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ISSN No: 2349-2287 (P) | E-ISSN: 2349-2279 (O) | E-mail: editor@ijiiet.com
Title : A Framework for Cloud Computing Data Backup and Recovery
Author : N.Kamala Vikasini, V.Krishnaveni, N.Saritha
Abstract :
How companies reach their goals may be drastically altered by combining big data with an adaptable cloud platform. A lot of businesses are making the switch to the cloud, but it seems that the trust problem is slowing them down. The elements that influence Trust as a result of Service Satisfaction were examined in this article. Researchers employed the PLS-SEM method to analyze the connection of the variables since the sample was not normally distributed.Cloud advantages, data privacy, service level agreement (SLA), risk management, trust, service satisfaction, and data security are the factors. Qualitative study grounded in theory established relationships between the variables, and further validation of these associations was achieved by quantitative data analysis. According to the quantitative data analysis, trust is influenced by service satisfaction, which in turn is influenced by data security, cloud benefits, reputation, and SLA. Big Data, C