Ztreamy: A middleware for publishing semantic streams on the Web

Jesus Arias Fisteus, Norberto Fernandez Garcia, Luis Sanchez Fernandez, Damaris Fuentes-Lorenzo

Abstract


In order to make the semantic sensor Web a reality, middleware for efficiently publishing semantically-annotated data streams on the Web is needed. Such middleware should be designed to allow third parties to reuse and mash-up data  coming from streams.

These third parties should even be able to publish their own value-added streams derived from other streams and static data. In this work we present Ztreamy, a scalable middleware platform for the distribution of semantic data streams through HTTP.  The platform provides an API for both publishing and consuming streams, as well as built-in filtering services based on data semantics.  A key contribution of our proposal with respect to other related systems in the state of the art is its scalability. Our experiments with Ztreamy show that a single server is able, in some configurations, to publish a real-time stream to up to 40000 simultaneous clients with delivery delays of just a few seconds, largely outperforming other systems in the state of the art.


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Type of Paper: System Paper
Keywords: semantic sensor Web, stream distribution middleware, semantic stream
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