Tiangang Li

ORCID: 0009-0003-7582-8128
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About
Contact & Profiles
Research Areas
  • Cloud Computing and Resource Management
  • Manufacturing Process and Optimization
  • Advanced Manufacturing and Logistics Optimization
  • IoT and Edge/Fog Computing
  • Software System Performance and Reliability
  • Network Security and Intrusion Detection
  • Data Stream Mining Techniques
  • Scheduling and Optimization Algorithms

Wuhan University
2023-2024

Tongji University
1992

In cloud computing, how to reasonably allocate computing resources for batch jobs ensure the load balance of dynamic clusters and meet user requests is an important challenging task. Most existing studies are based on deep Q network, which utilizes neural networks estimate expected value cumulative return in scheduling process. The value-based DQN algorithms ignore complete information contained distribution lack strong adaptability time-varying cluster resources. Therefore, capture inherent...

10.1109/tpds.2023.3334519 article EN IEEE Transactions on Parallel and Distributed Systems 2023-11-20
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