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Martin Modahl

dblp:01/3439 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2006
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 3 · 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.

Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

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

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments › pervasive computing infrastructure
pervasive computing middleware
0.012004
MediaBroker: An Architecture for Pervasive Computing · PerCom 2004
Distributed systems › resource sharing
data sharing
0.012004
MediaBroker: An Architecture for Pervasive Computing · PerCom 2004
YearPublicationVenuePosition
2006 UbiqStack: a taxonomy for a ubiquitous computing software stack
Martin Modahl, Bikash Agarwalla, T. Scott Saponas, Gregory D. Abowd, Umakishore Ramachandran
Pers. Ubiquitous Comput.1
2005 MediaBroker: A pervasive computing infrastructure for adaptive transformation and sharing of stream data
Umakishore Ramachandran, Martin Modahl, Ilya Bagrak, Matthew Wolenetz, David J. Lillethun, Bin Liu 0010, James Kim, Phillip W. Hutto, Ramesh Jain 0001
Pervasive Mob. Comput.2
2004 MediaBroker: An Architecture for Pervasive Computing
abstract
MediaBroker is a distributed framework designed to support pervasive computing applications. Specifically, the architecture consists of a transport engine and peripheral clients and addresses issues in scalability, data sharing, data transformation and platform heterogeneity. Key features of MediaBroker are a type-aware data transport that is capable of dynamically transforming data en route from source to sinks; an extensible system for describing types of streaming data; and the interaction between the transformation engine and the type system. Details of the MediaBroker architecture and implementation are presented in this paper. Through experimental study, we show reasonable performance for selected streaming media-intensive applications. For example, relative to baseline TCP performance, MediaBroker incurs under 11% latency overhead and achieves roughly 80% of the TCP throughput when streaming items larger than 100 KB across our infrastructure.
Martin Modahl, Ilya Bagrak, Matthew Wolenetz, Phillip W. Hutto, Umakishore Ramachandran
PerCom1