Real-life performance of metric searching

DOHNAL, Vlastislav a Pavel ZEZULA. Real-life performance of metric searching. SIGSPATIAL Special. New York, USA: ACM, roč. 2, č. 2, s. 28-31. ISSN 1946-7729. 2010.

Základní 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

• Originální 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
• WWW: URL
• Kód RIV: RIV/00216224:14330/10:00044990
• Organizační jednotka: Fakulta informatiky
• Klíčová slova anglicky: similarity searching; real-life performance; metric space
• Štítky: DISA
• Příznaky: Mezinárodní význam, Recenzováno

Anotace

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.

Anotace 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: Název: Vyhledávání v rozsáhlých multimediálních databázích

Investor: Grantová agentura ČR, Vyhledávání v rozsáhlých multimediálních databázích