Optimizing Multi Storage Parallel Backup for Real Time Database Systems

Real time databases are processing millions and billions of records on daily basis. Processing and taking backups of those real time databases are highly expensive. Traditional backup methods are progressively more difficult to back up huge volume of data’s. To overcome this issue, in previous work we addressed the difficulties of the issues and provided a solution for compressing the real time database systems using HIRAC algorithm. Present research focusing on optimal multi storage parallel backup (MSPB) for real time database systems by using Parallel Multithreaded Pipeline (PMP) Algorithm to store compressed database at multiple devices in parallel. PMP allows backups to be written to multiple devices in parallel. Using multiple devices can increase throughput in proportion to the number of devices used.