Main Reference PaperProfile-based power-aware workflow scheduling framework for energy-efficient data centers, Future Generation Computer Systems, 2019, [Java/WorkflowSim].
  • The scheduler algorithm in the power-aware framework is proposed for the scheduling the workflow task within the less energy consumption in order to detect the cost of the workflow task executing in the particular data center. This framework optimizes the energy consumption, workload in the resource, cost while placing the VM.

Description
  • The scheduler algorithm in the power-aware framework is proposed for the scheduling the workflow task within the less energy consumption in order to detect the cost of the workflow task executing in the particular data center. This framework optimizes the energy consumption, workload in the resource, cost while placing the VM.

  • To minimize power consumption while executing the workflow task.

  • To increase the rate of the idle physical machine.

Aim & Objectives
  • To minimize power consumption while executing the workflow task.

  • To increase the rate of the idle physical machine.

  • Both the storage and the network are necessary to improve the performance along with the scalability.

Contribution
  • Both the storage and the network are necessary to improve the performance along with the scalability.

  • 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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