Scalablewide-area multicast with temporal rate filtering distribution framework

Harald Gjermundrød; Carl Hauser; David Bakken

doi:10.1109/CIT.2011.19

Scalablewide-area multicast with temporal rate filtering distribution framework

Harald Gjermundrød, Carl Hauser, David Bakken

Department of Computer Science

Washington State University Pullman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

GridStat is a specialization of the publishsubscribe 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.

Original language	English
Title of host publication	Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011
Pages	1-8
Number of pages	8
DOIs	https://doi.org/10.1109/CIT.2011.19
Publication status	Published - 2011
Event	11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011 - Pafos, Cyprus Duration: 31 Aug 2011 → 2 Sept 2011

Other

Other	11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011
Country/Territory	Cyprus
City	Pafos
Period	31/08/11 → 2/09/11

Keywords

Filtering
Multicast
Publish-subscribe
Snapshot

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10.1109/CIT.2011.19

Cite this

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abstract = "GridStat is a specialization of the publishsubscribe 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.",

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Gjermundrød, H, Hauser, C & Bakken, D 2011, Scalablewide-area multicast with temporal rate filtering distribution framework. in Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011., 6036635, pp. 1-8, 11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011, Pafos, Cyprus, 31/08/11. https://doi.org/10.1109/CIT.2011.19

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AB - GridStat is a specialization of the publishsubscribe 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.

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BT - Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011

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Scalablewide-area multicast with temporal rate filtering distribution framework

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