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Brown dwarf: a P2P data-warehousing system

Published: 26 October 2010 Publication History

Abstract

In this demonstration we present the Brown Dwarf, a distributed system designed to efficiently store, query and update multidimensional data. Deployed on any number of commodity nodes, our system manages to distribute large volumes of data over network peers on-the-fly and process queries and updates on-line through cooperating nodes that hold parts of a materialized cube. Moreover, it adapts its resources according to demand and hardware failures and is cost-effective both over the required hardware and software components. All the aforementioned functionality will be tested using various datasets and query loads.

References

[1]
S. Abiteboul, T. Allard, P. Chatalic, et al. WebContent: Efficient P2P Warehousing of Web Data. VLDB'08.
[2]
M. Akinde et al. Efficient OLAP Query Processing in Distributed Data Warehouses. Information Systems, 28(1-2):111--135, 2003.
[3]
K. Doka, D. Tsoumakos, and N. Koziris. Brown Dwarf: Distributing the Power of OLAP. In HPDC'10.
[4]
The Brown Dwarf Project. http://cslab.ece.ntua.gr/BrownDwarf
[5]
Y. Sismanis, A. Deligiannakis, N. Roussopoulos, and Y. Kotidis. Dwarf: Shrinking the PetaCube. In SIGMOD'02.
[6]
W. Wang, H. Lu, J. Feng, and J. X. Yu. Condensed Cube: An Effective Approach to Reducing Data Cube Size. In ICDE'02.

Cited By

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  • (2014)Pocket-cubes, bringing multidimensional data views to mobile platforms2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2014.6974481(3555-3560)Online publication date: Oct-2014

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Published In

cover image ACM Conferences
CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge management
October 2010
2036 pages
ISBN:9781450300995
DOI:10.1145/1871437

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2010

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Author Tags

  1. data cube
  2. data warehousing
  3. distributed computing
  4. peer-to-peer

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  • Demonstration

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CIKM '10

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

View all
  • (2014)Pocket-cubes, bringing multidimensional data views to mobile platforms2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2014.6974481(3555-3560)Online publication date: Oct-2014

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