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Explicit Context Matching in Content-Based Publish/Subscribe Systems
AbstractAlthough context could be exploited to improve performance, elasticity and adaptation in most distributed systems that adopt the publish/subscribe (P/S) communication model, only a few researchers have focused on the area of context-aware matching in P/S systems and have explored its implications in domains with highly dynamic context like wireless sensor networks (WSNs) and IoT-enabled applications. Most adopted P/S models are context agnostic or do not differentiate context from the other application data. In this article, we present a novel context-aware P/S model. SilboPS manages context explicitly, focusing on the minimization of network overhead in domains with recurrent context changes related, for example, to mobile ad hoc networks (MANETs). Our approach represents a solution that helps to effciently share and use sensor data coming from ubiquitous WSNs across a plethora of applications intent on using these data to build context awareness. Specifically, we empirically demonstrate that decoupling a subscription from the changing context in which it is produced and leveraging contextual scoping in the filtering process notably reduces (un)subscription cost per node, while improving the global performance/throughput of the network of brokers without altering the cost of SIENA-like topology changes.
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Vavassori, S.; Soriano, J.; Lizcano, D.; Jiménez, M. Explicit Context Matching in Content-Based Publish/Subscribe Systems. Sensors 2013, 13, 2945-2966.View more citation formats
Vavassori S, Soriano J, Lizcano D, Jiménez M. Explicit Context Matching in Content-Based Publish/Subscribe Systems. Sensors. 2013; 13(3):2945-2966.Chicago/Turabian Style
Vavassori, Sergio; Soriano, Javier; Lizcano, David; Jiménez, Miguel. 2013. "Explicit Context Matching in Content-Based Publish/Subscribe Systems." Sensors 13, no. 3: 2945-2966.
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