Main Reference PaperEnergy-Efficient VM-Placement in Cloud Data Center, Sustainable Computing Informatics & Systems, 2018 [Java/CloudSim].
  • It proposes a mapping algorithm that the tasks are classified according to their resource requirement and then searching for the appropriate VM and again searching for the appropriate PM where the selected VM can be deployed. The proposed algorithm reduces the energy consumption by depreciating the number of active PMs, while also minimizes the makespan and task rejection rate.

Description
  • It proposes a mapping algorithm that the tasks are classified according to their resource requirement and then searching for the appropriate VM and again searching for the appropriate PM where the selected VM can be deployed. The proposed algorithm reduces the energy consumption by depreciating the number of active PMs, while also minimizes the makespan and task rejection rate.

  • To minimize energy consumption, makespan, and task rejection rate.

Aim & Objectives
  • To minimize energy consumption, makespan, and task rejection rate.

  • The resource utilization is also considered to evaluate the system performance.

Contribution
  • The resource utilization is also considered to evaluate the system performance.

  • 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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