I vote Bob's proposal.
Addition to that, provide user a choice to get entire data back.
An example is to study the trend to investigate a problem.
Guobao
Dalesio, Leo wrote:
>
>
> D. Archive/History
> ==================
>
> The archived data points for a given device.
>
> Given as a table of timestamped values, containing a rectangular
> matrix of 5 arrays:
>
> Columns:
> i) the values (double)
> ii) the times as strings "dd-mmm-yyyy hh:mm:ss" (matlab dateform '0',
> suitable for datenum);
> iii) repeat count;
> iv) the times as numeric timestamps in UNIX system time format
> v) the pulse id;
> vi) the count (1 for a scalar and greater than 1 for a waveform--
> count may be used to index into the values array for waveforms to
> extract the waveform values for each sample
> vii) a flag indicating whether the times represent Daylight Savings Time.
>
> For example see [3].
>
>
> -------------------------------------------------
> This sends the entire archive data. The server should be able to
> compress this into a statistical sample. I would propose:
>
> for each sample
> sample start time - in unix gmt (should convert to ascii in the
> client side)
> number of samples
> first value
> last value
> mean
> high
> low
> first standard deviation
> --------------------------------------------------
>
> ------------------------------------------------------------------------
>
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