Main Reference PaperGenetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds, Computer and Electrical Engineering, 2018 [Java/WorkflowSim].
  • The effect of both Particle Swarm Optimization (PSO) and Genetic-based algorithms (GA) on attempts to optimize workflow scheduling. A security and cost-aware workflow scheduling algorithm is selected to evaluate the performance of the metaheuristics.

Description
  • The effect of both Particle Swarm Optimization (PSO) and Genetic-based algorithms (GA) on attempts to optimize workflow scheduling. A security and cost-aware workflow scheduling algorithm is selected to evaluate the performance of the metaheuristics.

  • To return better workflow scheduling schemes that reduce the cost of execution within a reasonable period of time and is able to comply with the security constraints and deadline.

Aim & Objectives
  • To return better workflow scheduling schemes that reduce the cost of execution within a reasonable period of time and is able to comply with the security constraints and deadline.

  • We will take into consideration of other system models and workflow problems to determine the effectiveness of evoloutionary algorithms.

Contribution
  • We will take into consideration of other system models and workflow problems to determine the effectiveness of evoloutionary algorithms.

  • 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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