Main Reference PaperA Hybrid Multi-Objective Particle Swarm Optimization for Scientific Workflow Scheduling, Parallel Computing Systems and Applications, 2017[Java/WorkflowSim].
  • This project presents a non-dominance sort based Hybrid Particle Swarm Optimization (HPSO) algorithm to handle the workflow scheduling problem with multiple conflicting objective functions on IaaS clouds. The HPSO heuristic tries to optimize two conflicting objectives, namely, makespan and cost under the deadline and budget constraints. Along with these two conflicting objectives, energy consumed of created workflow schedule is also minimized. The proposed algorithm gives a set of Pareto Optimal solutions from which the user can choose the best solution. The performance of the proposed heuristic is compared with state-of-art multi-objective meta-heuristics like NSGA-II, MOPSO, and ε-FDPSO.

+ Description
  • This project presents a non-dominance sort based Hybrid Particle Swarm Optimization (HPSO) algorithm to handle the workflow scheduling problem with multiple conflicting objective functions on IaaS clouds. The HPSO heuristic tries to optimize two conflicting objectives, namely, makespan and cost under the deadline and budget constraints. Along with these two conflicting objectives, energy consumed of created workflow schedule is also minimized. The proposed algorithm gives a set of Pareto Optimal solutions from which the user can choose the best solution. The performance of the proposed heuristic is compared with state-of-art multi-objective meta-heuristics like NSGA-II, MOPSO, and ε-FDPSO.

  • To minimize the execution time and processing cost with deadline constraints.

+ Aim & Objectives
  • To minimize the execution time and processing cost with deadline constraints.

  • The other quality of service constraints like reliability, trust management, VM migration for further lowering the energy consumption is considered.

+ Contribution
  • The other quality of service constraints like reliability, trust management, VM migration for further lowering the energy consumption is considered.

  • 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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