Tao Shi

PhD Student School of Engineering and Computer Science

Tao Shi profile picture

Thesis Info

Research Interests: Cloud computing, reinforcement learning, and evolutionary computation
Thesis Title: Location-aware and Cost-effective Application Placement in Multi-cloud Environment
Supervisor: A/Prof. Hui Ma and Dr. Aaron Chen

 

Publications

Tao Shi, Hui Ma, Gang Chen, and Sven Hartmann, "Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment," IEEE Transactions on Parallel and Distributed Systems, vol. 31, no. 8, pp. 1954–1969, 2020.

Tao Shi, Hui Ma, and Gang Chen, "Divide and conquer: Seeding strategies for multi-objective multi-cloud composite applications deployment," 2020 Genetic and Evolutionary Computation Conference Companion (GECCO), ACM, 2020, 317-318.

Tao Shi, Hui Ma, and Gang Chen, "A Genetic-Based Approach to Location-Aware Cloud Service Brokering in Multi-Cloud Environment," 2019 IEEE International Conference on Services Computing (SCC) , IEEE, 2019, 146-153.

Tao Shi, Hui Ma, and Gang Chen, "A Seeding-based GA for Location-Aware Workflow Deployment in Multi-cloud Environment," 2019 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2019, 3364-3371.

Tao Shi, Hui Ma, and Gang Chen, "Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers," 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2018, 1-8.

Tao Shi, Hui Ma, and Gang Chen, "Multi-objective Container Consolidation in Cloud Data Centers, " 2018 Australasian Joint Conference on Artificial Intelligence (AI 2018), Springer, 2018, 783-795.