Main Reference PaperAn efficient cost optimized scheduling for spot instances in heterogeneous cloud environment, Future Generation Computer Systems, 2018 [Java/CloudSim]
  • This project introduces a novel and efficient cost-optimized scheduling algorithm for a Bag of Tasks (BoT) on Virtual Machines (VMs). It employs Artificial Neural Network to forecast the future values of Spot Instances. It validates these predicted values with the current values of Spot Instances. On-demand and Spot are the key instances which are procured by the cloud customers and hence, in this scenario, these instances used for the cost optimization. The key idea of the proposed algorithm is to utilize the cloud resources efficiently and also to optimize the cost of executing the BoT in the heterogeneous Infrastructure as a Service (IaaS) based cloud environment.

Description
  • This project introduces a novel and efficient cost-optimized scheduling algorithm for a Bag of Tasks (BoT) on Virtual Machines (VMs). It employs Artificial Neural Network to forecast the future values of Spot Instances. It validates these predicted values with the current values of Spot Instances. On-demand and Spot are the key instances which are procured by the cloud customers and hence, in this scenario, these instances used for the cost optimization. The key idea of the proposed algorithm is to utilize the cloud resources efficiently and also to optimize the cost of executing the BoT in the heterogeneous Infrastructure as a Service (IaaS) based cloud environment.

  • #To reduce the average response time, execution time and maintains the balanced load on the VMs instances.

Aim & Objectives
  • #To reduce the average response time, execution time and maintains the balanced load on the VMs instances.

  • Improves the execution of the task in heterogeneous cloud infrastructure

Contribution
  • Improves the execution of the task in heterogeneous cloud infrastructure

  • 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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