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new 4913cfc Publishing from 6ce93ba68cd48cc6ecff880a6d60bf5d3845c3e5
4913cfc is described below
commit 4913cfc5a3ff80a32fb42837f53e4d72a3e51b61
Author: Patrick Stuedi <pstu...@apache.org>
AuthorDate: Thu Oct 10 11:01:14 2019 +0200
Publishing from 6ce93ba68cd48cc6ecff880a6d60bf5d3845c3e5
---
content/blog/2019/10/ycsb.html | 2 +-
content/feed.xml | 4 ++--
2 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/content/blog/2019/10/ycsb.html b/content/blog/2019/10/ycsb.html
index 7a7777a..10c554d 100644
--- a/content/blog/2019/10/ycsb.html
+++ b/content/blog/2019/10/ycsb.html
@@ -230,7 +230,7 @@ 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>
diff --git a/content/feed.xml b/content/feed.xml
index bf53af9..115ebe8 100644
--- a/content/feed.xml
+++ b/content/feed.xml
@@ -1,4 +1,4 @@
-<?xml version="1.0" encoding="utf-8"?><feed
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/";
version="3.8.5">Jekyll</generator><link
href="http://crail.incubator.apache.org//feed.xml"; rel="self"
type="application/atom+xml" /><link href="http://crail.incubator.apache.org//";
rel="alternate" type="text/html"
/><updated>2019-10-10T10:49:13+02:00</updated><id>http://crail.incubator.apache.org//feed.xml</id><title
type="html">The Apache Crail (Incubating) Project</ti [...]
+<?xml version="1.0" encoding="utf-8"?><feed
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/";
version="3.8.5">Jekyll</generator><link
href="http://crail.incubator.apache.org//feed.xml"; rel="self"
type="application/atom+xml" /><link href="http://crail.incubator.apache.org//";
rel="alternate" type="text/html"
/><updated>2019-10-10T11:01:13+02:00</updated><id>http://crail.incubator.apache.org//feed.xml</id><title
type="html">The Apache Crail (Incubating) Project</ti [...]
<p>
Recently, suppport for Crail has been added to the <a
href="https://github.com/brianfrankcooper/YCSB">YCSB</a>
benchmark suite. In this blog we describe how to run the benchmark and briefly
show some performance comparisons between Crail and other key-value stores
running on DRAM, Flash and Optane such as <a
href="https://www.aerospike.com">Aerospike</a> or <a
href="https://ramcloud.atlassian.net/wiki/spaces/RAM/overview">RAMClo
[...]
</p>
@@ -151,7 +151,7 @@ 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>
