Explicit Context Matching in Content-Based Publish/Subscribe Systems

Sensors

Sergio Vavassori²  Javier Soriano²  David Lizcano¹ 

[1] School of Computer Science, Open University of Madrid (UDIMA), 28400-Collado Villalba, Madrid, Spain;School of Computer Science, Universidad Politécnica de Madrid, 28660-Boadilla del Monte, Madrid, Spain; E-Mails:

关键词: content-based publish/subscribe;    context-awareness;    contextual scoping;    overlay network;   

DOI  :  10.3390/s130302945

来源: mdpi

【 摘 要 】

Although 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 efficiently 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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.