A data stream cube for OLAP systems

Ho Jin Woo, Nam Hun Park, Woo Sock Yang, Won Suk Lee

Research output: Contribution to journalArticle

Abstract

The OLAP has greatly evolved in the areas of database and data warehouse systems for multidimensional data analysis. Especially, the data cube has been successfully applied to multi-dimensional data analysis. Most of emerging applications such as network traffic analysis, web click stream monitoring and sensor data processing deal with an infinite data stream which generates its data elements in a rapid rate. This paper proposed a dynamic cube for efficiently adopting the conventional data cube to a data stream environment. It is impossible to store all produced data in a limited memory space due to the characteristic of the data stream. Consequently, it is better to try to provide meaningful information by utilizing given memory space. The dynamic cube reduces memory usage and processing time not only by employing a user-interesting area but also by managing attribute as groups.

Original languageEnglish
Pages (from-to)1749-1754
Number of pages6
JournalInformation (Japan)
Volume17
Issue number5
Publication statusPublished - 2014 Jan 1

Fingerprint

Data storage equipment
Data warehouses
Monitoring
Sensors
Processing

All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Woo, H. J., Park, N. H., Yang, W. S., & Lee, W. S. (2014). A data stream cube for OLAP systems. Information (Japan), 17(5), 1749-1754.
Woo, Ho Jin ; Park, Nam Hun ; Yang, Woo Sock ; Lee, Won Suk. / A data stream cube for OLAP systems. In: Information (Japan). 2014 ; Vol. 17, No. 5. pp. 1749-1754.
@article{2dd7e5901f8248b4aae6cbd0716d30a3,
title = "A data stream cube for OLAP systems",
abstract = "The OLAP has greatly evolved in the areas of database and data warehouse systems for multidimensional data analysis. Especially, the data cube has been successfully applied to multi-dimensional data analysis. Most of emerging applications such as network traffic analysis, web click stream monitoring and sensor data processing deal with an infinite data stream which generates its data elements in a rapid rate. This paper proposed a dynamic cube for efficiently adopting the conventional data cube to a data stream environment. It is impossible to store all produced data in a limited memory space due to the characteristic of the data stream. Consequently, it is better to try to provide meaningful information by utilizing given memory space. The dynamic cube reduces memory usage and processing time not only by employing a user-interesting area but also by managing attribute as groups.",
author = "Woo, {Ho Jin} and Park, {Nam Hun} and Yang, {Woo Sock} and Lee, {Won Suk}",
year = "2014",
month = "1",
day = "1",
language = "English",
volume = "17",
pages = "1749--1754",
journal = "Information",
issn = "1343-4500",
publisher = "International Information Institute",
number = "5",

}

Woo, HJ, Park, NH, Yang, WS & Lee, WS 2014, 'A data stream cube for OLAP systems', Information (Japan), vol. 17, no. 5, pp. 1749-1754.

A data stream cube for OLAP systems. / Woo, Ho Jin; Park, Nam Hun; Yang, Woo Sock; Lee, Won Suk.

In: Information (Japan), Vol. 17, No. 5, 01.01.2014, p. 1749-1754.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A data stream cube for OLAP systems

AU - Woo, Ho Jin

AU - Park, Nam Hun

AU - Yang, Woo Sock

AU - Lee, Won Suk

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The OLAP has greatly evolved in the areas of database and data warehouse systems for multidimensional data analysis. Especially, the data cube has been successfully applied to multi-dimensional data analysis. Most of emerging applications such as network traffic analysis, web click stream monitoring and sensor data processing deal with an infinite data stream which generates its data elements in a rapid rate. This paper proposed a dynamic cube for efficiently adopting the conventional data cube to a data stream environment. It is impossible to store all produced data in a limited memory space due to the characteristic of the data stream. Consequently, it is better to try to provide meaningful information by utilizing given memory space. The dynamic cube reduces memory usage and processing time not only by employing a user-interesting area but also by managing attribute as groups.

AB - The OLAP has greatly evolved in the areas of database and data warehouse systems for multidimensional data analysis. Especially, the data cube has been successfully applied to multi-dimensional data analysis. Most of emerging applications such as network traffic analysis, web click stream monitoring and sensor data processing deal with an infinite data stream which generates its data elements in a rapid rate. This paper proposed a dynamic cube for efficiently adopting the conventional data cube to a data stream environment. It is impossible to store all produced data in a limited memory space due to the characteristic of the data stream. Consequently, it is better to try to provide meaningful information by utilizing given memory space. The dynamic cube reduces memory usage and processing time not only by employing a user-interesting area but also by managing attribute as groups.

UR - http://www.scopus.com/inward/record.url?scp=84903975834&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84903975834&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84903975834

VL - 17

SP - 1749

EP - 1754

JO - Information

JF - Information

SN - 1343-4500

IS - 5

ER -

Woo HJ, Park NH, Yang WS, Lee WS. A data stream cube for OLAP systems. Information (Japan). 2014 Jan 1;17(5):1749-1754.