CMS-ToPSS: Efficient Dissemination of RSS Documents
CMS-ToPSS is a novel extension to content management systems, for scalable dissemination of RSS documents, based on the
publish/subscribe model. The extension provides fast
routing and filtering of RSS documents as well as
timely delivery of publications in a scalable manner
using a novel graph-based meta-data filtering algorithm.
Tags: content-based publish/subscribe, publish/subscribe, topss, graph-based pub/sub
Readers who enjoyed the above work, may also like the following:
- G-ToPSS: Fast Filtering of Graph-based Metadata.
Milenko Petrovic, Haifeng Liu, and Hans-Arno Jacobsen.
In World Wide Web Conference, pages 539-547, Chiba, Japan, May 2005.
Nominated for best paper award, i.e., one of four finalist papers. Acceptance rate: 14%. Number of submissions: 550.
Tags: algorithms, content-based publish/subscribe, event processing, publish/subscribe, topss, graph-based pub/sub
- Predictive Publish/Subscribe Matching.
Vinod Muthusamy, Haifeng Liu, and Hans-Arno Jacobsen.
In ACM Distributed Event-based Systems (DEBS), pages 14-25, July 2010.
Acceptance rate: 25% .
Tags: algorithms, content-based publish/subscribe, publish/subscribe, pub/sub applications, predictive publish/subscribe, topss, event processing, p-topss, probabilistic data management
- A System for Semantic Data Fusion in Sensor Networks.
Alex Wun, Milenko Petrovic, and Hans-Arno Jacobsen.
In DEBS 2007, pages 75-79, Toronto, Canada, June 2007.
Tags: content-based publish/subscribe, sensor networks, pub/sub applications, publish/subscribe, micro-topss, topss, padres