Disaster recovery and business continuity for database services in multi-cloud

Cloud database services are used to reduce the cost of storage in information technology fields and provide other benefits such as data accessibility through internet. The single cloud is defined as a group of servers whether one or multiple data centres offered by a single provider. However, moving from single cloud to multi- clouds is reasonable and important for many reasons. The services of single clouds are still subject to outage which affects the availability of the database. In the case of disaster event, the single cloud is subject to data lost partially or fully. The single cloud is predicted to become less popular with customers due to risks of database service availability failure and the possibility of malicious insiders in the single cloud. With Disaster Recovery (DR) in cloud, resources of multiple cloud service providers can be utilized cooperatively by the DR service provider. Therefore, there is a necessity to develop a practical multi-cloud based DR framework with the aim of minimizing backup cost with respect to Recovery Time Objective (RTO) and Recovery Point Objective (RPO) in order to reduce the risk of data loss. The framework attempts to maintain the availability of data by achieving high data reliability, low backup cost, and short recovery and ensure continuity for business before, during and after the disaster incident. This paper aims at proposing a multi- cloud framework maintaining high availability of data before, during and after the disaster occurrence. Besides, ensures the continuity of the database services during and after the disaster

Data backup and recovery with a minimum replica plan in a multi-cloud environment

Cloud computing has become a desirable choice to store and share large amounts of data among several users. The two main concerns with cloud storage are data recovery and cost of storage. This article discusses the issue of data recovery in case of a disaster in a multi-cloud environment. This research proposes a preventive approach for data backup and recovery aiming at minimizing the number of replicas and ensuring high data reliability during disasters. This approach named Preventive Disaster Recovery Plan with Minimum Replica (PDRPMR) aims at reducing the number of replicationsin the cloud without compromising the data reliability. PDRPMR means preventive action checking of the availability of replicas and monitoring of denial ofservice attacksto maintain data reliability. Several experiments were conducted to evaluate the effectiveness of PDRPMR and the results demonstrated that the storage space used one-third to two-thirds compared to typical 3-replicasreplication strategies

Disaster recovery in single-cloud and multi-cloud environments: Issues and challenges

Information Technology (IT) data services provided by cloud providers (CPs) face significant challenges in maintaining services and their continuity during a disaster. The primary concern for data recovery (DR) in the cloud is finding ways to ensure that the process of data backup and recovery is effective in providing high data availability, flexibility, and reliability at a reasonable cost. Numerous data backup solutions have been designed for a single-cloud architecture; however, making a single copy of data may not be sufficient because damage to data may cause irrecoverable loss during a disaster. Other solutions have involved multiple replications on more than one remote cloud provider (Multi-Cloud). Most suggested solutions have proposed obtaining a high level of reliability by producing at least three replicas of the data and either storing all replicas at a single location or distributing them over numerous remote locations. The drawbacks to this approach are high costs, large storage space consumption and (especially in the case of data-intensive cloud-based applications) increased network traffic. In this paper, we discuss the issues raised by DR for both Single-Cloud and MultiCloud environments. We also examine previous studies concerning cloud-based DR to highlight issues that researchers of cloud-based DR have considered to be most important

IT disaster recovery and business continuity based on VMware SRM solution for Kuwait Oil Company (KOC)

The IT center of Kuwait Oil Company (KOC) is one of the largest information centers in the State of Kuwait. It provides many services to KOC departments and other Kuwait oil sector companies (K-Companies). These services need to ensure High Availability (HA) and flexibility in their operations. The aim of this paper is to investigate the impact of the damage that affects the Business Continuity (BC) and data availability during and after disasters. The paper presents a VMware Site Recovery Manager (SRM) as a Disaster Recovery (DR) and BC solution with open-source to ensure HA of IT services at KOC. Moreover, the proposed solution introduces a better understanding of Disaster Recovery Plan (DRP) and Business Continuity Plan (BCP) methodology to enhance the KOC IT center by creating and validating a plan for maintaining continuous business operations before, during, and after disasters and disruptive events

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

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