An Enhanced Hybrid Approach for Reducing Downtime, Cost and Power Consumption of Live VM Migration
Tania Jaswal, Kiranbir Kaur
Abstract
Tania Jaswal, Kiranbir Kaur
Abstract
The computational work load has been diverted from humans to machines as it has reached to a limit that cannot be handled by humans. Same is the case with the machines. Nowadays cloud is used very commonly which makes the load on the cloud system increase day by day. The cloud uses data centers and with the increase in number of users the load on data centers is increasing. In that case, if the data center goes down then all the data stored on the VMs(Virtual Machine) of that data centre will be lost. In existing system distance based load consideration is absence where as proposed system is based upon it. This paper proposes a technique for offloading the data of a VM to multiple data centers. In the proposed technique, migration will be performed by the use of live VM migration which means that the migration does not required to switch off the devices which is the case in offline migration.
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The computational work load has been diverted from humans to machines as it has reached to a limit that cannot be handled by humans. Same is the case with the machines. Nowadays cloud is used very commonly which makes the load on the cloud system increase day by day. The cloud uses data centers and with the increase in number of users the load on data centers is increasing. In that case, if the data center goes down then all the data stored on the VMs(Virtual Machine) of that data centre will be lost. In existing system distance based load consideration is absence where as proposed system is based upon it. This paper proposes a technique for offloading the data of a VM to multiple data centers. In the proposed technique, migration will be performed by the use of live VM migration which means that the migration does not required to switch off the devices which is the case in offline migration.
Key concepts: Downtime, Live migration, Cloud computing, Data center, Virtual machine, Computer science, Data migration, Power consumption