Disaster recovery in cloud computing: a survey <s> Geographical Redundancy and Backup (GRB) <s> A System Architecture [SA] plays the leading role in ICT based organization. It covers the entire organization and helps to achieve the mission of organization. As other architectures, it also has set of components and the relationship (connectors) among the components. It has pre-defined life cycle that determines the duration of the system in which it should provide the services continuously. It means system should survive throughout its defined life time. Unfortunately, a system comes across to many hurdles during its life time. In this paper, we propose the reliable approach in recovering from disaster. We analysis the current state of art in disaster recovery and propose the new approach on it. We use cloud computing as a tool in managing the disaster in the system of organization. We analysis our proposed approach with Markov Model. The required attributes for a system to address disaster recovery like availability, survivability, unavailability and downtime are calculated at the end of this paper. <s> BIB001 </s> Disaster recovery in cloud computing: a survey <s> Geographical Redundancy and Backup (GRB) <s> Enterprise data backup is always a mission critical as well as resource straining operation. In the light of recent surge in near peta-byte databases universities are particularly searching for scalable solutions. Most world universities today are cluster connected via advanced research and education networks-known as RENs. This creates an excellent opportunity to build scalable distributed data-backup and recovery solutions by using each other's facilities. In this paper we present a network study for a distributed data-backup system which uses cloud like virtualization for almost indestructible data backup. <s> BIB002
Although geographical redundancy can be used in traditional model, but it is expensive and unaffordable. In BIB001 , two cloud zones have a replication of each other. If one zone becomes down, then another zone will be on and provide the services. There is a module that monitors the zones to detect disaster. Primary zone has an active load balancer to request extra resources or even released unused resources. Second zone also has a passive load balancer. Another research BIB002 has been proposed a method to select optimal locations for multiple backup. The number of places is decided based on the nature of application and priority of services. Distance and bandwidth are two factors to choose the best sites in this method. However, this work neglects some critical factors such as the capacity of mirror sites and the number of node sources which can be hosted in each location.