An Alternate Switch Selection for Fault Tolerant Load Administration and VM Migration in Fog Enabled Cloud Datacenter
K. Jairam Naik · 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) · 2021
Users of Cloud-fog can access elastic clusters of available Virtual Machines (VM) for their data processing needs. Consumption of lesser hardware by the individuals in additional to the VM technologies was attained by means of introducing Fog-IoT set-up and Cloud-resources employment. A better recapturing of failure renovation services requires VM based infrastructure. Service accuracy for the provider's Virtual Domain Controller (DC) can be achieved through dedicated routing resolution. In case of node failure, it is very difficult to decide which and how-many VM's should be chosen for migration to keeps up the accuracy assurance at the failed node. The selected VM can restrict the number of VM's should be migrated. For decreasing the given cloud-fog resources loads, choosing a single or multiple promising VMs to be migrated may create an issue. An Alternate switch Identification and Fault Tolerant Load Administration (AsI_FTLA) for implementing the Cloud-fog data center infrastructure while VM migration via improved recovery method of Virtual Network (VN) is proposed in this work. A model of linear-integer programming is imposed to study the path traffic that examines every associated numerical factor for selecting the most favorable VM through the best route. The new VM migration is then established by alternative switch identification algorithm and routing is achieved. CloudSim was employed to study the performance of proposed AsI_FTLA system. Simulation results states, there is a considerable improvements in average resource and storage utilization along with throughput, and reduction in total execution time against existing strategies.