Main Reference PaperAn intelligent/cognitive model of task scheduling for IoT applications in cloud computing environment, Future Generation Computer Systems, 2018, [Java/WorkflowSim].
  • A hybrid algorithm GAACO that is the combination of the Genetic Algorithm (GA), and Ant Colony Optimization (ACO) is an Intelligent or Cognitive Model proposed for scheduling the task of the IoT applications. In this project the ACO algorithm finds the optimal solution, and the GA algorithm gives support to refine this solution.

+ Description
  • A hybrid algorithm GAACO that is the combination of the Genetic Algorithm (GA), and Ant Colony Optimization (ACO) is an Intelligent or Cognitive Model proposed for scheduling the task of the IoT applications. In this project the ACO algorithm finds the optimal solution, and the GA algorithm gives support to refine this solution.

  • To minimize the delay with the maintenance of the precedence constraint.

  • To perform an effective task scheduling.

+ Aim & Objectives
  • To minimize the delay with the maintenance of the precedence constraint.

  • To perform an effective task scheduling.

  • The tasks are scheduled for the resources that are balanced, and to satisfy the user demand.

+ Contribution
  • The tasks are scheduled for the resources that are balanced, and to satisfy the user demand.

  • Java Development Kit 1.8.0, MySQL 5.5.40, Cloudsim-4.0 with Extension

  • Netbeans8.0.1, J2SE.

+ Software Tools & Technologies
  • Java Development Kit 1.8.0, MySQL 5.5.40, Cloudsim-4.0 with Extension

  • Netbeans8.0.1, J2SE.

  • 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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