Hi, all:
I have tested infinispan in distributed mode in terms of latency of
put(k,v) operation. The own_num is 1 and the key we put/write locates in the
same node as the put operation occurs(In the table,“1+0” represents this
scenario), the results indicates that the latency increases as the size of the
value increases. However the increments seem to be a little “unreasonable” to
me, because the bandwidth of the memory system is quite huge, and the number of
keys (10000) remains the same during the experiment. So, here is the questions:
which operations inside infinspan have strong relatives with the size of value,
and why they costs so much as the size increases?
We have also tested infinispan in the scenario which the key and the
put/write(key,value) operation reside in different nodes(we noted it as “0+1”).
Compared with “1+0”, “0+1” triggers network communications, however, the
network latency is much smaller compared to the performance gas between the two
scenarios. Why this situation happens? For example, with a 25K bytes ping
packet, the RTT is about 0.713ms while performance gas between the two
scenarios is about 8.4ms，what operations inside infinispan used the other 7.6ms?
UDP is utilized as the transport protocol, the infinispan version we
used is 7.0 and there are 4 nodes in the cluster, each has 10000 keys, all of
them have memory bigger than 32G, and all of them have xeon cpu e5-2407 x2.
Value size
250B( us)
2.5K( us)
25k(us)
250k(us)
2.5M(us)
25M(us)
1+0
463
726
3 236
26 560
354 454
3 979 830
0+1
1 807
2 829
11 635
87 540
1 035 133
11 653 389
Thanks!
Best Regards,
JR
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