An Effective Approach for Improving Data Access Time using Intelligent Node Selection Model (INSM) in Cloud Computing Environment
| International Journal of Electrical and Electronics Engineering |
| © 2023 by SSRG - IJEEE Journal |
| Volume 10 Issue 5 |
| Year of Publication : 2023 |
| Authors : K. Rajalakshmi, M. Sambath, Linda Joseph, K. Ramesh, R. Surendiran |
10.14445/23488379/IJEEE-V10I5P116
How to Cite?
K. Rajalakshmi, M. Sambath, Linda Joseph, K. Ramesh, R. Surendiran, "An Effective Approach for Improving Data Access Time using Intelligent Node Selection Model (INSM) in Cloud Computing Environment," SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 5, pp. 174-184, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I5P116
Abstract:
This Cloud environment offers users friendly services that assist them in achieving their professional and personal objectives. Any personal computer or other device with a broadband connection can access the data. The data can be an image file or a document etc. To protect such data from illegal access, proper security measures must be adopted so that the data resides safe and secure in a third party premise. The centremost node always has the lesser possibility of being hacked, leaving the data to be secure aside. Also, the central nodes have improved retrieval time. This study aims to propose an Intelligent Node Selection Model (INSM) comprising centrality measure and choosing the centre most stable nodes with less energy and security cost in the network for placing the data fragments so that the access time gets improved and node failure is significantly reduced. Improving the client success ratio gives the customer a sense of satisfaction. The cost estimation is high as it includes more parameters than the existing one. The different cost estimation at various stages of the Intelligent Node Selection Model (INSM) is compared with the existing node selection mechanism, the Optimal Selection Model. The average cost of node selection is approximately 1.1% higher than the Optimal Selection model as the cost of nodes in the INSM model is incurred for calculating the degree of centrality and node ranking to determine the success probability, security cost and energy cost. Thus, the node access time is better, and the failure of nodes also gets reduced so that the user will have safe access to data. Calculating the degree centrality of all the nodes in a network takes Θ(V2 ) time, and for edges, Θ(E) where V is the vertices and E are the edges.
Keywords:
Centrality measure, Cloud service provider, Degree centrality, Node access time, Node rank, Stable nodes.
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