Topic
Pull technology
About: Pull technology is a research topic. Over the lifetime, 82 publications have been published within this topic receiving 810 citations.
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Patent•
27 Feb 2002
TL;DR: In this paper, a billboard system for communicating marketing data to a plurality of individuals at least one display means adapted to display marketing information, the display device comprising a communication code interface, the data delivery system comprising a memory for storing marketing data, including marketing data associated with the marketing information displayed by the display means and a communication means adapted for receiving instructions from the plurality of users via a communication device.
Abstract: A billboard system for communicating marketing data to a plurality of individuals at least one display means adapted to display marketing information, the display device comprising a communication code interface for communicating at least one communication code corresponding to a marketing campaign to the plurality of individuals and a data delivery system associated with the at least one display means, the data delivery system comprising a memory for storing marketing data, including marketing data associated with the marketing information displayed by the display means and a communication means adapted to receive instructions from the plurality of users via a communication device, and to communicate data to the plurality of users via the communication device wherein the data delivery system is responsive to the communication device such that the communication means is adapted to permit the plurality of individuals to pull marketing data, including marketing data associated with the marketing information from the memory.
109 citations
TL;DR: A unifying framework that utilizes two Internet technologies, Web-based pull technology and push technology, in supporting classroom-based learning is proposed and evaluated, and two fully operational education support systems based on the framework for two different types of courses are developed.
82 citations
TL;DR: This paper first reviews the features of current document management systems with varying facilities to manage, store and retrieve either reference to documents or whole documents, and Intelligent information retrieval agents are presented as a solution together with a marketing scenario of how they can be introduced.
67 citations
TL;DR: The results show that the proposed parallel video server architecture can be linearly scaled up to more concurrent users simply by adding more servers and redistributing the video data among the servers.
Abstract: In conventional video-on-demand systems, video data are stored in a video server for delivery to multiple receivers over a communications network. The video server's hardware limits the maximum storage capacity as well as the maximum number of video sessions that can concurrently be delivered. Clearly, these limits will eventually be exceeded by the growing need for better video quality and larger user population. This paper studies a parallel video server architecture that exploits server parallelism to achieve incremental scalability. First, unlike data partition and replication, the architecture employs data striping at the server level to achieve fine-grain load balancing across multiple servers. Second, a client-pull service model is employed to eliminate the need for interserver synchronization. Third, an admission-scheduling algorithm is proposed to further control the instantaneous load at each server so that linear scalability can be achieved. This paper analyzes the performance of the architecture by deriving bounds for server service delay, client buffer requirement, prefetch delay, and scheduling delay. These performance metrics and design tradeoffs are further evaluated using numerical examples. Our results show that the proposed parallel video server architecture can be linearly scaled up to more concurrent users simply by adding more servers and redistributing the video data among the servers.
62 citations
TL;DR: A lightweight context-aware IoT service architecture namely LISA is proposed to support IoT push services in an efficient manner and successfully reduces the information provided to the user by selecting only the most relevant among those.
43 citations