Ding Ding

Orcid: 0000-0002-4108-3418

Affiliations:
  • Beijing Jiaotong University, Beijing, China


According to our database1, Ding Ding authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
A two-stage preference driven multi-objective evolutionary algorithm for workflow scheduling in the Cloud.
Expert Syst. Appl., March, 2024

Robust QoS Prediction Based on Reputation Integrated Graph Convolution Network.
IEEE Trans. Serv. Comput., 2024

Imitation learning enabled fast and adaptive task scheduling in cloud.
Future Gener. Comput. Syst., 2024

2023
Effects of Motion-Relevant Knowledge From Unlabeled Video to Human-Object Interaction Detection.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Spatial Context-Aware Time-Series Forecasting for QoS Prediction.
IEEE Trans. Netw. Serv. Manag., June, 2023

2022
Adaptive DRL-Based Task Scheduling for Energy-Efficient Cloud Computing.
IEEE Trans. Netw. Serv. Manag., December, 2022

Joint Deep Networks Based Multi-Source Feature Learning for QoS Prediction.
IEEE Trans. Serv. Comput., 2022

Adaptive DRL-Based Virtual Machine Consolidation in Energy-Efficient Cloud Data Center.
IEEE Trans. Parallel Distributed Syst., 2022

2020
Q-learning based dynamic task scheduling for energy-efficient cloud computing.
Future Gener. Comput. Syst., 2020

2019
Adaptive Multi-Threshold Energy-Aware Virtual Machine Consolidation in Cloud Data Center.
Proceedings of the 6th International Conference on Behavioral, 2019

2018
Using NearestGraph QoS Prediction Method for Service Recommendation in the Cloud.
Wirel. Commun. Mob. Comput., 2018

2016
User-oriented cloud resource scheduling with feedback integration.
J. Supercomput., 2016


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