Main Reference PaperComparing time series with machine learning-based prediction approaches for violation management in cloud SLAs, Future Generation Computer Systems, 2018, [Java].
  • It proposes a new framework in order to obtain the best method for predicting the QoS based on the input and output pattern, CPU, and memory. This approach ranks the different prediction approaches according to its predicting accuracy, and this determines the SLA violations. Using this method, the service providers select the method since the incorrect adoption causes the SLA violation and penalties.

Description
  • It proposes a new framework in order to obtain the best method for predicting the QoS based on the input and output pattern, CPU, and memory. This approach ranks the different prediction approaches according to its predicting accuracy, and this determines the SLA violations. Using this method, the service providers select the method since the incorrect adoption causes the SLA violation and penalties.

  • To test the different the QoS prediction approaches for ranking this approach based on its accuracy in order to give the best result.

  • To help the Cloud provider for choosing the best approach based on the input pattern in order to manage the SLAs and to avoid the SLA violation and its penalties.

Aim & Objectives
  • To test the different the QoS prediction approaches for ranking this approach based on its accuracy in order to give the best result.

  • To help the Cloud provider for choosing the best approach based on the input pattern in order to manage the SLAs and to avoid the SLA violation and its penalties.

  • QoS prediction approaches improve SLA violation and energy consumption also for the green cloud data center.

Contribution
  • QoS prediction approaches improve SLA violation and energy consumption also for the green cloud data center.

  • 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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