I’m pursuing my PhD degree in HITsz. I’m currently working on Resources and Tasks scheduling in Cloud Computing. I’m currently learning about dynamic workflow scheduling, genetic programming, cloud-fog-edge collaborative computing.

Research Technique or Viewpoint

In the algorithm design of optimal scheduling problem, mining the structure and properties of the problem and exploring the deterministic conditions to avoid invalid search can achieve three purposes:

  • Deterministically optimize the known scheduling solution;
  • Guide the algorithm to search the high-quality solution region;
  • Improve the search efficiency of the algorithm.
Interests
  • Cloud computing
  • Intelligent optimization and scheduling
  • Evolutionary computation, particularly genetic programming
  • Workflow scheduling / Job shop scheduling
  • Heuristic/Meta-Heuristic/Hyper-Heuristic learning/optimisation
Education

Publications

(2024). Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds. IEEE Transactions on Services Computing, 1-16, to be published. [Selected as a Popular Paper in May 2024].

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(2024). Virtual Machine Placement for Minimizing Image Retrieval Cost and Communication Cost in Cloud Data Center. IEEE Transactions on Network and Service Management, 21(2), 1998-2011.

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(2023). Efficient, economical and energy-saving multi-workflow scheduling in hybrid cloud. Expert Systems with Applications, 228, 120401.

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(2023). An Energy-Efficient Scheduling Method for Real-Time Multi-workflow in Container Cloud. in Proceeding of 16th Annual International Conference on Combinatorial Optimization and Applications, 168–181.

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(2023). ET2FA: A Hybrid Heuristic Algorithm for Deadline-Constrained Workflow Scheduling in Cloud. IEEE Transactions on Services Computing, 16(3), 1807–1821. [Selected as a Popular Paper in October 2023].

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(2022). EHEFT-R: multi-objective task scheduling scheme in cloud computing. Complex & Intelligent Systems, 8(6), 4475–4482.

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(2021). T2FA: A Heuristic Algorithm for Deadline-Constrained Workflow Scheduling in Cloud with Multicore Resource. in Proceeding of IEEE 14th International Conference on Cloud Computing, 345–354.

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(2019). Flower Pollination Algorithm Based on Block Structure Properties for Reentrant Job Shop Scheduling Problem. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 55(16), 220–232.

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(2018). Salp swarm algorithm based on blocks on critical path for reentrant job shop scheduling problems. in Proceeding of International Conference on Intelligent Computing, 10954 LNCS, 638–648.

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(2018). Single-machine green scheduling to minimize total flow time and carbon emission. in Proceeding of International Conference on Intelligent Computing, 10954 LNCS, 670–678.

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Contact

  • szx_1010@stu.hit.edu.cn
  • Room L1517, Info-Tech Building, HIT Campus of University Town of Shenzhen, Pingshan 1st Road, Nanshan District, Shengzhen 518055, China.