Main Reference PaperA hyper-heuristic cost optimization approach for Scientific Workflow Scheduling in cloud computing, Future Generation Computer Systems, 2018 [Java/CloudSim].
  • This project proposes a Completion Time Driven Hyper-Heuristic (CTDHH) approach for cost optimization of Scientific Workflow Scheduling(SWFS) in a cloud environment. The CTDHH approach employs four well-known population-based meta-heuristic algorithms, which act as Low-Level Heuristic (LLH) algorithms. Also, the CTDHH approach enhances the native random selection way of existing hyper-heuristic approaches by incorporating the best-computed workflow completion time to act as a high-level selector to dynamically pick a suitable algorithm from the pool of LLH algorithms after each run.

+ Description
  • This project proposes a Completion Time Driven Hyper-Heuristic (CTDHH) approach for cost optimization of Scientific Workflow Scheduling(SWFS) in a cloud environment. The CTDHH approach employs four well-known population-based meta-heuristic algorithms, which act as Low-Level Heuristic (LLH) algorithms. Also, the CTDHH approach enhances the native random selection way of existing hyper-heuristic approaches by incorporating the best-computed workflow completion time to act as a high-level selector to dynamically pick a suitable algorithm from the pool of LLH algorithms after each run.

  • To optimize the completion time and to achieve the cheapest total computational cost compared with the baseline approaches.

+ Aim & Objectives
  • To optimize the completion time and to achieve the cheapest total computational cost compared with the baseline approaches.

  • Security, load balancing, reliability, and QoS can be considered additionally in finding a more optimal solution by enhancing the selection and approval operators of the hyper-heuristic approaches.

+ Contribution
  • Security, load balancing, reliability, and QoS can be considered additionally in finding a more optimal solution by enhancing the selection and approval operators of the hyper-heuristic approaches.

  • 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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