RRPS: A Ranked Real-Time Publish/Subscribe Using Adaptive QoS
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
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Complex distributed real-time applications require complicated processing and sharing of an extensive amount of data under critical timing constraints. In this paper, we present a comprehensive overview of the Data Distribution Service standard (DDS) and describe its QoS (Quality of Service) features for developing real-time applications. Real-time ECA (RECA) rules are introduced to efficiently describe QoS policy in an active real-time database (ARTDB) named Agilor. And then we propose a novel QoS-Enable Real-Time Publish-Subscribe (QERTPS) service compatible to DDS for distributed real-time data acquisition. QERTPS could support several different QoS levels for various applications at the same time. Furthermore, QERTPS is implemented by object models and RECA rules in Agilor. To illustrate the benefits of QERTPS for real-time data acquisition, an example application is presented. Experimental evaluation shows that the proposed service provides a stable and timely service for providing different QoS levels.