[incubator-crail-website] branch master updated: Fixing typo in YCSB blog

[ps...@apache.org]

This is an automated email from the ASF dual-hosted git repository.

pstuedi pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-crail-website.git


The following commit(s) were added to refs/heads/master by this push:
     new a4aae52  Fixing typo in YCSB blog
a4aae52 is described below

commit a4aae5212d8c89dc97568a7e00c1892456bda719
Author: Patrick Stuedi <ps...@apache.org>
AuthorDate: Thu Oct 10 11:03:52 2019 +0200

    Fixing typo in YCSB blog
---
 site/_posts/blog/2019-10-09-ycsb.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/site/_posts/blog/2019-10-09-ycsb.md b/site/_posts/blog/2019-10-09-ycsb.md
index ce9a588..b39054c 100644
--- a/site/_posts/blog/2019-10-09-ycsb.md
+++ b/site/_posts/blog/2019-10-09-ycsb.md
@@ -167,7 +167,7 @@ Besides update latency, we are also showing read latency in the CDF figure below
 When measuring the latency performance of a system, what you actually want to see is how the latency is affected as the system gets increasingly loaded. The YCSB benchmark is based on a synchronous database interface for updates and reads which means that in order to create high system load one essentially needs a large number of threads, and, most likely a large number of machines. Crail, on the other hand, does have an asynchronous interface and it is relatively straightforward to mana [...]
 </p>
 <p>
-We used Crail's asynchronous API to benchmark Crail's key-value performance under load. In a first set of experiments, we increase the number of clients from 1 to 64 but each client always only has one outstanding PUT/GET operation in flight. The two figures below show the latency (shown on the y-axis) of Crail's DRAM, Optane and Flash tiers under increasing load measured in terms of operations per second (shown on the x-axis). As can be seen, Crail delivers stable latencies up to a reas [...]
+We used Crail's asynchronous API to benchmark Crail's key-value performance under load. In a first set of experiments, we increase the number of clients from 1 to 64 but each client always only has one outstanding PUT/GET operation in flight. The two figures below show the latency (shown on the y-axis) of Crail's DRAM, Optane and Flash tiers under increasing load measured in terms of operations per second (shown on the x-axis). As can be seen, Crail delivers stable latencies up to a reas [...]
 </p>
 </div>