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David E. Gay

dblp:45/3803 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

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

Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 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.

Databases, data mining, and information retrieval
1 paper
Query processing and optimization · 50% Distributed and cloud data management · 50%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 50% Speech recognition and synthesis · 50%

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

TopicWeightPapersLastEvidence papers
Distributed and cloud data management
declarative networking
0.112006
Declarative networking: language, execution and optimization · SIGMOD Conference 2006
Query processing and optimization
recursive query
0.112006
Declarative networking: language, execution and optimization · SIGMOD Conference 2006

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

evolving transformation system · 0.1
YearPublicationVenuePosition
2006 Declarative networking: language, execution and optimization
abstract
The networking and distributed systems communities have recently explored a variety of new network architectures, both for application-level overlay networks, and as prototypes for a next-generation Internet architecture. In this context, we have investigated declarative networking: the use of a distributed recursive query engine as a powerful vehicle for accelerating innovation in network architectures [23, 24, 33]. Declarative networking represents a significant new application area for database research on recursive query processing. In this paper, we address fundamental database issues in this domain. First, we motivate and formally define the Network Datalog (NDlog) language for declarative network specifications. Second, we introduce and prove correct relaxed versions of the traditional semi-naïve query evaluation technique, to overcome fundamental problems of the traditional technique in an asynchronous distributed setting. Third, we consider the dynamics of network state, and formalize the iheventual consistencyl. of our programs even when bursts of updates can arrive in the midst of query execution. Fourth, we present a number of query optimization opportunities that arise in the declarative networking context, including applications of traditional techniques as well as new optimizations. Last, we present evaluation results of the above ideas implemented in our P2 declarative networking system, running on 100 machines over the Emulab network testbed.
Boon Thau Loo, Tyson Condie, Minos N. Garofalakis, David E. Gay, Joseph M. Hellerstein, Petros Maniatis, Raghu Ramakrishnan 0001, Timothy Roscoe, Ion Stoica
SIGMOD Conference4
2005 Structural Representation and Matching of Articulatory Speech Structures based on the Evolving Transformation System (ETS) Formalism
Alexander Gutkin, David E. Gay
IJCAI2