Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems

被引:0
作者
Bashir, Noman [1 ]
Chandio, Yasra [1 ]
Irwin, David [1 ]
Anwar, Fatima M. [1 ]
Gummeson, Jeremy [1 ]
Shenoy, Prashant [1 ]
机构
[1] Univ Massachusetts, Amherst, MA 01003 USA
来源
PROCEEDINGS OF THE 2023 THE 14TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS, E-ENERGY 2023 | 2023年
关键词
Environmentally-powered computer systems; thermal effects; energy-efficiency; performance; batteries;
D O I
10.1145/3575813.3595191
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:132 / 143
页数:12
相关论文
共 28 条
[1]   The Signpost Platform for City-Scale Sensing [J].
Adkins, Joshua ;
Ghena, Branden ;
Jackson, Neal ;
Pannuto, Pat ;
Rohrer, Samuel ;
Campbell, Bradford ;
Dutta, Prabal .
2018 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN), 2018, :188-199
[2]  
Agarwal Anup, 2021, P 20 ACM WORKSH HOT
[3]  
[Anonymous], 2020, Jetson Nano Develper Kit
[4]   Enabling Sustainable Clouds: The Case for Virtualizing the Energy System [J].
Bashir, Noman ;
Guo, Tian ;
Hajiesmaili, Mohammad ;
Irwin, David ;
Shenoy, Prashant ;
Sitaraman, Ramesh ;
Souza, Abel ;
Wierman, Adam .
PROCEEDINGS OF THE 2021 ACM SYMPOSIUM ON CLOUD COMPUTING (SOCC '21), 2021, :350-358
[5]   Solar-TK: A Data-driven Toolkit for Solar PV Performance Modeling and Forecasting [J].
Bashir, Noman ;
Chen, Dong ;
Irwin, David ;
Shenoy, Prashant .
2019 IEEE 16TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SMART SYSTEMS (MASS 2019), 2019, :456-466
[6]  
Borgnakke C, 2022, Fundamentals of thermodynamics
[7]  
Endo H, 2013, 2013 INTERNATIONAL GREEN COMPUTING CONFERENCE (IGCC)
[8]  
Engineering ToolBox, 2003, Air - Thermophysical Properties
[9]  
Goiri I, 2015, ACM SIGPLAN NOTICES, V50, P253, DOI [10.1145/2694344.2694378, 10.1145/2775054.2694378]
[10]   Parasol and GreenSwitch: Managing Datacenters Powered by Renewable Energy [J].
Goiri, Inigo ;
Katsak, William ;
Le, Kien ;
Nguyen, Thu D. ;
Bianchini, Ricardo .
ACM SIGPLAN NOTICES, 2013, 48 (04) :51-63