Main Reference PaperMulti-Objective Scheduling for Scientific Workflow in Multicloud Environment, Journal of Network & Computer Applications, 2018 [Java/WorkflowSim].
  • A multi-objective scheduling (MOS) algorithm for scientific workflow in multicloud environment is proposed. The MOS algorithm is according to particle swarm optimization (PSO) technology, and the corresponding coding strategy takes both the tasks execution location and tasks order of data transmission into consideration.

Description
  • A multi-objective scheduling (MOS) algorithm for scientific workflow in multicloud environment is proposed. The MOS algorithm is according to particle swarm optimization (PSO) technology, and the corresponding coding strategy takes both the tasks execution location and tasks order of data transmission into consideration.

  • To minimize makespan and cost simultaneously while satisfying the reliability constraint.

Aim & Objectives
  • To minimize makespan and cost simultaneously while satisfying the reliability constraint.

  • The combination of upward and downward rank is considered on task scheduling process.

Contribution
  • The combination of upward and downward rank is considered on task scheduling process.

  • 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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