Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Desbordante: A Framework for Exploring Limits of Dependency Discovery Algorithms. / Strutovskiy, Maxim; Bobrov, Nikita; Smirnov, Kirill; Chernishev, George.
Proceedings of the 29th Conference of Open Innovations Association FRUCT, FRUCT 2021. ed. / Sergey Balandin; Yevgeni Koucheryavy; Tatiana Tyutina. Institute of Electrical and Electronics Engineers Inc., 2021. p. 344-354 9435469 (Conference of Open Innovation Association, FRUCT; Vol. 2021-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Desbordante: A Framework for Exploring Limits of Dependency Discovery Algorithms
AU - Strutovskiy, Maxim
AU - Bobrov, Nikita
AU - Smirnov, Kirill
AU - Chernishev, George
N1 - Publisher Copyright: © 2021 FRUCT.
PY - 2021/5/12
Y1 - 2021/5/12
N2 - Automatic discovery of various types of database dependencies (functional, inclusion, matching, and others) is a topic that has received a great deal of attention in the recent years. The problem is formulated as following: having an unexplored dataset, find all dependencies that hold on this data. Such problem formulation arises in business and scientific applications and is aimed at the discovery of patterns in data. Metanome is a pioneering platform which was used to benchmark existing and develop new dependency discovery algorithms. It is notable since it was the first attempt to unify all existing discovery algorithms inside a single suite. However, it should be considered a research prototype rather than a system ready for industrial use. The core reason for this is the choice of the implementation platform (Java) and the absence of optimizations. In this paper we address the problem of high-performance dependency discovery. We present Desbordante - a platform that is intended to make the most of the available computational resources and thus to be more suitable for industrial use. Finally, we evaluate our system experimentally and pose a number of research questions related to the obtained performance and justify its necessity. More precisely we examine 1) whether the Java implementation is indeed worse than the C++ one, 2) is it possible to use simple tricks to improve Metanome's performance, 3) what are the exact reasons behind the performance gap, and 4) what are the user-facing benefits of switching the implementations.
AB - Automatic discovery of various types of database dependencies (functional, inclusion, matching, and others) is a topic that has received a great deal of attention in the recent years. The problem is formulated as following: having an unexplored dataset, find all dependencies that hold on this data. Such problem formulation arises in business and scientific applications and is aimed at the discovery of patterns in data. Metanome is a pioneering platform which was used to benchmark existing and develop new dependency discovery algorithms. It is notable since it was the first attempt to unify all existing discovery algorithms inside a single suite. However, it should be considered a research prototype rather than a system ready for industrial use. The core reason for this is the choice of the implementation platform (Java) and the absence of optimizations. In this paper we address the problem of high-performance dependency discovery. We present Desbordante - a platform that is intended to make the most of the available computational resources and thus to be more suitable for industrial use. Finally, we evaluate our system experimentally and pose a number of research questions related to the obtained performance and justify its necessity. More precisely we examine 1) whether the Java implementation is indeed worse than the C++ one, 2) is it possible to use simple tricks to improve Metanome's performance, 3) what are the exact reasons behind the performance gap, and 4) what are the user-facing benefits of switching the implementations.
UR - http://www.scopus.com/inward/record.url?scp=85107450137&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/adcbcd4a-3100-314e-9fcc-266e246d5c1b/
U2 - 10.23919/fruct52173.2021.9435469
DO - 10.23919/fruct52173.2021.9435469
M3 - Conference contribution
AN - SCOPUS:85107450137
T3 - Conference of Open Innovation Association, FRUCT
SP - 344
EP - 354
BT - Proceedings of the 29th Conference of Open Innovations Association FRUCT, FRUCT 2021
A2 - Balandin, Sergey
A2 - Koucheryavy, Yevgeni
A2 - Tyutina, Tatiana
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th Conference of Open Innovations Association FRUCT, FRUCT 2021
Y2 - 12 May 2021 through 14 May 2021
ER -
ID: 85237755