碳感知的绿色云数据中心能源优化在线算法

Carbon-Aware Power Optimal Online Algorithm for Green Cloud Data Center

  • 摘要: 使用绿色能源的云数据中心需要满足服务水平协议(service layer agreement,SLA)和长期平均碳排放约束下的能源成本最小化问题,针对该问题,本文进行了深入研究和分析。通过将问题形式化为受约束的随机优化问题,利用Lyapunov优化理论,提出一个不需要预测未来数据的碳感知能源成本优化在线算法,并进一步证明该在线算法可以获得接近离线最优算法的次优解。基于真实数据的仿真实验结果表明:该算法比基准算法具有更好的性能,并且能通过调整控制参数接近离线的最优解。

     

    Abstract: A deep insight into the problem of energy cost optimization for cloud data center using green energy under constraints of satisfying SLA and long-term average carbon emissions. By formulating the problem into a constrained stochastic optimization problem, a carbon-aware energy cost optimal online algorithm based on Lyapunov optimization theory is proposed which can work without any future information. Furthermore, it is proved that this online algorithm can achieve the close-to-minimum solution compared to the offline optimal algorithm. Results of simulation based on real world data trace show that this algorithm has better performance than benchmark algorithm and can achieve offline optimal solution with tuning control parameters.

     

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