What is the average time to do a pass when data is read after a period of time?

In summary, the conversation discusses a change in data reading process where only some data is read each pass instead of every data point. The speaker is trying to figure out the average time it takes to do a pass in this new case. They suggest using the average fraction of data B that gets read, multiplying it by the time it takes, and adding the time for A to get the average time per pass. However, they run into a problem when trying to calculate the fraction C, which they eventually solve by using the equation Time = A*M/(M-B).
  • #1
cpscdave
403
120
Hi there,
I'm trying to model how much faster we will be able to pull data from a set of controllers.
I know how long it takes to read a single data point from each controller.
Right now we are reading each and every data point.

The change I would like to model is some of the data isn't read each pass. But instead read after a period of time during that next pass.

So if we have 2 sets of data A and B
Right now each pass reads A and B and takes x seconds

The change will result in
Pass 1: A & B
Pass 2: A
Pass 3: A
... so many seconds elapse:
Pass N: A& B

How do I figure out the average time it takes to do a pass in the second case??

Thanks :)
 
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  • #2
How does that look in time?

"We read A for two seconds, then B for two seconds, then A for two seconds, then A for two seconds,. ..."?
Then all you need is the average fraction B that gets read, multiply by the time it takes, add the time for A and you have your average time per pass.
 
  • #3
Thats what I originally did.
The problem I ran into is when I follow that through:
A: Time to read the data each loop
B: Time to read the data on
C: the fraction of scans where B is read
Time = A + C*B

So now I need to figure out what C is which I figure is Time/M (M is how often to scan the data)
So solving that out I end up with Time = A*M/(M-B)
Which doesn't seem right.
 
  • #4
Looks right to me.
 

Related to What is the average time to do a pass when data is read after a period of time?

1. What does "Average Time to read data" mean?

"Average Time to read data" is a measure of how long it takes to retrieve and process information from a data source. It is typically measured in seconds or milliseconds and can vary depending on factors such as the amount of data, the type of data, and the speed of the data source.

2. How is the average time to read data calculated?

The average time to read data is calculated by dividing the total time it takes to read data by the number of data reads. For example, if it takes 10 seconds to read data 10 times, the average time to read data would be 1 second.

3. Why is the average time to read data important?

The average time to read data is important because it gives an indication of the efficiency and performance of a data source. A lower average time to read data means that data can be retrieved and processed more quickly, which can improve overall productivity and user experience.

4. How can the average time to read data be improved?

The average time to read data can be improved by optimizing the data source, such as by using indexing or caching techniques, and by improving the data retrieval and processing algorithms. Additionally, using faster hardware or increasing network bandwidth can also help improve the average time to read data.

5. Are there any limitations to using the average time to read data as a performance metric?

Yes, there are some limitations to using the average time to read data as a performance metric. For example, it may not accurately reflect the performance of the data source for all types of data or for all users. Additionally, other factors such as network latency or system load can also affect the average time to read data, so it should be used in conjunction with other performance metrics for a more comprehensive analysis.

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