Main Reference PaperDR-Cloud: Multi-Cloud Based Disaster Recovery Service,Tsinghua Science and Technology, February 2014.
  • The data disaster recovery mechanism to protect the highly important data and to minimize the downtime of server fault is in need. Building and running private datacenter for disaster recovery purpose can be quite costly and time consuming. In the proposed model, the DR-Cloud (Disaster Recovery-cloud) utilize multiple data centers from different cloud service providers. Thus, the data disaster recovery is no longer limited to the data centers of one cloud services. By using an appropriate backup data scheduling strategy, can achieve better effect. Customers only need to deal with the DR-Cloud, using very common unified interface. For each task the scheduler will take 3 replicas and using MOPSO(Multi -objective particle swarm optimization) the storage which has low backup and RTO is chosen for backup.

+ Description
  • The data disaster recovery mechanism to protect the highly important data and to minimize the downtime of server fault is in need. Building and running private datacenter for disaster recovery purpose can be quite costly and time consuming. In the proposed model, the DR-Cloud (Disaster Recovery-cloud) utilize multiple data centers from different cloud service providers. Thus, the data disaster recovery is no longer limited to the data centers of one cloud services. By using an appropriate backup data scheduling strategy, can achieve better effect. Customers only need to deal with the DR-Cloud, using very common unified interface. For each task the scheduler will take 3 replicas and using MOPSO(Multi -objective particle swarm optimization) the storage which has low backup and RTO is chosen for backup.

  • To Minimize Recovery Time

  • To Minimize Backup cost.

  • To Maintain High data Reliability.

+ Aim & Objectives
  • To Minimize Recovery Time

  • To Minimize Backup cost.

  • To Maintain High data Reliability.

  • MultipleObjective Ant Colony Optimization – Multi-Objective Ant Colony Optimization scheduling algorithm can be used in DR-Cloud, for scheduling the storage places for placing the replicas of each task. For every new task in Request Buffer, send 3 replicas one by one to the CPE which has the lowest backup cost. If the first and second replicas reside in a same CPE, send the third replica to another CPE with lowest backup cost if possible

+ Contribution
  • MultipleObjective Ant Colony Optimization – Multi-Objective Ant Colony Optimization scheduling algorithm can be used in DR-Cloud, for scheduling the storage places for placing the replicas of each task. For every new task in Request Buffer, send 3 replicas one by one to the CPE which has the lowest backup cost. If the first and second replicas reside in a same CPE, send the third replica to another CPE with lowest backup cost if possible

  • Java JDK 1.8, MySQL

  • Netbeans 8.0.1, J2SE, (Cloudsim).

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL

  • Netbeans 8.0.1, J2SE, (Cloudsim).

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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