ClusterSense-CO: A Large-Scale Cost Optimization Dataset for Energy-Efficient CPU Cluster Operations

The ClusterSense-CO dataset is a large-scale dataset developed to support research on operational cost optimization and energy-efficient resource management in CPU cluster infrastructures. The dataset contains detailed information on resource utilization, power consumption, operational expenses, workload distribution, energy costs, and optimization-related performance metrics. It enables researchers to investigate cost-aware scheduling strategies, energy consumption prediction, resource provisioning techniques, and sustainable computing solutions. The dataset is suitable for developing machine learning and optimization models aimed at reducing operational costs while maintaining high system performance and resource efficiency in modern cluster computing environments.ClusterSense-CO数据集（ClusterSense-CO）是一款专为支撑CPU集群基础设施运维成本优化与节能资源管理领域研究而开发的大规模数据集。该数据集涵盖资源利用率、功耗、运维开支、工作负载分布、能源成本以及优化相关性能指标等详尽信息，可支持研究者开展感知成本的调度策略、能耗预测、资源调配技术以及可持续计算解决方案等方向的探索。本数据集适用于开发机器学习与优化模型，助力在现代集群计算环境中降低运维成本的同时，维持较高的系统性能与资源利用效率。