 2001

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

cooperative information gathering · 0.1
YearPublicationVenuePosition
2001 Network Characterization Service (NCS)
abstract
Distributed applications require information to effectively utilize the network. Some of the information they require is the current and maximum bandwidth, current and minimum latency, bottlenecks, burst frequency and congestion extent. This type of information allows applications to determine parameters like the optimal TCP buffer size. In this paper, we present a cooperative information-gathering tool called the Network Characterization Service (NCS). NCS runs in the user space and is used to acquire network information. Its protocol is designed for scalable and distributed deployment, similar to DNS. Its algorithms provide efficient, speedy and accurate detection of bottlenecks, especially dynamic bottlenecks. On current and future networks, dynamic bottlenecks do and will affect network performance dramatically.
Guojun Jin, George Yang, Brian R. Crowley, Deborah A. Agarwal
HPDC3