Research Article
Similarity Searching in Structured and Unstructured P2P Networks
@INPROCEEDINGS{10.1007/978-3-642-10625-5_25, author={Vlastislav Dohnal and Pavel Zezula}, title={Similarity Searching in Structured and Unstructured P2P Networks}, proceedings={Quality of Service in Heterogeneous Networks. 6th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2009 and 3rd International Workshop on Advanced Architectures and Algorithms for Internet Delivery and Applications, AAA-IDEA 2009, Las Palmas, Gran Canaria, November 23-25, 2009 Proceedings}, proceedings_a={QSHINE}, year={2012}, month={10}, keywords={similarity searching structured peer-to-peer network unstructured peer-to-peer network self-organizing system metric space scalability resilience to failures performance evaluation}, doi={10.1007/978-3-642-10625-5_25} }- Vlastislav Dohnal
Pavel Zezula
Year: 2012
Similarity Searching in Structured and Unstructured P2P Networks
QSHINE
Springer
DOI: 10.1007/978-3-642-10625-5_25
Abstract
The exponential growth of digital data in contemporary computer networks induces a lot of scalability, resilience, and survivability issues. At the same time, the increasing complexity of digital data makes the task of similarity searching that is inherently difficult, more and more important. In this paper, we report on the Multi Feature Indexing Network, MUFIN, which is an extensible, scalable, and infrastructure independent similarity search engine. It is able to achieve high performance and guarantee quality of service by applying structured Peer-to-Peer networks. On the other hand, its unstructured version based on self-organizing principles is extremely robust and able to operate in very volatile environments. To exemplify MUFIN’s properties, an on-line demo is available for public use.
