Main Reference PaperEnergy-Efficient virtual machine selection based on resource ranking and utilization factor approach in cloud computing for IoT, Computer and Electrical Engineering, 2018 [Java/CloudSim].
  • An energy-efficient resource ranking and utilization factor-based virtual machine selection (ERVS) approach is proposed. ERVS encompasses the resource requirement rate for task classification, comprehensive resource balance ranking, processing element cost and the resource utilization square model for migration. It evaluates overloaded and underloaded hosts and types of VM by predicting CPU utilization rate and energy consumption. Based on this, tasks are sorted and VMs are optimally assigned, which enhances the resource utilization rate, reducing the number of live VM migrations.

Description
  • An energy-efficient resource ranking and utilization factor-based virtual machine selection (ERVS) approach is proposed. ERVS encompasses the resource requirement rate for task classification, comprehensive resource balance ranking, processing element cost and the resource utilization square model for migration. It evaluates overloaded and underloaded hosts and types of VM by predicting CPU utilization rate and energy consumption. Based on this, tasks are sorted and VMs are optimally assigned, which enhances the resource utilization rate, reducing the number of live VM migrations.

  • To diminish energy consumption without violation of service level agreements.

Aim & Objectives
  • To diminish energy consumption without violation of service level agreements.

  • We consider to migrate a portion of the application to the cloud using a fog environment for small intended applications, leading to high performance in local execution.

Contribution
  • We consider to migrate a portion of the application to the cloud using a fog environment for small intended applications, leading to high performance in local execution.

  • 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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