School of Engineering and Computer Science Te Kura Mātai Pūkaha, Pūrorohiko

The information about Energy-aware resource allocation will be put here

• Source code of the paper: B. Tan, H. Ma, Y. Mei, M. Zhang: A Cooperative Coevolution Genetic Programming Hyper-Heuristic Approach for On-line Resource Allocation in Container-based Clouds, IEEE Transactions on Cloud Computing (TCC), 2020, doi: 10.1109/TCC.2020.3026338

1. CCGP (https://github.com/maximustann/ContainerAllocationCCGP)
2. Simulator (https://github.com/maximustann/allocationSimulation)
3. Parameter settings & dataset (https://github.com/maximustann/PhDProject),
4. Documentation for how to use them (https://github.com/maximustann/PhDProjectDocumentation)

• Source code of the paper:Wang, Chen, Hui Ma, Gang Chen, Victoria Huang, Yongbo Yu, and Kameron Christopher. "Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming." In International Conference on the Applications of Evolutionary Computation (Part of EvoStar), pp. 539-555. Cham: Springer Nature Switzerland, 2023.

NISA dataset:

Parallel Workloads Archive: NASA Ames iPSC/860 (huji.ac.il)

power consumption data: Standard Performance Evaluation Corporation (SPEC) benchmark repository: https://www.spec.org/cloud_iaas2018/results

benchmark dataset for resouce allocation: ROADEF/EURO Challenge 2012