Update benchmark README

included pointers to more benchmarks

functions/README.md

@@ -1,8 +1,8 @@
-## Example Functions and Applications
+## Benchmark Functions and Applications
 
-We include a number of representative microbenchmarks a applications, which you could use in your studies. All of them have been successfully tested in OpenWhisk.
+We include a number of representative microbenchmarks and applications, which you could use in your studies. All of them have been successfully tested in OpenWhisk.
 
-Here is a list of microbenchmarks:
+### Microbenchmarks
 
 Microbenchmark | Languages Provided
 --- | --- 
@@ -11,12 +11,18 @@ http-endpoint | [NodeJS, Python, Ruby, Swift]
 json | [NodeJS, Python, Ruby] 
 primes | [NodeJS, Python, Ruby, Swift] 
 
-And a list of applications:
+### Applications
 
 Application | Description | Runtime
 --- | --- | ---
 autocomplete | Autocomplete a user string from a corpus | Runtime
 img-resize | Resizes an image to several icons | NodeJS
 markdown | Renders Markdown text to HTML | Python
 ocr-img | Find text in user image using Tesseract OCR | NodeJS + binary
-sentiment | Sentiment analysis of given text | Python
+sentiment | Sentiment analysis of given text | Python
+
+### Looking for **more benchmarks**? 
+
+We refer you to a broader collection of benchmarks that we have gathered for other projects:
+- Five **single-function** AWS Lambda applications used for benchmarking [Parrotfish](https://github.com/ubc-cirrus-lab/parrotfish): https://github.com/ubc-cirrus-lab/parrotfish/tree/master/benchmarks
+- Five serverless **workflows** written for AWS Lambda and GCP Functions used for benchmarking [UnFaaSener](https://github.com/ubc-cirrus-lab/unfaasener): https://github.com/ubc-cirrus-lab/unfaasener/tree/main/benchmarks