A Secured Database Monitoring Method to Improve Data Backup and Recovery Operations in Cloud Computing

TLDR

In many companies, unregistered database functions boost performance but hinder recovery, leading to queue‑induced data loss, downtime, and potential bankruptcy, and existing backup systems often fail to meet SLA restoration times. The study proposes a secured database monitoring method to enhance backup and recovery in cloud computing. The method monitors database activity and adjusts backup speed proportionally to data volume, assuming at least 30 % annual growth. In practice, data volumes have doubled or more over 3–4 years while backup speed remained constant, indicating that SLA terms and recovery objectives must be doubled to keep pace.

Abstract

In general, the company sometimes uses unregistered functions in database, which significantly improves performance, but does not leave the possibility of recovery except for backup. That is, actions must be performed immediately after passing the session. A queue problem is likely to cause data loss and downtime of about a week. In modern conditions, this can lead to the bankruptcy of the company. It can be seen that backup systems have been installed and configured, but despite this, they have not succeeded in restoring within the time frame specified in the SLA. In this study, a secured database monitoring method was proposed to improve data backup and recovery operations in cloud computing. In this proposed method, the backup speed is directly proportional to the amount of data, while having at least 30% annual data growth. In 3–4 years, the data at least doubled, but for some companies, this number is even higher, while the backup speed does not change. Those terms and those SLAs that were relevant 3–4 years ago now need to be at least doubled. At the same time, business requirements for data recovery (recovery point objective/recovery time objective) continue to grow