Zengpeng Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
ConoDL: a deep learning framework for rapid generation and prediction of conotoxins.
J. Comput. Aided Mol. Des., December, 2025

2024
Cold-Start-Aware Cloud-Native Parallel Service Function Chain Caching in Edge-Cloud Network.
IEEE Internet Things J., June, 2024

Energy-efficient reliability-aware offloading for delay-sensitive tasks in collaborative edge computing.
Concurr. Comput. Pract. Exp., June, 2024

Energy-efficient offloading for DNN-based applications in edge-cloud computing: A hybrid chaotic evolutionary approach.
J. Parallel Distributed Comput., May, 2024

Elastic Task Offloading and Resource Allocation Over Hybrid Cloud: A Reinforcement Learning Approach.
IEEE Trans. Netw. Serv. Manag., April, 2024

Adaptive edge service deployment in burst load scenarios using deep reinforcement learning.
J. Supercomput., March, 2024

Handling hierarchy in cloud data centers: A Hyper-Heuristic approach for resource contention and energy-aware Virtual Machine management.
Expert Syst. Appl., 2024

2023
Cost-efficient security-aware scheduling for dependent tasks with endpoint contention in edge computing.
Comput. Commun., November, 2023

Cost-Efficient Fault-Tolerant Workflow Scheduling for Deadline-Constrained Microservice-Based Applications in Clouds.
IEEE Trans. Netw. Serv. Manag., September, 2023

An Energy-Efficient Dynamic Scheduling Method of Deadline-Constrained Workflows in a Cloud Environment.
IEEE Trans. Netw. Serv. Manag., September, 2023

Cost-effective approaches for deadline-constrained workflow scheduling in clouds.
J. Supercomput., May, 2023

2022
Time-cost efficient memory configuration for serverless workflow applications.
Concurr. Comput. Pract. Exp., 2022

Cold-start aware cloud-native service function chain caching in resource-constrained edge: A reinforcement learning approach.
Comput. Commun., 2022


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