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Ubiquitous computing platform enables interactions among users, applications, and services through wireless devices. People nowadays always connect to the Internet while moving. Although portable device can provide high-speed connectivity, a user may move in areas with weak signal or thin bandwidth. In this paper, a ubiquitous computing platform is designed for quality control of multimedia and data context through the Internet to users. Traffic content should be properly classified, whether it is in real-time or non-real-time, casual or critical, data or multimedia. Furthermore, a session may be a combination of different traffic types. Information about 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 (QoS) 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. Traffic becomes redundant and useless when delivered information exceeds the delay tolerance of human beings. In the proposed platform, modifications are executed through the 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.