Can concurrency models be compared in terms of some metrics? In Seven Concurrency Models in Seven Weeks by Butcher, it compares Actor Model and Communicating Sequential Processes (CSP):

CSP is more flexible than actor model:
In actor model, the medium of communication is tightly coupled to the unit of execution: each actor has precisely one mailbox;
In CSP, channels are first class and can be independently created, written to, read from, and passed between tasks.

Nothing stops  CSP  from  supporting distribution  and  fault  tolerance,  but historically  CSP  has not had  the  same  level  of  focus  and  support  of the two as actor model does.

Both actor model and CSP do not directly support parallelism. Parallelism has to be created based on concurrency building blocks.


I was wondering if the two concurrency models can be compared in terms of some metrics (some measurement, quantities, ...) in aspects either mentioned above or not. (Butcher's book doesn't mention such metrics. I also tried  but haven't found it in Varela's Programming Distributed Computing Systems.)
If concurrency models can not be compared in metrics, how can they be compared?
I am looking for some metrics to fit into the comparison between the concurrency models. Also for books, papers and articles for comparing them.
Thanks.
There are no metrics, but an excellent discussion of many concurrency models, in Tony Garnock-Jones PhD thesis. See the (HTML version of the) chapter &quot;Approaches to coordination&quot;. This studies concurrency models with a particular focus, namely how information is exchanged for coordination.