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Distributed Computing with Go

Distributed Computing with Go

By : V.N. Nikhil Anurag
3.6 (5)
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Distributed Computing with Go

Distributed Computing with Go

3.6 (5)
By: V.N. Nikhil Anurag

Overview of this book

Distributed Computing with Go gives developers with a good idea how basic Go development works the tools to fulfill the true potential of Golang development in a world of concurrent web and cloud applications. Nikhil starts out by setting up a professional Go development environment. Then you’ll learn the basic concepts and practices of Golang concurrent and parallel development. You’ll find out in the new few chapters how to balance resources and data with REST and standard web approaches while keeping concurrency in mind. Most Go applications these days will run in a data center or on the cloud, which is a condition upon which the next chapter depends. There, you’ll expand your skills considerably by writing a distributed document indexing system during the next two chapters. This system has to balance a large corpus of documents with considerable analytical demands. Another use case is the way in which a web application written in Go can be consciously redesigned to take distributed features into account. The chapter is rather interesting for Go developers who have to migrate existing Go applications to computationally and memory-intensive environments. The final chapter relates to the rather onerous task of testing parallel and distributed applications, something that is not usually taught in standard computer science curricula.
Table of Contents (11 chapters)
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Go's runtime scheduler

The Go program, along with the runtime, is managed and executed on multiple OS threads. The runtime uses a scheduler strategy known as M:N scheduler, which will schedule M number of goroutines on N number of OS threads. As a result, whenever we need to run or switch to a different goroutine, the context switching will be fast, and this also enables us to use multiple cores of the CPU for parallel computing.

A solid understanding of Go's runtime and scheduler would be quite interesting and useful, and now would be a good time to look at them in detail.

From the Go scheduler's perspective, there are primarily three entities:

  • Goroutine (G)
  • OS thread or machine (M)
  • Context or processor (P)

Let's look at what they do. We will also be looking the partial struct definitions of these entities to provide a better idea of how scheduling is implemented...

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