Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems
Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems
复制标题
联合管理太阳能和电池供电计算机系统中的电能和热能
DOI：
10.1145/3575813.3595191
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Shenoy, Prashant
中科院分区：
文献类型：
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作者：
Bashir, Noman;Chandio, Yasra;Irwin, David;Anwar, Fatima M.;Gummeson, Jeremy;Shenoy, Prashant
环境供电的计算机系统依靠从其环境中收集的可再生能源（例如太阳能或风能）运行，并存储在电池中。虽然长期以来，收集环境能源一直是无法访问外部电源的小型嵌入式系统所必需的，但在为边缘应用设计可持续的大型系统时，它也变得越来越重要。为了持续运行，这种系统在设计和运行时不仅必须考虑电能，而且还必须考虑环境中可用的热能。不幸的是，以前的工作通常忽略了热效应的影响，而是隐含地假设理想温度。为了解决这个问题，我们开发了一个热力学模型，捕捉环境供电的计算机系统中的电能和热能的相互作用。该模型捕捉环境条件，系统的物理属性，和工作负载调度性能的影响。在评估我们的模型时，我们使用小规模原型和可编程孵化器提取影响这些系统的热效应。然后，我们利用我们的模型来展示如何在设计和操作不同规模的环境驱动的计算机系统时考虑这些热效应，从而提高其能效、性能和可用性。
Environmentally-powered computer systems operate on renewable energy harvested from their environment, such as solar or wind, and stored in batteries. While harvesting environmental energy has long been necessary for small-scale embedded systems without access to external power sources, it is also increasingly important in designing sustainable larger-scale systems for edge applications. For sustained operations, such systems must consider not only the electrical energy but also the thermal energy available in the environment in their design and operation. Unfortunately, prior work generally ignores the impact of thermal effects, and instead implicitly assumes ideal temperatures. To address the problem, we develop a thermodynamic model that captures the interplay of electrical and thermal energy in environmentally-powered computer systems. The model captures the effect of environmental conditions, the system’s physical properties, and workload scheduling on performance. In evaluating our model, we distill the thermal effects that impact these systems using a small-scale prototype and a programmable incubator. We then leverage our model to show how considering these thermal effects in designing and operating environmentally-powered computer systems of varying scales can improve their energy-efficiency, performance, and availability.
DOI：
10.1145/3472883.3487009
发表时间：
2021
期刊：
Proceedings of the ACM Symposium on Cloud Computing (SoCC
影响因子：
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作者：
Bashir, Noman;Guo, Tian;Hajiesmaili, Mohammad;Irwin, David;Shenoy, Prashant;Sitaraman, Ramesh;Souza, Abel;Wierman, Adam
通讯作者：
Wierman, Adam
部署永远在线的农场网络的经验
DOI：
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发表时间：
2017
期刊：
GETMBL
影响因子：
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作者：
Zerina Kapetanovic;Deepak Vasisht;Jongho Won;Ranveer Chandra;Mark Kimball
通讯作者：
Mark Kimball
Solar-TK：用于太阳能光伏性能建模和预测的数据驱动工具包
DOI：
10.1109/mass.2019.00060
发表时间：
2019
期刊：
IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems (MASS
影响因子：
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作者：
Bashir, Noman;Chen, Dong;Irwin, David;Shenoy, Prashant
通讯作者：
Shenoy, Prashant