I don't suppose you have some centrally managed switch that's a little bit more capable? Maybe even just a partial step up like an inexpensive managed HP procurve? It doesn't have to be a top of the line switch.

If not, can you collect stats in some way from your netgears and graph them? (port stats). If you could do that, you could have historical data to look at immediately before the bottom fell out which would point you at least in the right direction/segment on your network. The traffic stats should converge on a port or set of ports with high traffic. If you have SNMP, even better, because you can discriminate the multicast vs the non-multicast traffic with just a couple of queries and graph it.

Lastly, there's netflow, if your switches support it. You can spend a modest amount on a collector/analyzer and figure out your sources and destinations at the IP address level. If it's not an IP level issue, you might not discover anything, though.


On 7/11/2016 5:34 PM, Gilbert Wilson wrote:
Last week our network was intermittently brought to it’s knees for short 
periods of time because of what appeared to be unicast packet storms. What we 
experienced looked almost exactly like this:

https://supportforums.cisco.com/discussion/12395006/packet-storm-c3750x

Another person who saw the same thing pinpointed it to faulty Apple Thunderbolt 
Displays (which we do have plenty of on our network):

https://discussions.apple.com/thread/6443650?start=0&tstart=0

I’ve tried to search for the garbage hardware addresses in our switch address 
tables, but the results come up blank. I don’t know why it comes up blank, but 
assume it has something to do with the nature/character of the packet storm to 
begin with. For instance, I *think* I read somewhere a long time ago that 
Netgear Smart switches will devolve to dumb hubs if they are spammed with too 
many hardware addresses in a short period of time. If that’s the case, I could 
see that contributing to the problem.

Given the limitations of my Netgear Smart Switches what other tools and 
techniques would you use to try to track down the source of this kind of 
traffic? Any pointers are most appreciated!

Gil
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