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Feedback-based Performance Tuning for Self-organizing Multimedia Retrieval Systems

Basic information
Original title:Feedback-based Performance Tuning for Self-organizing Multimedia Retrieval Systems
Authors:Jan Sedmidubský, Vlastislav Dohnal, Pavel Zezula
Further information
Citation:SEDMIDUBSKÝ, Jan - DOHNAL, Vlastislav - ZEZULA, Pavel. Feedback-based Performance Tuning for Self-organizing Multimedia Retrieval Systems. In International Conference on Advances in Multimedia (MMEDIA 2010). Los Alamitos, CA 90720-1314 : IEEE Computer Society, 2010. ISBN 978-0-7695-4068-9, pp. 102-108. 13.6.2010, Athens/Glyfada, Greece.
Original language:English
Field:Informatika
Type:Article in Proceedings
Keywords:self-organizing system; feedback; similarity search; multimedia retrieval

We concentrate on content-based retrieval in unstructured P2P networks consisting of thousands of peers that unpredictably join and leave the network. Such environments with permanent churning of peers require self-organizing mechanisms that should deal with sudden peer failures, arrivals of new peers, and continual changes of data or network topology. In this paper, we propose a self-organizing search system that operates in an unstructured P2P network and allows users to search for multimedia data by their content. The peers are interconnected by relationships established according to answers returned to queries. In order to select appropriate relationships for query forwarding, we define and evaluate a new adaptive routing algorithm. The routing algorithm is influenced by automatically evaluated feedback, so the system does not need any user intervention. The experiments are evaluated on a real-life image data set.

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