Jul 3, 2024 · Choosing the right programming language is vital for building efficient distributed systems. Factors like concurrency, fault tolerance, and performance must be considered. Java, Python, Go, Erlang, and Scala each offer unique strengths.

In order to understand the design decisions behind programming languages and systems for distributed computing, it is necessary to discuss these three problems that make distributed computing unique. In this section, we present an overview of these three problems and their impact on distributed programming models.

Researchers all over the world began designing new programming languages specifically for implementing distributed applications. These languages and their history, their underlying principles, their design, and their use are the subject of this paper.

main characteristics that distinguish distributed programming languages from traditional sequential languages, namely, how they deal with parallelism, communication, and partial failures.

" Programming Distributed Computing Systems fills the long-standing need for a self-contained account of distributed programming that combines presentation of underlying formal semantic models along with the design and use of distributed languages and frameworks based upon them.

May 17, 2013 · The major theories of concurrent computation -- including the p-calculus, the actor model, the join calculus, and mobile ambients -- are explained with a focus on how they help design and reason about distributed and mobile computing systems.

Distributed systems require languages that support concurrency, fault tolerance, efficient communication, and robust networking capabilities. Here are some of the most commonly used programming languages in distributed systems, along with their strengths and typical use cases:

This paper describes an approach to distributed computing at the level of general purpose programming languages. Based on primitive notions of module, message, and transaction key, the methodology is shown to be independent of particular languages and machines.

The major theories of concurrent computation—including the π-calculus, the actor model, the join calculus, and mobile ambients—are explained with a focus on how they help design and reason about distributed and mobile computing systems.

May 31, 2013 · Starting from the premise that understanding the foundations of concurrent programming is key to developing distributed computing systems, this book first presents the fundamental theories of...