QoS Adaptation for Publish/Subscribe Middleware in Real-Time Dynamic Environments

Basem Almadani1, Shadi Abudalfa1, and Shuang-Hua Yang2

1Computer Engineering Department, King Fahd University of Petroleum and Minerals, KSA

2Computer Science Department, Loughborough University, UK

Abstract: Automatic Quality of Service (QoS) adaptation is promising approaches in developing real-time systems built on publish/subscribe middleware, and its importance increased when developing huge real-time distributed systems in dynamic environments. In this paper we proposed a new approach by building a closed loop QoS adaptive control for adapting some QoS polices automatically in publish/subscribe middleware. We use some techniques of artificial intelligence to automate QoS adaptation and improve the performance of the real-time systems in dynamic environments. The proposed approach improves the performance of the real-time system by saving its computing capabilities and making it more stable. Experimental results shown in this paper illustrate the effectiveness of the proposed approach. Keywords: Publish/subscribe middleware,QoS, adaptation, DDS, real-time, dynamic environments, clustering, online kmeans.

Received April 4, 2014; accepted May 24, 2015