DocumentCode :
151468
Title :
Analytical & empirical analysis of external sorting algorithms
Author :
Malpani, Poonam ; Bassi, Paras
Author_Institution :
Dept. of Comput. Sci., Swami Keshvanand Inst. of Technol., Jaipur, India
fYear :
2014
fDate :
5-6 Sept. 2014
Firstpage :
1
Lastpage :
6
Abstract :
RDBMS, OODBMS & ORDBMS are used in the daily life to hold loads of data. The various systems uses various techniques to retrieve data, one of the important elements in these elements is the sorting. Various sorting techniques have been devised over the years. One of the many popular techniques is External Sorting. This paper is concerned of analyzing and improvising the algorithms in terms of Time and Space complexity. This paper discusses various factors on which time complexity and space complexity of external sorting depends. Results have been incurred using data sets of various sizes that are integer value of size 2 bytes. Also semi-compression and SIMD techniques are applied on the algorithm to generate random testing scenarios.
Keywords :
computational complexity; data compression; parallel processing; relational databases; sorting; OODBMS; ORDBMS; RDBMS; SIMD techniques; empirical analysis; external sorting algorithms; generate random testing; integer value; semicompression techniques; space complexity; time complexity; Arrays; Indexes; Partitioning algorithms; Relational databases; Sorting; Time complexity; Disk Striping; External Sorting; Insertion Sort; Randomized Quick Sort; SIMD; Semi-Compression Technique;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining and Intelligent Computing (ICDMIC), 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4799-4675-4
Type :
conf
DOI :
10.1109/ICDMIC.2014.6954224
Filename :
6954224
Link To Document :
بازگشت