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Cost-efficient scheduling algorithms based on beetle antennae search for containerized applications in Kubernetes clouds

  • Published:2023-02-05 Issue:9 Volume:79 Page:10300-10334
  • ISSN:0920-8542
  • Container-title:The Journal of Supercomputing
  • language:en
  • Short-container-title:J Supercomput

Author:

Li Hongjian,Shen Jie,Zheng Lei,Cui Yuzheng,Mao Zhi

Funder

Chongqing science and Technology Commission Project

Key Research and Development Projects of Sichuan Science and Technology Department

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Three-Dimensional Obstacle Avoidance Harvesting Path Planning Method for Apple-Harvesting Robot Based on Improved Ant Colony Algorithm;Agriculture;2024-08-10

2. A comprehensive survey of convergence analysis of beetle antennae search algorithm and its applications;Artificial Intelligence Review;2024-05-15

3. CAROKRS: Cost-Aware Resource Optimization Kubernetes Resource Scheduler;2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2024-04-25

4. Cost-aware Service Placement and Scheduling in the Edge-Cloud Continuum;ACM Transactions on Architecture and Code Optimization;2024-03-23

5. Cost-Effective Scheduling for Kubernetes in the Edge-to-Cloud Continuum;2023 IEEE International Conference on Cloud Engineering (IC2E);2023-09-25
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