Improve worker selection strategies coverage. (#220)

[poolifier.git] / README.md

diff --git a/README.md b/README.md
index bc488843031d72d7e4f6e57f30b50219b029ccd0..96008eb2a9af79f9e01547aaf00ebfaaf0c488ef 100644 (file)
--- a/README.md
+++ b/README.md
@@ -32,7 +32,7 @@ With poolifier you can improve your **performance** and resolve problems related
 Moreover you can execute your tasks using an API designed to improve the **developer experience**.  
 Please consult our guidelines to <a href="#choose-your-pool">choose your pool</a>
 
-- Performance :racehorse: [benchmarks](./benchmarks/README.MD)
+- Performance :racehorse: [benchmarks](./benchmarks/README.md)
 - Security :bank: :cop: [![Security Rating](https://sonarcloud.io/api/project_badges/measure?project=pioardi_poolifier&metric=security_rating)](https://sonarcloud.io/dashboard?id=pioardi_poolifier) [![Vulnerabilities](https://sonarcloud.io/api/project_badges/measure?project=pioardi_poolifier&metric=vulnerabilities)](https://sonarcloud.io/dashboard?id=pioardi_poolifier)
 - Easy to use :couple:
 - Easy switch from a pool to another, easy to tune :heavy_check_mark:
@@ -195,8 +195,8 @@ This method will call the terminate method on each worker.
 ## Choose your pool
 
 Performance is one of the main target of these worker pool implementations, we want to have a strong focus on this.  
-We already have a bench folder where you can find some comparisons.
-**Thread pools** ( FixedThreadPool and DynamicThreadPool ) are suggested to run CPU intensive tasks, you can still run I/O intensive tasks into thread pools, but performance enhancement is expected to be minimal.
+We already have a bench folder where you can find some comparisons.  
+**Thread pools** ( FixedThreadPool and DynamicThreadPool ) are suggested to run CPU intensive tasks, you can still run I/O intensive tasks into thread pools, but performance enhancement is expected to be minimal.  
 Thread pools are built on top of Node.js [worker-threads](https://nodejs.org/api/worker_threads.html#worker_threads_worker_threads) module.
 
 **Cluster pools** (FixedClusterPool and DynamicClusterPool) are suggested to run I/O intensive tasks, again you can still run CPU intensive tasks into cluster pools, but performance enhancement is expected to be minimal.