Thread (19 messages) flat view 19 messages, 6 authors, 2016-01-14

Re: [PATCH net-next] hv_netvsc: don't make assumptions on struct flow_keys layout

From: Eric Dumazet <hidden>
Date: 2016-01-14 17:53:18
Also in: lkml

On Wed, 2016-01-13 at 23:10 +0000, Haiyang Zhang wrote:
I have done a comparison of the Toeplitz v.s. Jenkins Hash algorithms, 
and found that the Toeplitz provides much better distribution of the 
connections into send-indirection-table entries. See the data below -- 
showing how many TCP connections are distributed into each of the 
sixteen table entries. The Toeplitz hash distributes the connections 
almost perfectly evenly, but the Jenkins hash distributes them unevenly. 
For example, in case of 64 connections, some entries are 0 or 1, some 
other entries are 8. This could cause too many connections in one VMBus 
channel and slow down the throughput.
So a VMBus channel has a limit of number of flows ? Why is it so ?

What happens with 1000 flows ?
 This is consistent to our test 
which showing slower performance while using the generic skb_get_hash 
(Jenkins) than using Toeplitz hash (see perf numbers below).


#connections:32:
Toeplitz:2,2,2,2,2,1,2,2,2,2,2,3,2,2,2,2,
Jenkins:3,2,2,4,1,1,0,2,1,1,4,3,2,5,1,0,
#connections:64:
Toeplitz:4,4,5,4,4,3,4,4,4,4,4,4,4,4,4,4,
Jenkins:4,5,4,6,3,5,0,6,1,2,8,3,6,8,2,1,
#connections:128:
Toeplitz:8,8,8,8,8,7,9,8,8,8,8,8,8,8,8,8,
Jenkins:8,12,10,9,7,8,3,10,6,8,9,8,10,11,6,3,

Throughput (Gbps) comparison:
#conn		Toeplitz	Jenkins
32		26.6		23.2
64		32.1		23.4
128		29.1		24.1

For long term solution, I think we should put the Toeplitz hash as 
another option to the generic hash function in kernel... But, for the 
time being, can you accept this patch to fix the assumptions on 
struct flow_keys layout?

I find your Toeplitz distribution has an anomaly.

Having 128 connections distributed almost _perfectly_ into 16 buckets is
telling something how the source/destination ports where allocated
maybe, knowing the RSS key or something ?

It looks too _perfect_ to be true.

Here what I get here from 20 runs of 128 sessions using 
prandom_u32() hash, distributed to 16 buckets (hash % 16)

: 6,9,9,6,11,8,9,7,7,7,9,8,8,7,9,8
: 6,9,6,6,6,9,8,5,12,10,7,7,9,7,13,8
: 7,4,9,9,10,9,8,7,15,4,8,8,11,10,2,7
: 12,5,10,6,7,4,10,10,6,5,10,14,8,8,5,8
: 4,8,5,13,7,4,7,9,7,6,6,9,6,11,17,9
: 10,10,8,5,7,4,5,14,6,9,9,7,8,9,7,10
: 6,4,9,10,13,8,8,7,6,5,8,9,7,5,15,8
: 11,13,7,4,8,6,6,9,10,8,8,5,6,6,11,10
: 8,8,11,7,12,13,5,8,9,6,8,10,5,4,9,5
: 13,5,5,4,5,11,8,8,11,8,9,10,10,6,9,6
: 13,6,12,6,6,7,4,9,5,14,9,12,9,4,4,8
: 4,9,10,12,10,4,8,6,8,5,14,10,5,8,8,7
: 7,7,6,6,12,13,8,12,7,6,8,9,6,5,12,4
: 4,12,9,10,2,12,10,13,5,8,4,6,8,10,4,11
: 5,6,10,10,10,9,16,8,8,7,4,10,7,6,6,6
: 9,13,10,11,6,9,4,7,7,9,7,6,9,9,7,5
: 8,7,4,8,6,9,9,8,7,10,8,10,17,7,5,5
: 10,5,10,8,9,5,9,6,12,8,5,8,7,9,7,10
: 8,10,10,7,10,7,13,3,9,5,7,2,10,9,12,6
: 4,6,13,6,6,6,12,9,11,5,7,10,9,8,11,5

This looks more 'random' to me, and _if_ I use Jenkins hash I have the
same distribution.

Sure, it is not 'perfectly spread', but who said that all flows are
sending the same amount of traffic in the real world ?

Using Toeplitz hash is adding a cost of 300 ns per IPV6 packet.

TCP_RR (small RPC) workload would certainly not like to compute Toeplitz
for every packet.

I would like we do not add complexity just to make some benchmark
better.
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