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https://github.com/plokhotnyuk/actors
Evaluation of API and performance of different actor libraries
https://github.com/plokhotnyuk/actors
actors akka benchmark high-performance lift scala scalaz
Last synced: 10 days ago
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Evaluation of API and performance of different actor libraries
- Host: GitHub
- URL: https://github.com/plokhotnyuk/actors
- Owner: plokhotnyuk
- License: other
- Created: 2012-04-01T09:14:20.000Z (over 12 years ago)
- Default Branch: master
- Last Pushed: 2017-07-12T22:03:28.000Z (over 7 years ago)
- Last Synced: 2024-05-01T20:29:59.193Z (6 months ago)
- Topics: actors, akka, benchmark, high-performance, lift, scala, scalaz
- Language: Scala
- Homepage:
- Size: 8.74 MB
- Stars: 132
- Watchers: 15
- Forks: 16
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
```sh
☆ノノハ
从*’w’)
(つactorsと)
```
Evaluation of API and performance of in-memory messaging for different actor implementations written on Scala:
[Akka](https://github.com/akka/akka/blob/master/akka-actor/src/main/scala/akka/actor/Actor.scala) vs.
[Lift](https://github.com/lift/framework/blob/master/core/actor/src/main/scala/net/liftweb/actor/LiftActor.scala) vs.
[Scala](https://github.com/scala/scala/blob/master/src/actors/scala/actors/Actor.scala) vs.
[Scalaz](https://github.com/scalaz/scalaz/blob/master/core/src/main/scala/scalaz/concurrent/Actor.scala)
This project provides and tests alternative implementations of Minimalist actor and bounded/unbounded mailboxes for Akka:
[Akka](https://github.com/plokhotnyuk/actors/blob/master/src/test/scala/akka/dispatch/Mailboxes.scala) vs.
[Minimalist Scala Actor](https://github.com/plokhotnyuk/actors/blob/master/src/test/scala/com/github/gist/viktorklang/Actor.scala)
also it provides alternative fork-join tasks which increase efficiency of actors and examples of their usage
with Lift, Scala & Scalaz actors.
[](http://travis-ci.org/plokhotnyuk/actors)
[](https://gitter.im/plokhotnyuk/actors?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
## Benchmarks and their goals
* `Enqueueing` - memory footprint of internal actor queue per submitted message and submition throughput in a single thread
* `Dequeueing` - message handling throughput in a single thread
* `Initiation` - memory footprint of minimal actors and initiation time in a single thread
* `Single-producer sending` - throughput of message sending from external thread to an actor
* `Multi-producer sending` - throughput of message sending from several external threads to an actor
* `Max throughput` - throughput of message sending from several external threads to several actors
* `Ping latency` - average latency of sending of a ping message between two actors
* `Ping throughput 10K` - throughput of executor service by sending of a ping message between 10K pairs of actors
* `Overflow throughput` - throughput of overflow handing for bounded version of actors
## Hardware required
- CPU: 2 cores or more
- RAM: 6Gb or greater
## Software installed required
- JDK: 1.8.0_x
- sbt: 0.13.x
## Building & running benchmarks
Before benchmark running check if your CPU works in most performant mode (not a powersave one). Check it on Linux by following command:
`cat /sys/devices/system/cpu/cpu0/cpufreq/scaling_governor`
Use following command-line instructions to build from sources and run benchmarks with Java's ForkJoinPool in FIFO mode:
```sh
sbt clean test &>outX.txt
```
Use `sbtAll.sh` scripts (for Windows: `sbtAll.bat`) to run benchmarks for the following types of executor services:
- `akka-forkjoin-pool` for `akka.dispatch.ForkJoinExecutorConfigurator.AkkaForkJoinPool`
- `java-forkjoin-pool` for `java.util.concurrent.ForkJoinPool`
- `abq-thread-pool` for `java.util.concurrent.ThreadPoolExecutor` with `java.util.concurrent.ArrayBlockingQueue`
- `lbq-thread-pool` for `java.util.concurrent.ThreadPoolExecutor` with `java.util.concurrent.LinkedBlockingQueue`
Recommended values of JVM options which can be set for SBT_OPTS system variables:
```sh
-server -Xms1g -Xmx1g -Xss1m -XX:NewSize=512m -XX:+TieredCompilation -XX:+UseG1GC -XX:+ParallelRefProcEnabled -XX:-UseBiasedLocking -XX:+AlwaysPreTouch
```
## Known issues
1. Benchmark freeze with Java ForkJoinPool baked by 1 thread on 8u40, 8u45, 8u51 and some early 8u60 ea builds, please see details here:
https://bugs.openjdk.java.net/browse/JDK-8078490
W/A is to upgrade to latest Java 8 build (8u60-b27 or above) or to use latest jsr166.jar (link to download http://gee.cs.oswego.edu/dl/jsr166/dist/jsr166.jar)
in working directory with following JVM option to pick it up: `-Xbootclasspath/p:jsr166.jar`
## Test result descriptions
Results of running sbtAll.sh scripts on different environments with pool size (or number of worker threads)
set to number of available processors, 1 or 100 values accordingly:
#### out0.txt
Intel(R) Core(TM) i7-2760QM CPU @ 2.40GHz (max 3.50GHz), RAM 16Gb DDR3-1600, Ubuntu 15.04, Linux 4.4.0-38-generic, Oracle JDK build 1.8.0_112-b15 64-bit