Improvement and performance analysis on statistical selection algorithms

Citation

Kweh, Yeah Lun and Othman, Mohamed (2006) Improvement and performance analysis on statistical selection algorithms. In: International Conference on Computing and Informatics (ICOCI 2006), 6-8 June 2006, Kuala Lumpur, Malaysia. (pp. 1-6).

Abstract

Over the years, the distributed database has been developed so fast that there's a need to develop an effective selection algorithm for it. Loo and Choi has proposed a statistical selection algorithm with the same objective and run in multicast / broadcast environment that has been proved that it is the best among others in terms of the number of messages needed to complete the searching process. However, this algorithm has a high probability of failure. A few improvements have been done to this original algorithm. This new algorithm is developed based on the simulation of the real multicast environment. Three modifications have been added in the new algorithm to solve the problem. Two performance measures have been conducted for the purpose of performance analysis between original and new algorithm.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/ICOCI.2006.5276489
Publisher:	IEEE
Keywords:	Statistical selection algorithm; Algorithms; Selection algorithm
Depositing User:	Nabilah Mustapa
Date Deposited:	14 Jul 2016 05:49
Last Modified:	14 Jul 2016 05:49
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICOCI.2006.5276489
URI:	http://psasir.upm.edu.my/id/eprint/47695
Statistic Details:	View Download Statistic

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