We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Tree-Based Approach's to Mitigate the Heterogeneity Concerns among Different file Systems: A Possible Solution.
- Authors
Fayaz, Sheikh Amir; Zaman, Majid; Hasan, Iqbal; Bakshi, Waseem Jeelani; Kaul, Sameer
- Abstract
It might be quite difficult to search for words or phrases in the many file formats that are based on various operating systems. To deal with this level of heterogeneity in different file systems, several academics have put up a number of alternative strategies. Given that data is stored in various formats and is controlled by several operating systems, such solutions, however, proved to be extremely time-consuming. The suggested techniques work best when the data is kept in a single source. The idea of bottlenecking and the resulting heterogeneity in file systems are two main issues with looking for a certain collection of data objects (folder, file, or directory) across many platforms (Windows, Linux, and so forth). We made an effort to suggest fundamental searching methods that may deal with the issue of heterogeneity while increasing efficiency and maintaining dependability. Our method makes use of a concept known as tree-based breadth first search (BFS) and depth first search techniques (DFS) to limit to an absolute minimum the amount of I/O operations that might be required in the heterogeneous environment. The experiment was run on Windows and Linux computers, and it was discovered that by using these strategies, the heterogeneity issues may be greatly decreased, leading to some encouraging outcomes.
- Subjects
HETEROGENEITY; ACQUISITION of data
- Publication
Revue d'Intelligence Artificielle, 2023, Vol 37, Issue 1, p231
- ISSN
0992-499X
- Publication type
Article
- DOI
10.18280/ria.370129