The Application of Optimization Algorithms for Workflow Scheduling Based on Cloud Computing IaaS Environment in Industry Multi-Cloud Scenarios

The advancement of cloud computing has enabled workflow scheduling to provide users with more network resources. However, there are some scheduling issues between resource allocation and user needs in workflows in IaaS environments. Based on this, this study adopts a heuristic scheduling model based on deadline and list and constructs a single objective workflow scheduling model based on deadline. Based on fuzzy-dominated sorting, traditional non-dominated sorting is improved to construct a time-cost dual objective workflow scheduling model. Introducing evolutionary algorithms with a reliability index as the scheduling objective, a time-cost reliability three-objective workflow scheduling model is constructed. The results showed that the total execution time of the single objective workflow scheduling model in four standard workflows was 92s, 106s, 113s, and 105s, respectively. The throughput was 144b/s, 138b/s, 140b/s, and 142b/s, respectively, all of which were superior to other models. Compared with other comparative models, the dual objective workflow scheduling model and the three objective workflow scheduling model had higher HV values, less execution time, and better Pareto frontier solutions. This study solves the three objective scheduling problem of time cost reliability in IaaS environment, which has a certain reference value in resource scheduling on cloud platforms.

@article{Li2024,
  title     = {The Application of Optimization Algorithms for Workflow Scheduling Based on Cloud Computing IaaS Environment in Industry Multi-Cloud Scenarios},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {6},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Cunbing Li},
  doi       = {10.14569/IJACSA.2024.01506135},
  url       = {https://doi.org/10.14569/IJACSA.2024.01506135}
}