- Submit abstract for UMCUR presentation (poster session)
- Finish thin client testing
- Revise end of study questionnaire
- Continue analysis of data
- Calculate metric tons of CO2 based on avg KwH measurements
- Expand data to entire university system
- Figure out how many total workstations there are on the university campus (and what category each falls into).
- Define categories for study group
- Kiosk, Faculty (power user), Data entry
- Combine server and users data to get power output with server
- Will be done using different amount of users on single server
- Based on data collected server runs at same power level no matter how many users are logged in simultaneously
- Create graphs to so each user on different type of workstation
Today I will be working all day to start to make sense of the data that I have collected. I will be creating multiple spreadsheets and updating the calendar to reflect the current status of the data collection. When I make significant progress I will post again with links to the spreadsheets as well as the updated calendar. the end survey should also be completed by the end of the day. I will be more diligent at staying up to date with the blog in the future.
Lance - some good stats. Overall study looks good and seems to reveal some interesting trends. BTW the Thin Clients are awesome!
ReplyDeleteIt looks like we should conduct another measurement of Penny's permanent system to compare with the data collected over the Holiday season in December.
I'm still hung-up on the definition of the Information Worker. Good to see a breakdown or a categorization of users involved in the study. We should look at a hierarchy classification where faculty, staff, and students are all Information Workers. Define the general characteristics for all. Then follow-up with characteristics for each individual subgroup.
Lance - After looking at the server data, I'm wondering if it is possible to determine how many users it can support. It looks like we've been working with a maximum 4-5 concurrent users. How would it handle 10 users? As we extrapolate data for carbon footprint, how we can estimate the per user server data?
ReplyDeleteCan we come up with a simple stress test to see if 10 is reasonable on this modest equipment? What if we set up Performance Monitor on the server and then connected 10 RDP clients where all viewed some sort of continuous simple ppt file for a period of time.
We could conduct a similar experiment with 5 users and 20 users as well.
Just a thought...