Title :
A solution of address space overflow for large Multidimensional Arrays
Author :
Ahsan, Sk Md Masudul ; Hasan, K. M Azharul
Author_Institution :
Dept. of Comput. Sci. & Eng., Khulna Univ. of Eng. & Technol. (KUET), Khulna, Bangladesh
Abstract :
We describe a novel implementation scheme of multidimensional array for handling large scale high dimensional datasets. The scheme implements a dynamic multidimensional extendible array employing a set of two dimensional extendible arrays. The multidimensional arrays provide many advantages but it has some problems as well. The Traditional Multidimensional array is not dynamic extendible. Again, if the length of dimension and number of dimension of a multidimensional array is large then the address space for the array overflows soon. In this paper, we propose a solution against the essential problem of address space overflow for handling large scale multidimensional datasets using our implementation model. We evaluate our proposed scheme by comparing with Traditional Multidimensional Array (TMA) for different operations and find a reasonable delay on address space overflow with no significant performance degradation.
Keywords :
data handling; 2D extendible arrays; address space overflow; dimension length; dimension number; dynamic multidimensional extendible array; high dimensional dataset handling; large scale multidimensional dataset handling; performance degradation; traditional multidimensional array; Argon; Vectors; Address space overflow; Dynamic Extension; Extendible Array; Karnaugh Map; MOLAP; Multidimensional Array;
Conference_Titel :
Computer and Information Technology (ICCIT), 2011 14th International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-61284-907-2
DOI :
10.1109/ICCITechn.2011.6164818