Towards High Similarity Search Throughput by Dynamic Query Reordering and Parallel Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00094944" target="_blank" >RIV/00216224:14330/17:00094944 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-66917-5_18" target="_blank" >http://dx.doi.org/10.1007/978-3-319-66917-5_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-66917-5_18" target="_blank" >10.1007/978-3-319-66917-5_18</a>
Alternative languages
Result language
angličtina
Original language name
Towards High Similarity Search Throughput by Dynamic Query Reordering and Parallel Processing
Original language description
Current era of digital data explosion calls for employment of content-based similarity search techniques since traditional searchable metadata like annotations are not always available. In our work, we focus on a scenario where the similarity search is used in the context of stream processing, which is one of the suitable approaches to deal with huge amounts of data. Our goal is to maximize the throughput of processed queries while a slight delay is acceptable. We extend our previously published technique that dynamically reorders the incoming queries in order to use our caching mechanism more effectively. The extension lies in adoption of a parallel computing environment which allows us to process multiple queries simultaneously.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-18889S" target="_blank" >GA16-18889S: Big Data Analytics for Unstructured Data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Databases and Information Systems : 21st European Conference, ADBIS 2017, Nicosia, Cyprus, September 24-27, 2017, Proceedings
ISBN
9783319669168
ISSN
0302-9743
e-ISSN
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Number of pages
16
Pages from-to
262-277
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Nicosia, Cyprus
Event date
Sep 24, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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