2010
Real-life performance of metric searching
DOHNAL, Vlastislav a Pavel ZEZULAZákladní údaje
Originální název
Real-life performance of metric searching
Autoři
DOHNAL, Vlastislav (203 Česká republika, garant) a Pavel ZEZULA (203 Česká republika)
Vydání
SIGSPATIAL Special, New York, USA, ACM, 2010, 1946-7729
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Kód RIV
RIV/00216224:14330/10:00044990
Organizační jednotka
Fakulta informatiky
Klíčová slova anglicky
similarity searching; real-life performance; metric space
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 22. 10. 2010 16:00, doc. RNDr. Vlastislav Dohnal, Ph.D.
V originále
Similarity is a central notion throughout human lives and it will soon become the prevalent strategy for dealing with digital content also in computer systems. But the exponential growth of data makes the scalability and performance issues serious matters of concern. Contemporary decentralized media of mass communication allowing cooperative and collaborative practices enable users autonomously contribute to production of global media, whose elements are in fact related by numerous multi-facet links of similarity. As an example, consider the sites like Flickr, YouTube, or Facebook that host user-contributed heterogeneous content for a variety of events. Accordingly, the core ability of future data processing systems is the similarity management of large and ever growing volumes of data. In a simplified way, the real-life performance can be constrained from two points of view: (1) the query response time, and (2) the query execution throughput, i.e. the number of queries processed per a unit of time.
Česky
Similarity is a central notion throughout human lives and it will soon become the prevalent strategy for dealing with digital content also in computer systems. But the exponential growth of data makes the scalability and performance issues serious matters of concern. Contemporary decentralized media of mass communication allowing cooperative and collaborative practices enable users autonomously contribute to production of global media, whose elements are in fact related by numerous multi-facet links of similarity. As an example, consider the sites like Flickr, YouTube, or Facebook that host user-contributed heterogeneous content for a variety of events. Accordingly, the core ability of future data processing systems is the similarity management of large and ever growing volumes of data. In a simplified way, the real-life performance can be constrained from two points of view: (1) the query response time, and (2) the query execution throughput, i.e. the number of queries processed per a unit of time.
Návaznosti
| GA201/09/0683, projekt VaV |
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