Compound Functional Unit #238
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This is a great question @atg-abhishek . For me, measuring SCI score is all about how the SCI score and it's component's individual values are going down post the tunings we undertake for either hardware efficiency, energy efficiency and/or carbon awareness. If we take that perspective, then we are interested in how the software is operating and how we are measuring these values. In that context, my stand is that we will never be able to compare SCI values across applications and it will always be contextual. For example a company builds a time reporting web application using Python for it's 50,000 users. The earlier app was running in maybe Visual basic for the same number of users. We can compare the SCI score for the same app across 2 different technology stacks and call out that maybe the Python app is more "green". But we will not be able to compare the SCI score of this time reporting application with "candy crush" app. Why ? Because the context is very different . Then comes the question if we need to bring this context quotient into our SCI formula. My answer would be that it is probably difficult to do that and that we will have to leave it the SCI formula user to be able to decipher the context and figure out the "context" in which to compare SCI scores. @jawache @Henry-WattTime Tagging you as well for thoughts. |
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Based on the case study proposed by @srini1978 and discussed by @jawache in this GDoc, it will be interesting to analyze the implications of having a compound functional unit, something that is not just a single unit (like number of users), but the number of users concurrently who are serviced over a particular time period. E.g. 500 Users over a 1 hour period with 50 concurrent.
The first implication that comes to mind is how difficult it would make comparability when others try to do these calculations. Any other implications that come to mind?
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