Standard

An architecture for approximate real-time query optimization and processing. / Yarygina, A.; Novikov, B.

An architecture for approximate real-time query optimization and processing. 2014. p. 24-31.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research

Harvard

Yarygina, A & Novikov, B 2014, An architecture for approximate real-time query optimization and processing. in An architecture for approximate real-time query optimization and processing. pp. 24-31. <http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84919341550&origin=inward>

APA

Yarygina, A., & Novikov, B. (2014). An architecture for approximate real-time query optimization and processing. In An architecture for approximate real-time query optimization and processing (pp. 24-31) http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84919341550&origin=inward

Vancouver

Yarygina A, Novikov B. An architecture for approximate real-time query optimization and processing. In An architecture for approximate real-time query optimization and processing. 2014. p. 24-31

Author

Yarygina, A. ; Novikov, B. / An architecture for approximate real-time query optimization and processing. An architecture for approximate real-time query optimization and processing. 2014. pp. 24-31

BibTeX

@inproceedings{d8b550e5e3284c3daa525828ac173a12,
title = "An architecture for approximate real-time query optimization and processing",
abstract = "High-level declarative scripting languages are considered to be an effective tool for specification and execution of complex analytical data processing scenarios as they can hide the complexity of underlying heterogeneous processing environment. A growing demand to process huge amounts of data under real-time requirements as well as advanced similarity-based models raises the need in approximate processing. We discuss architecture of an extendable system for optimization and execution of approximate complex queries formulated in similarity-based declarative query language.",
author = "A. Yarygina and B. Novikov",
year = "2014",
language = "English",
pages = "24--31",
booktitle = "An architecture for approximate real-time query optimization and processing",

}

RIS

TY - GEN

T1 - An architecture for approximate real-time query optimization and processing

AU - Yarygina, A.

AU - Novikov, B.

PY - 2014

Y1 - 2014

N2 - High-level declarative scripting languages are considered to be an effective tool for specification and execution of complex analytical data processing scenarios as they can hide the complexity of underlying heterogeneous processing environment. A growing demand to process huge amounts of data under real-time requirements as well as advanced similarity-based models raises the need in approximate processing. We discuss architecture of an extendable system for optimization and execution of approximate complex queries formulated in similarity-based declarative query language.

AB - High-level declarative scripting languages are considered to be an effective tool for specification and execution of complex analytical data processing scenarios as they can hide the complexity of underlying heterogeneous processing environment. A growing demand to process huge amounts of data under real-time requirements as well as advanced similarity-based models raises the need in approximate processing. We discuss architecture of an extendable system for optimization and execution of approximate complex queries formulated in similarity-based declarative query language.

M3 - Conference contribution

SP - 24

EP - 31

BT - An architecture for approximate real-time query optimization and processing

ER -

ID: 7063416