Main Reference PaperAn Energy-Efficient VM Prediction and Migration Framework for Overcommitted Clouds, IEEE Transactions on Cloud Computing, 2018 [Java/Cloudsim]
  • An integrated resource allocation framework that improves resource utilization reduces energy consumption and avoids SLA violations in cloud data centers by predicting future resource utilization of scheduled VMs.

Description
  • An integrated resource allocation framework that improves resource utilization reduces energy consumption and avoids SLA violations in cloud data centers by predicting future resource utilization of scheduled VMs.

  • To save energy significantly by reducing the number of PMs needed to be ON and the migration overheads.

  • To decrease the performance degradation caused by overloads.

Aim & Objectives
  • To save energy significantly by reducing the number of PMs needed to be ON and the migration overheads.

  • To decrease the performance degradation caused by overloads.

  • The resource management techniques are used to allocate VMs for reducing energy consumption.

Contribution
  • The resource management techniques are used to allocate VMs for reducing energy consumption.

  • 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.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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