[sugar] 65-node simple mesh test (and counting... ;-)

[Polychronis Ypodimatopoulos]

Michael Stone wrote:
> Data Questions:
>
> * Are the measurements used to make the display of 'distributions of
>   profile arrival rate vs. time' produced from timestamps of profile
>   arrival as recorded by all the laptops or by some smaller set of
>   'sentinels'?
>   

All XOs got synced clocks (by means of a broadcast packet that sets the 
time on all machines, providing a clock skew in the neighborhood of a 
single second). Then, timestamps of profile arrivals were collected from 
all 65 nodes, each reporting arrivals for the other 64 nodes.

> * What was the general nature of the connectivity graph of the 65
>   laptops? Did it change over time?
>   

The nodes are lying in the Garden area of 1CC, and they were 
consistently 1-hop away from all other nodes (full mesh network) all the 
time.

> * Did you take any measurements of background network traffic?
>   

No, but I should have. However, we can all agree that 1CC is relatively 
noisy environment.

> * Do you have any new insight into how the presence of NM (or of
>   software on top of it that depended on it) was killing your
>   interfaces?
>   

My understanding is that the NM is trying its best to make ends meet in 
terms of what the user needs (connect to an AP/XS/mesh ?) and what 
connection is most "reliable" (I assume that an AP is considered more 
"reliable" than the mesh, but I honestly doubt it!). As a result, the NM 
may occasionally make the bold move to move from one connection type to 
another, breaking all existing "connections" (quoted because there are 
no TCP-like connections in my experiments), leaving stale information at 
various points of the software stack (eg. mesh view).

> At any rate, thanks for this good work!
>
> Michael
>
> P.S. - When you produce measurements like these, please include links to
> the raw data.
>   
The raw capture is here:

http://lyme.media.mit.edu/cerebro/capture-1


Pol

-- 
Polychronis Ypodimatopoulos
Graduate student
Viral Communications
MIT Media Lab
Tel: +1 (617) 459-6058
http://www.mit.edu/~ypod/