Distributed System Notes

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Notes are prepared from following references:-

1. Client-server programming. Probably not what you are referring to but it is distributed computing. You probably mean - "massively distributed."

2. Hadoop programming. Distributed computing for big data.

3. Cloud Computing. General purpose distributed computing where computing is viewed as a utility and is elastic.

4. Start out with Tanenbaums book on Distributed Systems. Also clouris's book on Distributed Computing is good. These should give you sufficient background to carry out more detailed study on different aspects of DC.

Martin Kleppman’s book Designing Data Intensive Applications. He did the hard work of reading through a huge amount of distributed systems literature and trying to summarize it in an understandable way. This is a really valuable undertaking as the distributed systems literature is extremely hard to make sense of. This isn’t really because any of the ideas are that difficult but just because the different papers use and misuse a continually evolving set of terms and ideas and many of the commonly referred to papers predate concepts that later became well understood. For along time the field didn’t really have any good text books, and as a result it was less like something like Physics, which has a well understood and well-summarized body of knowledge not tied to the weird happenstance by which the ideas originated, and was more like Philosophy where you have to refer back to the original writings of authors who don’t share terminology or really build on each other in a linear fashion.

I haven’t really loved any other distributed systems book out there. Of the more academic books I’ve read probably Introduction to Reliable and Secure Distributed Programming is probably the best. It is at least competently written and internally consistent.

Generally, these books are fairly annoying, though, as they will introduce terms which aren’t really in common use, and feel it would be beneath them to relate them to the actual world in which we live and work. So they will spend chapters building up different theoretical models for reliable message exchange, but not want to debase themselves by saying what something like TCP is in their terminology. I think this is because many failed mathematicians go into Computer Science, and retain a kind of math envy and consider a particular implementation, even if it is the foundation of the internet, to be too mundane to both considering.

That said, the reason most people needed to learn this kind of stuff was not because they need to build distributed systems but just because they want to use them. Early popular distributed systems were really hard to operate and program against so you ended up needing to learn all this deep stuff just to build a simple app. With the move to cloud, I think a lot of this gets much easier. You can make use of Kafka with something like Confluent Cloud without needing to know how consensus protocols work or how to implement or operate something like Kafka. In the same way you shouldn’t need to know how to build an SSD to write data to a file. I think this is definitely progress!

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