READ ME File For 'Dataset for "Exploring the Effect of Energy Storage Sizing on Intermittent Computing System Performance"'


Dataset DOI: 10.5258/SOTON/D1785 


ReadMe Author: Jie Zhan, University of Southampton [ORCID: 0000-0002-9196-757X] [email: j.zhan@soton.ac.uk]


This dataset supports the publication:

AUTHORS: Jie Zhan, Geoff V. Merrett, Alex S. Weddell

TITLE: Exploring the Effect of Energy Storage Sizing on Intermittent Computing System Performance

JOURNAL: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems


This dataset contains:

'fig1.csv': Data supporting Fig. 1. The relationship between energy storage capacitance and ICS forward progress, for various supply currents.

'fig2.csv': Data supporting Fig. 2. Operating modes of reactive ICSs, and achieved forward progress against supply current.

'fig4.csv': Data supporting Fig. 4. Model validation with experimental and modelled forward progress.

'fig6.csv': Data supporting Fig. 6. Forward progress against energy storage capacitance at different levels of constant supply current.

'fig7.csv': Data supporting Fig. 7. Maximum forward progress improvement by sizing energy storage given a spectrum of supply current (normalized by the minimum capacitance case), with the corresponding maximum and sub-maximum (95% of maximum) capacitance.

'fig8.csv': Data supporting Fig. 8. Impact of RAM usage (linear to restore/save overheads) on sizing energy storage with 0.4mA current supply.

'fig9.csv': Data supporting Fig. 9. Improvement of average forward progress by sizing energy storage given different PV panel areas under real-world energy source conditions.

'fig11.csv': Data supporting Fig. 11. Distribution of interruption periods.

'fig12.csv': Data supporting Fig. 12. Tantalum capacitor volume against capacitance for the six series of capacitors analyzed.

'fig13.csv': Data supporting Fig. 13. The sizing approach trades-off forward progress, capacitor volume, and interruption periods.


Date of data collection: September 2019 - July 2020


Information about geographic location of data collection:  UK


Licence: CC BY 4.0


Related projects:
EPSRC Grant EP/P010164/1
CSC Grant 201706310132


Date that the file was created: March, 2021