Market Mechanism-Based User-in-the-Loop Scalable Power Oversubscription for HPC Systems
Market Mechanism-Based User-in-the-Loop Scalable Power Oversubscription for HPC Systems
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DOI：
10.1109/hpca56546.2023.10071006
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发表时间：
2023-02
期刊：
影响因子：
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通讯作者：
Md Rajib Hossen;Kishwar Ahmed;M. A. Islam
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文献类型：
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作者：
Md Rajib Hossen;Kishwar Ahmed;M. A. Islam
显著的功耗是当前和未来高性能计算（HPC）系统的主要挑战之一。一直以来，HPC系统通常保持功率利用不足，使其成为应用功率超额订阅以回收未使用容量的绝佳候选者。然而，超额订阅的HPC系统可能偶尔会过载。在本文中，我们提出了MPR（基于市场的功耗降低），一个可扩展的基于市场的方法，用户积极参与降低HPC系统的功耗，以减轻过载。在MPR中，HPC用户出价提供处理过载所需的资源减少，以换取激励。使用几个真实世界的跟踪为基础的模拟，我们广泛评估MPR和显示，通过参与MPR，用户总是得到更多的奖励比性能损失的成本。与此同时，HPC经理享受的资源收益比她对用户的激励回报多出几个数量级。我们还展示了原型系统上的MPR的真实世界的有效性。
Significant power consumption is one of the major challenges for current and future high-performance computing (HPC) systems. All the while, HPC systems generally remain power underutilized, making them a great candidate for applying power oversubscription to reclaim unused capacity. However, an oversubscribed HPC system may occasionally get overloaded. In this paper, we propose MPR (Market-based Power Reduction), a scalable market-based approach where users actively participate in reducing the HPC system’s power consumption to mitigate overloads. In MPR, HPC users bid to supply, in exchange for incentives, the resource reduction required for handling the overloads. Using several real-world trace-based simulations, we extensively evaluate MPR and show that, by participating in MPR, users always receive more rewards than the cost of performance loss. At the same time, the HPC manager enjoys orders of magnitude more resource gain than her incentive payoff to the users. We also demonstrate the real-world effectiveness of MPR on a prototype system.