Main Reference PaperOn Efficient Resource Use for Scientific Workflows in Clouds,Computer Networks, 2018 [Java/WorkflowSim].
  • 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 optimize resource and cost efficiency on usage of cloud resources.

Aim & Objectives
  • To optimize resource and cost efficiency on usage of cloud resources.

  • The efficient workflow scheduling scheme is considered.

Contribution
  • The efficient workflow scheduling scheme is considered.

  • 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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