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Connection Variable
Table: |
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(Includes TCP-KIS
Variables, Geographical Location, Timing Information) |
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(Incorporates variable information from Web100 ) |
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Legend for Tables: |
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Instantaneous |
Instantaneous
values that are appropriate for real time decisions and not for offline
processing such as what ALN right now is expected to do. |
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Cumulative |
These
lines by themselves may not be as interesting as derived values such as
average and deviation |
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RunTimeConfig |
These
are variables that really are interfaces to edit/set other variables. These
are by themselves not very interesting. |
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Debug |
Debug/experimentation-related
variables (may be interesting) |
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WAD |
Variables
used by Work Around Daemon of Web100 to tune variables at run time |
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Sampled |
These
are variables that are sampled at regular intervals. The variables typically
contain sums of values of the other sampled variables. |
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Parameter |
These
are one time settings/exchanges/computed values. These variables are
typically set at startup time. |
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Location |
These
varibles map a ip address to a location (City/country etc.,
latitude/longitude) |
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Time |
These
variables convert the starting time into usable information such as day of
the week, hour etc. The learning network may be able to predict at varying
time and information granularities. |
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Holidays |
These
variables (actually only one is relevant) identify whether the starting time
of the connection falls within a holiday |
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Weather |
Weather information
collected from wunderground. |
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Note1 |
There
is some redundancy in the variables between sheets esp. involving the
non-connection data (in time, location and holidays) |
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Note 2 |
There is a discrepancy between
the documentation (variables specified here/in tcp-kis.txt and the
implemented variables. The implemented variables are a subset and will
probably be supported at a later date |
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ALN Columns: ALN Specific Information necessary for
learning |
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Priority |
Hint on how
important is the prediction of this value is. Low: Utility of this
information for tuning purposes is unclear and/or this information is
difficult to predict. Med: Great if can be done. High: It is important to
predict this value and accurately |
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Condition/Output |
Condition:
Value is used at the beginning of the connection for prediction. Output: This
value should be predicted by the Learning Network |
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Min/Max |
Range
of values for the variable |
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Kernel/Application
Support |
What
is status of support? Variables in the kernel: supported, supported but has a
different name, not supported.
Variables in the application space: Supported, needs more work |
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Nature |
Continuous
- interger range, Discrete - from a set of values, Range of values for the
variable Binary - true/false, enabled/disabled |
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