QoS control framework for content satisfaction in ubiquitous multimedia computing

Ubiquitous computing platform enables interactions among users, applications, and services through wireless devices. People always connect to the Internet while moving. Although portable device can provide high-speed connectivity, a user may move into area with weak signal or thin bandwidth, which possibly hinder the reception of satisfactory multimedia traffic. In this paper, a ubiquitous computing platform is designed for quality control of multimedia and data context through the Internet to users. For the proposed platform to perform properly, traffic content should be classified into real-time or non-real-time, casual or critical, data or multimedia traffic type. Indeed, a session may consist of different traffic classes. Information for classifications may be identified through the communications between content providers and clients, or through direct communication between the platform and providers or clients. It is the goal of the proposed Quality of Service control framework which provides mechanisms for delivering satisfactory content to subscribers, through content adaptation and selections. The focus of this paper will be on setting real-time performance bound regarding multimedia traffic. Quality of images and videos can be adapted to fit different performance constraints in networks. Furthermore, traffic becomes redundant and useless when delivered information exceeds the delay tolerance of human beings. In our proposed platform, modifications are executed through agent technology inside the Internet. Thorough experiments have been carried out, and the impacts of real-time bounds are examined. Measured results indicate that the proposed framework works and meets the expectations of end-users.