Dr Victoria Huang
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Dr Victoria Huang
Data Scientist
+64-4-386-0465
Qualifications:
<p>PhD (Engineering and Computer Science), Victoria University of Wellington.</p>
Articles:
- Wang, C., Ma, H., Chen, G., Huang, V., Yu, Y. and Christopher, K., 2023, April. Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. In Applications of Evolutionary Computation: 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings (pp. 539-555). Cham: Springer Nature Switzerland.
- Huang, V., Wang, C., Ma, H., Chen, G. and Christopher, K., 2022, November. Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning. In Service-Oriented Computing: 20th International Conference, ICSOC 2022, Seville, Spain, November 29–December 2, 2022, Proceedings (pp. 449-464). Cham: Springer Nature Switzerland.
- Patros, P., Ooi, M., Huang, V., Mayo, M., Anderson, C., Burroughs, S., Baughman, M., Almurshed, O., Rana, O., Chard, R. and Chard, K., 2022. Rural ai: Serverless-powered federated learning for remote applications. IEEE Internet Computing.
- Almurshed, O., Patros, P., Huang, V., Mayo, M., Ooi, M., Chard, R., Chard, K., Rana, O., Nagra, H., Baughman, M. and Foster, I., 2022, July. Adaptive Edge-Cloud Environments for Rural AI. In 2022 IEEE International Conference on Services Computing (SCC) (pp. 74-83). IEEE.
- Yang, Y., Chen, G., Ma, H., Zhang, M. and Huang, V., 2021, June. Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. In 2021 IEEE Congress on Evolutionary Computation (CEC) (pp. 2141-2148). IEEE.
- Huang, V., Chen, G., Zhang, P., Li, H., Hu, C., Pan, T. and Fu, Q., 2020. A scalable approach to SDN control plane management: High utilization comes with low latency. IEEE Transactions on Network and Service Management, 17(2), pp.682-695.
- Huang, V., Chen, G. and Fu, Q., 2019, May. Effective scheduling function design in SDN through deep reinforcement learning. In ICC 2019-2019 IEEE International Conference on Communications (ICC) (pp. 1-7). IEEE.
- Huang, V., Chen, G., Fu, Q. and Wen, E., 2019, April. Optimizing controller placement for software-defined networks. In 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) (pp. 224-232). IEEE.
- Huang, V., Fu, Q., Chen, G., Wen, E. and Hart, J., 2017, October. BLAC: A bindingless architecture for distributed SDN controllers. In 2017 IEEE 42nd Conference on Local Computer Networks (LCN) (pp. 146-154). IEEE.
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