Prof. Maolin Tang

Faculty of Information Technology

Queensland University of Technology, Australia

Email: [email protected]

Qualifications

2000 Ph.D., Edith Cowan University, Australia

1990 M.Sc., Chongqing University, China

1984 B.Sc., Huazhong University of Science and Technology, China

Publications (Selected)

1. Alzahrani, A., & Tang, M. (2024). Energy-Aware Microservice-Based SaaS Deployment in a Cloud Data Center Using Hybrid Particle Swarm Optimization. IEEE Access, 12, 140884–140899.
2. Silva, M. D. R. L., & Tang, M. (2024). A New Framework for Centralized Coordinated Multi-Vehicle Dynamic Routing. IEEE Access, 12, 24243–24253.
3. Li, Wei, & Tang, M. L. (2022). The Performance Optimization of Big Data Processing by Adaptive MapReduce Workflow. IEEE Access, 10, 79004–79020.
4. Alharbi, F., Tian, Y. C., Tang, M. L., et al. (2021). Simultaneous application assignment and virtual machine placement via ant colony optimization for energy-efficient enterprise data centers. Cluster Computing, 24(2), 1255–1275.
5. Ding, Z., Tian, Y. C., Tang, M. L., et al. (2020). Profile-Guided Three-Phase Virtual Resource Management for Energy Efficiency of Data Centers. IEEE Transactions on Industrial Electronics, 67(3), 2460–2468.
6. Alharbi, F., Tian, Y. C., Tang, M. L., et al. (2019). An Ant Colony System for energy-efficient dynamic Virtual Machine Placement in data centers. Expert Systems with Applications, 120, 228–238.
7. Xu, X. Y., Tang, M. L., & Tian, Y. C. (2018). Theoretical Results of QoS-Guaranteed Resource Scaling for Cloud-Based MapReduce. IEEE Transactions on Cloud Computing, 6(3), 879–889.
8. Vasudevan, M., Tian, Y. C., Tang, M. L., et al. (2018). Energy-efficient application assignment in profile-based data center management through a Repairing Genetic Algorithm. Applied Soft Computing, 67, 399–408.
9. Xu, X. Y., Tang, M. L., & Tian, Y. C. (2018). QoS-guaranteed resource provisioning for cloud-based MapReduce in dynamical environments. Future Generation Computer Systems, 78, 18–30.
10. Vasudevan, M., Tian, Y. C., Tang, M. L., et al. (2017). Profile-based dynamic application assignment with a repairing genetic algorithm for greener data centers. Journal of Supercomputing, 73(9), 3977–3998.
11. Vasudevan, M., Tian, Y. C., Tang, M., et al. (2017). Profile-based application assignment for greener and more energy-efficient data centers. Future Generation Computer Systems, 67, 94–108.
12. Xu, X. Y., & Tang, M. L. (2016). A New Approach to the Cloud-Based Heterogeneous MapReduce Placement Problem. IEEE Transactions on Services Computing, 9(6), 862–871.
13. Tang, M. L. (2015). A Memetic Algorithm for the Location-Based Continuously Operating Reference Stations Placement Problem in Network Real-Time Kinematic. IEEE Transactions on Cybernetics, 45(10), 2214–2223.
14. Ansari, K., Feng, Y. M., & Tang, M. L. (2015). A Runtime Integrity Monitoring Framework for Real-Time Relative Positioning Systems Based on GPS and DSRC. IEEE Transactions on Intelligent Transportation Systems, 16(2), 980–992.
15. Tang, M. L., & Pan, S. C. (2015). A Hybrid Genetic Algorithm for the Energy-Efficient Virtual Machine Placement Problem in Data Centers. Neural Processing Letters, 41(2), 211–221.
16. Ai, L. F., Tang, M. L., & Fidge, C. (2011). Partitioning composite web services for decentralized execution using a genetic algorithm. Future Generation Computer Systems, 27(2), 157–172.
17. Zhang, Y. Z., Li, Y. B., Jiang, Y. H., et al. (2008). Three-dimensional reconstructive methods in the visualization of anterolateral thigh flap. Surgical and Radiologic Anatomy, 30(1), 77–81.

Profile Details
https://www.qut.edu.au/about/our-people/academic-profiles/m.tang
https://scholar.google.com/citations?user=uXSP9DIAAAAJ&hl=en
https://www.researchgate.net/profile/Maolin-Tang-3

WOS ResearcherID: I-9882-2012