TY - CONF
T1 - Active architecture for pervasive contextual services
AU - Kirby, Graham
AU - Dearle, Alan
AU - Morrison, Ron
AU - Dunlop, Mark
AU - Connor, Richard
AU - Nixon, Paddy
N1 - International Workshop on Middleware for Pervasive and Ad-hoc Computing MPAC 2003), ACM/IFIP/USENIX International Middleware Conference (Middleware 2003), Rio de Janeiro, Brazil
This work was supported by the FP5 Gloss project IST2000-26070, with partners at Trinity College Dublin and Université Joseph Fourier, and by EPSRC grants GR/M78403/GR/M76225, Supporting Internet Computation in Arbitrary Geographical Locations, and GR/R45154, Bulk Storage of XML Documents.
PY - 2003
Y1 - 2003
N2 - Pervasive services may be defined as services that are available "to any
client (anytime, anywhere)". Here we focus on the software and network
infrastructure required to support pervasive contextual services operating over
a wide area. One of the key requirements is a matching service capable of
as-similating and filtering information from various sources and determining
matches relevant to those services. We consider some of the challenges in
engineering a globally distributed matching service that is scalable,
manageable, and able to evolve incrementally as usage patterns, data formats,
services, network topologies and deployment technologies change. We outline an
approach based on the use of a peer-to-peer architecture to distribute user
events and data, and to support the deployment and evolution of the
infrastructure itself.
AB - Pervasive services may be defined as services that are available "to any
client (anytime, anywhere)". Here we focus on the software and network
infrastructure required to support pervasive contextual services operating over
a wide area. One of the key requirements is a matching service capable of
as-similating and filtering information from various sources and determining
matches relevant to those services. We consider some of the challenges in
engineering a globally distributed matching service that is scalable,
manageable, and able to evolve incrementally as usage patterns, data formats,
services, network topologies and deployment technologies change. We outline an
approach based on the use of a peer-to-peer architecture to distribute user
events and data, and to support the deployment and evolution of the
infrastructure itself.
KW - cs.DC
KW - Distributed, parallel, and cluster computing
UR - http://arxiv.org/abs/1006.4746v1
M3 - Paper
SP - 21
EP - 28
T2 - ACM/IFIP/USENIX International Middleware Conference (Middleware 2003)
Y2 - 16 June 2003 through 20 June 2003
ER -