ACM SIGMOD Anthology ACM SIGMOD dblp.uni-trier.de

A Dynamic Load Balancing Strategy for Parallel Datacube Computation.

Seigo Muto, Masaru Kitsuregawa: A Dynamic Load Balancing Strategy for Parallel Datacube Computation. DOLAP 1999: 67-72
@inproceedings{DBLP:conf/dolap/MutoK99,
  author    = {Seigo Muto and
               Masaru Kitsuregawa},
  title     = {A Dynamic Load Balancing Strategy for Parallel Datacube Computation},
  booktitle = {DOLAP '99, ACM Second International Workshop on Data Warehousing
               and OLAP, November 6, 1999, Kansas City, Missouri, USA, Proceedings},
  publisher = {ACM},
  year      = {1999},
  pages     = {67-72},
  ee        = {db/conf/dolap/MutoK99.html, http://doi.acm.org/10.1145/319757.319793},
  crossref  = {DBLP:conf/dolap/99},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

In recent years, OLAP technologies have become one of the important applications in the database industry. In particular, the datacube operation proposed in [5] receives strong attention among researchers as a fundamental research topic in the OLAP technologies. The datacube operation requires computation of aggregations on all possible combinations of each dimension attribute. As the number of dimensions increases, it becomes very expensive to compute datacubes, because the required computation cost grows exponentially with the increase of dimensions. Parallelization is very important factor for fast datacube computation. However, we cannot obtain sufficient performance gain in the presence of data skew even if the computation is parallelized. In this paper, we present a dynamic load balancing strategy, which enables us to extract the effectiveness of parallizing datacube computation sufficiently. We perform experiments based on simulations and show that our strategy performs well.

Copyright © 1999 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


ACM SIGMOD Anthology

CDROM Version: Load the CDROM "Volume 2 Issue 4, CIKM, DOLAP, GIS, SIGFIDET, ..." and ... DVD Version: Load ACM SIGMOD Anthology DVD 1" and ... BibTeX

Printed Edition

DOLAP '99, ACM Second International Workshop on Data Warehousing and OLAP, November 6, 1999, Kansas City, Missouri, USA, Proceedings. ACM 1999
Contents BibTeX

Online Edition

Citation Page BibTeX

References

[1]
Sameet Agarwal, Rakesh Agrawal, Prasad Deshpande, Ashish Gupta, Jeffrey F. Naughton, Raghu Ramakrishnan, Sunita Sarawagi: On the Computation of Multidimensional Aggregates. VLDB 1996: 506-521 BibTeX
[2]
Kevin S. Beyer, Raghu Ramakrishnan: Bottom-Up Computation of Sparse and Iceberg CUBEs. SIGMOD Conference 1999: 359-370 BibTeX
[3]
...
[4]
David J. DeWitt, Jeffrey F. Naughton, Donovan A. Schneider, S. Seshadri: Practical Skew Handling in Parallel Joins. VLDB 1992: 27-40 BibTeX
[5]
Jim Gray, Adam Bosworth, Andrew Layman, Hamid Pirahesh: Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total. ICDE 1996: 152-159 BibTeX
[6]
Sanjay Goil, Alok N. Choudhary: High Performance OLAP and Data Mining on Parallel Computers. Data Min. Knowl. Discov. 1(4): 391-417(1997) BibTeX
[7]
Kien A. Hua, Chiang Lee: Handling Data Skew in Multiprocessor Database Computers Using Partition Tuning. VLDB 1991: 525-535 BibTeX
[8]
Venky Harinarayan, Anand Rajaraman, Jeffrey D. Ullman: Implementing Data Cubes Efficiently. SIGMOD Conference 1996: 205-216 BibTeX
[9]
Masaru Kitsuregawa, Yasushi Ogawa: Bucket Spreading Parallel Hash: A New, Robust, Parallel Hash Join Method for Data Skew in the Super Database Computer (SDC). VLDB 1990: 210-221 BibTeX
[10]
Kenneth A. Ross, Divesh Srivastava: Fast Computation of Sparse Datacubes. VLDB 1997: 116-125 BibTeX
[11]
...
[12]
Ambuj Shatdal, Jeffrey F. Naughton: Adaptive Parallel Aggregation Algorithms. SIGMOD Conference 1995: 104-114 BibTeX
[13]
Amit Shukla, Prasad Deshpande, Jeffrey F. Naughton, Karthikeyan Ramasamy: Storage Estimation for Multidimensional Aggregates in the Presence of Hierarchies. VLDB 1996: 522-531 BibTeX
[14]
Christopher B. Walton, Alfred G. Dale, Roy M. Jenevein: A Taxonomy and Performance Model of Data Skew Effects in Parallel Joins. VLDB 1991: 537-548 BibTeX
[15]
Yihong Zhao, Prasad Deshpande, Jeffrey F. Naughton: An Array-Based Algorithm for Simultaneous Multidimensional Aggregates. SIGMOD Conference 1997: 159-170 BibTeX
BibTeX
ACM SIGMOD Anthology - DBLP: [Home | Search: Author, Title | Conferences | Journals]
DOLAP 1999 Proceedings, ACM SIGMOD Anthology: Copyright © by ACM (info@acm.org), Corrections: anthology@acm.org
DBLP: Copyright © by Michael Ley (ley@uni-trier.de), last change: Sat May 16 23:07:21 2009