Title
Scalable Wide-Area Multicast with Temporal Rate Filtering Distribution Framework
Abstract
GridStat is a specialization of the publish-subscribe paradigm that takes advantage of the semantics of periodic updates of cached sensor data to provide data delivery with a per-subscriber rate, latency, and redundant paths. In critical infrastructures, like the electric power grid, it is of paramount importance that the measurements which are used for control and monitoring of the infrastructure are all taken at the same time. One of the core features of GridStat is the multicast with temporal rate filtering forwarding logic of temporal related variables. This provides for the possibility of taking a snapshot of the state of a set of variables that are published at the same time and deliver them to the subscribers with per subscriber specified QoS.
Year
DOI
Venue
2011
10.1109/CIT.2011.19
Computer and Information Technology
Keywords
Field
DocType
temporal rate,core feature,forwarding logic,critical infrastructure,temporal rate filtering distribution,per-subscriber rate,paramount importance,data delivery,cached sensor data,scalable wide-area multicast,electric power grid,temporal related variable,multicast,engines,middleware,electric power,statistical analysis,algorithm design and analysis,routing,filtering,algorithm design,publish subscribe,iron,quality of service,snapshot
Middleware,Algorithm design,Computer science,Cache,Filter (signal processing),Quality of service,Computer network,Real-time computing,Multicast,Snapshot (computer storage),Distributed computing,Scalability
Conference
ISBN
Citations 
PageRank 
978-0-7695-4388-8
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Harald Gjermundrod100.68
Carl Hauser28112.60
David Bakken330.84