On context-aware distributed event dissemination

In pervasive environments, the Pub/Sub paradigm is regarded as an important means of information sharing and event dissemination. In this paper, we first analyze different context in Pub/Sub systems that has remarkable impacts upon user's satisfaction to event dissemination and then give corresponding strategies by exploiting time context and event-preference context so as to provide personalized event dissemination. That is, by leveraging time context, we provide the extended matching against long-standing events, and by leveraging event-preference context, we present the recommendation algorithm which is based on hidden Markov process. Performance analysis and experiment evaluation show that both strategies can improve user's experiences of event dissemination.