Detailed Information on Publication Record
2009
Similarity Searching in Structured and Unstructured P2P Networks
DOHNAL, Vlastislav and Pavel ZEZULABasic information
Original name
Similarity Searching in Structured and Unstructured P2P Networks
Name in Czech
Podobnostní hledání ve strukturovaných a nestrukturovaných P2P sítích
Authors
DOHNAL, Vlastislav (203 Czech Republic, guarantor, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)
Edition
Berlin Heidelberg, Social-Informatics and Telecommunications Engineering, p. 400-416, 17 pp. 2009
Publisher
Springer
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/09:00065867
Organization unit
Faculty of Informatics
ISBN
978-3-642-10624-8
ISSN
UT WoS
000307744900025
Keywords (in Czech)
similarity searching; structured peer-to-peer network; unstructured peer-to-peer network; self-organizing system; metric space; scalability; resilience to failures; performance evaluation
Keywords in English
podobnostní hledání; strukturované peer-to-peer sítě; nestrukturované peer-to-peer sítě; samoorganizující se systémy; metrický prostor; škálovatelnost; odolnost proti výpadkům; výkonnostní vyhodnocení
Tags
Tags
International impact, Reviewed
Změněno: 29/4/2014 09:02, RNDr. Pavel Šmerk, Ph.D.
V originále
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.
In Czech
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.
Links
| GA201/09/0683, research and development project |
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| GP201/07/P240, research and development project |
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