Add a set of basic functions for benchmarks and experiments

[ema-pe]

Currently, three functions (ocr, shasum, and figlet) are deployed on the FaaS platform. We should add more basic functions to allow more experiments and benchmarks, each based on different characteristics (for example, one should be CPU-bound or IO-bound). A subset of these functions should also cover ML-based applications, using some pre-defined models. These functions can be created from scratch, or better yet, we can find a curated set somewhere that we can use.

[ema-pe]

For the WatchEDGE project, we need to deploy a set of functions in the proof-of-concept that involve ML inference on images.