Disaster recovery with minimum replica plan for reliability checking in multi-cloud

• Main Authors: Alshammari, Mohammad Matar, Aljuboori, Ali A.Alwan, Nordin, Azlin, Abualkishik, Abedallah Zaid
• Format: Conference or Workshop Item
• Language: English; English
• Published: Elsevier 2018
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://irep.iium.edu.my/63565/1/63565_Disaster%20Recovery%20with%20Minimum%20Replica%20Plan.pdf; http://irep.iium.edu.my/63565/7/63565%20Disaster%20Recovery%20with%20Minimum%20Replica%20Plan%20SCOPUS.pdf; http://irep.iium.edu.my/63565/; https://www.sciencedirect.com/science/article/pii/S1877050918303879; https://doi.org/10.1016/j.procs.2018.04.036

The primary uses for cloud computing are to store data and share resources. The cloud has become a dominant and preferred method to store large amounts of data and enable the sharing of that data among several users. It also enables the use of pay-asyou-go pricing models. Today’s cloud computing environment has required data centers to increase the amount of available storage. There are two main concerns with cloud storage: data reliability and cost of storage. This paper discusses the issue of data recovery in case of a disaster in a Multi-Cloud environment. We propose a preventive approach for data backup and recovery aiming at minimizing the number of replicas and ensure high reliability for data before the disaster. The approach named Preventive Disaster Recovery Plan with Minimum Replica (PDRPMR) which is a cost-effective mechanism to reduce the number of replications in the cloud to be 1 or 2-replicas only without compromising the data reliability. The name PDRPMR originates from its preventive action checking of the availability of replicas and monitoring of denial of service attacks to maintain data reliability. Several experiments have been carried out to demonstrate that PDRPMR reduces the amount of storage space used by one third to two-thirds compared to typical 3-replicas replication strategies, which in turn reduces the cost of storage.