| Title | Data Integrity and Recovery Management in Cloud Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Gokulakrishnan, S., Gnanasekar, J.M. |
| Conference Name | 2020 Fourth International Conference on Inventive Systems and Control (ICISC) |
| Keywords | cloud computing, data integrity, data management, Data replication, fault recovery, Fault tolerance, pubcrawl, resilience, Resiliency, Service Level Agreement, System recovery |
| Abstract | Data integrity and recovery management is a more important issue in cloud computing because data is located in everywhere. There is a big challenge in backup recovery and security. It is required to provide an efficient and more reliable system in data storage. In this paper, a new methodology is focused and proposed data recovery and data management to assure high-level scalability and high order reliability to provide fault recognition and fault tolerance cloud-based systems. We propose a methodology of segmenting data and generating tokens for the data split-up by adding the address of the cloud or locations of the cloud storage using the tailing method. Thus the missing segment of any faulty node is easily recognized within a short range of limits and will get the data backup from the neighboring nodes. |
| DOI | 10.1109/ICISC47916.2020.9171066 |
| Citation Key | gokulakrishnan_data_2020 |
Data Integrity and Recovery Management in Cloud Systems