Abstract
The algorithm develops a single health score for office computers, today just Windows, but we plan to extend this to Apple computers. The score is derived from various parameters, including: CPU Utilization; Memory Utilization; Various Error logs; Disk Problems; and Disk write queue length. It then uses a weighting scheme to balance these parameters and provide an overall health score. By using these parameters, we are not just assessing the theoretical performance of the components of the computer, rather we are using actual performance metrics that are selected to be a more realistic representation of the experience of the person using the computer. This includes compensating for the nature of their use. If there are two identical computers and the user of one places heavy demands on their computer compared with the user of the second computer, the former will have a lower health score. This allows us to provide a 'fit for purpose' score tailored to the assigned user. This is very helpful data to inform the mangers when individual computers need to be replaced. Additionally it provides specific information that can facilitate the fixing of the computer, to extend it's useful lifetime. This presents direct financial savings, time
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- Release Date:
- 2016-08-03
- Project Type:
- Closed Source
- Software Type:
- Scientific
- Programming Languages:
-
Multiple
- Licenses:
-
Other (Commercial or Open-Source): https://www.pnnl.gov/available-technologies
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC05-76RL01830
- Code ID:
- 76673
- Site Accession Number:
- 7089; IPID 30930-E
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Country of Origin:
- United States
Citation Formats
Computer Health Score.
Computer Software.
USDOE.
03 Aug. 2016.
Web.
doi:10.11578/dc.20220718.90.
(2016, August 03).
Computer Health Score.
[Computer software].
https://doi.org/10.11578/dc.20220718.90.
"Computer Health Score." Computer software.
August 03, 2016.
https://doi.org/10.11578/dc.20220718.90.
@misc{
doecode_76673,
title = {Computer Health Score},
author = ,
abstractNote = {The algorithm develops a single health score for office computers, today just Windows, but we plan to extend this to Apple computers. The score is derived from various parameters, including: CPU Utilization; Memory Utilization; Various Error logs; Disk Problems; and Disk write queue length. It then uses a weighting scheme to balance these parameters and provide an overall health score. By using these parameters, we are not just assessing the theoretical performance of the components of the computer, rather we are using actual performance metrics that are selected to be a more realistic representation of the experience of the person using the computer. This includes compensating for the nature of their use. If there are two identical computers and the user of one places heavy demands on their computer compared with the user of the second computer, the former will have a lower health score. This allows us to provide a 'fit for purpose' score tailored to the assigned user. This is very helpful data to inform the mangers when individual computers need to be replaced. Additionally it provides specific information that can facilitate the fixing of the computer, to extend it's useful lifetime. This presents direct financial savings, time savings for users transferring from one computer to the next, and better environmental stewardship.},
doi = {10.11578/dc.20220718.90},
url = {https://doi.org/10.11578/dc.20220718.90},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20220718.90}},
year = {2016},
month = {aug}
}