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Eric Lemar

dblp:47/500 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

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

Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 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.

Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 100%
Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

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

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
view management
0.012000
View Management in Multimedia Databases · VLDB J. 2000
Multimedia analysis and retrieval
multimedia database
0.012000
View Management in Multimedia Databases · VLDB J. 2000

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

migration service · 0.1discovery service · 0.1
YearPublicationVenuePosition
2004 System support for pervasive applications
abstract
Pervasive computing provides an attractive vision for the future of computing. Computational power will be available everywhere. Mobile and stationary devices will dynamically connect and coordinate to seamlessly help people in accomplishing their tasks. For this vision to become a reality, developers must build applications that constantly adapt to a highly dynamic computing environment. To make the developers' task feasible, we present a system architecture for pervasive computing, called one.world. Our architecture provides an integrated and comprehensive framework for building pervasive applications. It includes services, such as discovery and migration, that help to build applications and directly simplify the task of coping with constant change. We describe our architecture and its programming model and reflect on our own and others' experiences with using it.
Robert Grimm 0001, Janet Davis, Eric Lemar, Adam MacBeth, Steven Swanson, Thomas E. Anderson, Brian N. Bershad, Gaetano Borriello, Steve D. Gribble, David Wetherall
ACM Trans. Comput. Syst.3
2001 Systems Directions for Pervasive Computing
abstract
Pervasive computing, with its focus on users and their tasks rather than on computing devices and technology, provides an attractive vision for the future of computing. But, while hardware and networking infrastructure to realize this vision are becoming a reality, precious few applications run in this infrastructure. We believe that this lack of applications stems largely from the fact that it is currently too hard to design, build, and deploy applications in the pervasive computing space. In this paper, we argue that existing approaches to distributed computing are flawed along three axes when applied to pervasive computing; we sketch out alternatives that are better suited for this space. First, application data and functionality need to be kept separate, so that they can evolve gracefully, in a global computing infrastructure. Second, applications need to be able to acquire any resource they need at any time, so that they can continuously provide their services in a highly dynamic environment. Third, pervasive computing requires a common system platform, allowing applications to be run across the range of devices and to be automatically distributed and installed.
Robert Grimm 0001, Janet Davis, Ben Hendrickson, Eric Lemar, Adam MacBeth, Steven Swanson, Thomas E. Anderson, Brian N. Bershad, Gaetano Borriello, Steve D. Gribble, David Wetherall
HotOS4
2000 View Management in Multimedia Databases
K. Selçuk Candan, Eric Lemar, V. S. Subrahmanian
VLDB J.2