Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3575813.3595191acmotherconferencesArticle/Chapter ViewAbstractPublication Pagese-energyConference Proceedingsconference-collections
research-article
Public Access

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

Published: 16 June 2023 Publication History

Abstract

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.

References

[1]
2020. Jetson Nano Develper Kit. https://developer.nvidia.com/embedded/jetson-nano-developer-kit.
[2]
Joshua Adkins, Branden Ghena, Neal Jackson, Pat Pannuto, Samuel Rohrer, Bradford Campbell, and Prabal Dutta. 2018. The Signpost Platform for City-Scale Sensing. In 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).
[3]
Anup Agarwal, Jinghan Sun, Shadi Noghabi, Srinivasan Iyengar, Anirudh Badam, Ranveer Chandra, Srinivasan Seshan, and Shivkumar Kalyanaraman. 2021. Redesigning Data Centers for Renewable Energy. In Proceedings of the Twentieth ACM Workshop on Hot Topics in Networks (HotNets).
[4]
Noman Bashir, Dong Chen, David Irwin, and Prashant Shenoy. 2019. Solar-TK: A Data-driven Toolkit for Solar PV Performance Modeling and Forecasting. In IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems (MASS).
[5]
Noman Bashir, Tian Guo, Mohammad Hajiesmaili, David Irwin, Prashant Shenoy, Ramesh Sitaraman, Abel Souza, and Adam Wierman. 2021. Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. In ACM Symposium on Cloud Computing (SoCC).
[6]
Claus Borgnakke and Richard E Sonntag. 2022. Fundamentals of Thermodynamics. John Wiley & Sons.
[7]
Hiroshi Endo, Hiroyoshi Kodama, Hiroyuki Fukuda, Toshio Sugimoto, Takashi Horie, and Masao Kondo. 2013. Effect of Climatic Conditions on Energy Consumption in Direct Fresh-Air Container Data Centers. In International Green Computing Conference Proceedings (IGCC).
[8]
Inigo Goiri, Ryan Beauchea, Kien Le, Thu D. Nguyen, Md. E. Haque, Jordi Guitart, Jordi Torres, and Ricardo Bianchini. 2011. GreenSlot: Scheduling Energy Consumption in Green Datacenters. In ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC).
[9]
Inigo Goiri, William Katsak, Kien Le, Thu D. Nguyen, and Ricardo Bianchini. 2013. Parasol and GreenSwitch: Managing Datacenters Powered by Renewable Energy. In ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).
[10]
Inigo Goiri, Thu D. Nguyen, and Ricardo Bianchini. 2015. CoolAir: Temperature- and Variation-Aware Management for Free-Cooled Datacenters. In ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).
[11]
Rob Guglielmetti, Dan Macumber, and Nicholas Long. 2011. OpenStudio: An Open Source Integrated Analysis Platform. Technical Report. National Renewable Energy Laboratory (NREL).
[12]
Hongpeng Guo, Haotian Gu, Zhe Yang, Xiaoyang Wang, Eun Kyung Lee, Nandhini Chandramoorthy, Tamar Eilam, Deming Chen, and Klara Nahrstedt. 2022. BoFL: Bayesian Optimized Local Training Pace Control for Energy Efficient Federated Learning. In Proceedings of the 23rd ACM/IFIP International Middleware Conference (Middleware).
[13]
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14]
Xiaofan Jiang, Joseph Polastre, and David Culler. 2005. Perpetual Environmentally Powered Sensor Networks. In Fourth International Symposium on Information Processing in Sensor Networks (IPSN).
[15]
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, and Mark Kimball. 2017. Experiences Deploying an Always-on Farm Network. GetMobile: Mobile Computing and Communications 21, 2 (2017).
[16]
William Katsak, Inigo Goiri, Ricardo Bianchini, and Thu Nguyen. 2015. GreenCassandra: Using Renewable Energy in Distributed Structured Storage Systems. In International Conference on Green and Sustainable Computing (IGSC).
[17]
Ákos Lakatos and Ferenc Kalmár. 2013. Investigation of Thickness and Density Dependence of Thermal Conductivity of Expanded Polystyrene Insulation Materials. Materials and structures (2013).
[18]
Justin D Moore, Jeffrey S Chase, Parthasarathy Ranganathan, and Ratnesh K Sharma. 2005. Making Scheduling “Cool”: Temperature-Aware Workload Placement in Data Centers. In USENIX Annual Technical Conference (ATC).
[19]
Michael J Moran, Howard N Shapiro, Daisie D Boettner, and Margaret B Bailey. 2010. Fundamentals of Engineering Thermodynamics. John Wiley & Sons.
[20]
Chulsung Park, Kanishka Lahiri, and Anand Raghunathan. 2005. Battery Discharge Characteristics of Wireless Sensor Nodes: An Experimental Analysis. In Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON).
[21]
Navin Sharma, Sean Barker, David Irwin, and Prashant Shenoy. 2011. Blink: Managing Server Clusters on Intermittent Power. In ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).
[22]
Navin Sharma, Jeremy Gummeson, David Irwin, and Prashant Shenoy. 2010. Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems. In Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).
[23]
Shunpu Tang, Lunyuan Chen, Ke HeJunjuan Xia, Lisheng Fan, and Arumugam Nallanathan. 2021. Computational Intelligence and Deep Learning for Next-Generation Edge-enabled Industrial IoT. arXiv preprint arXiv:2110.14937 (2021).
[24]
Shunpu Tang, Wenqi Zhou, Lunyuan Chen, Lijia Lai, Junjuan Xia, and Liseng Fan. 2021. Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks. Physical Communication (2021).
[25]
Engineering ToolBox. 2003. Air - Thermophysical Properties. Retrieved October 11, 2022 from https://www.engineeringtoolbox.com/air-properties-d_156.html
[26]
Deepak Vasisht, Zerina Kapetanovic, Jong-ho Won, Xinxin Jin, Ranveer Chandra, Ashish Kapoor, Sudipta N Sinha, Madhusudhan Sudarshan, and Sean Stratman. 2017. FarmBeats: An IoT Platform for Data-Driven Agriculture. In USENIX Conference on Networked Systems Design and Implementation (NSDI).
[27]
Christopher M Vigorito, Deepak Ganesan, and Andrew G Barto. 2007. Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks. In Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON).
[28]
XANTREX. Accessed August 2022. XANTREX Lithium-ion Battery Datasheet. https://www.xantrex.com/documents/lithium/.

Cited By

View all
  • (2024)Towards Photovoltaic System Operation by Data-driven Models: System Deployment and New InsightsProceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3671127.3699533(337-340)Online publication date: 29-Oct-2024

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
e-Energy '23: Proceedings of the 14th ACM International Conference on Future Energy Systems
June 2023
545 pages
ISBN:9798400700323
DOI:10.1145/3575813
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2023

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Environmentally-powered computer systems
  2. batteries.
  3. energy-efficiency
  4. performance
  5. thermal effects

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

Conference

e-Energy '23
Sponsor:

Acceptance Rates

Overall Acceptance Rate 160 of 446 submissions, 36%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)96
  • Downloads (Last 6 weeks)12
Reflects downloads up to 21 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Towards Photovoltaic System Operation by Data-driven Models: System Deployment and New InsightsProceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3671127.3699533(337-340)Online publication date: 29-Oct-2024

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media