Main Reference PaperA combined forecast-based virtual machine migration in cloud data centers, Computer and Electrical Engineering, 2018 [Java/CloudSim].
  • Server consolidation, load balancing, and fault tolerance are the key factors to improve the performance in the cloud. Server consolidation minimizes the energy utilization by reducing the number of servers running in the cloud. Load balancing distributes load across the servers. VM instances of servers experiencing downtime due to maintenance and failure are migrated. The problem of Inter-VM interference is caused by the migrated virtual machine when it demands more resources due to sudden workload spikes. Hence, a combined forecasting technique has been proposed to predict the behavior of workloads handled by virtual machines. Based on the prediction, the migration is performed using load aware migration technique.

Description
  • Server consolidation, load balancing, and fault tolerance are the key factors to improve the performance in the cloud. Server consolidation minimizes the energy utilization by reducing the number of servers running in the cloud. Load balancing distributes load across the servers. VM instances of servers experiencing downtime due to maintenance and failure are migrated. The problem of Inter-VM interference is caused by the migrated virtual machine when it demands more resources due to sudden workload spikes. Hence, a combined forecasting technique has been proposed to predict the behavior of workloads handled by virtual machines. Based on the prediction, the migration is performed using load aware migration technique.

  • To minimize the number of migrations, energy usage, and the message overhead.

Aim & Objectives
  • To minimize the number of migrations, energy usage, and the message overhead.

  • The effect on the cost by changing the deadline and revising it accordingly.

Contribution
  • The effect on the cost by changing the deadline and revising it accordingly.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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