In this chapter, we will show how a server application is different from other applications, what scalability is, and how it is important. We will look at the .NET HTTP API server application framework, learn to use Visual Studio to create load tests, dig into asynchronous I/O details, and review important nuances such as synchronization context. Finally, we will suggest an architectural pattern for a server application to run long operations and remain scalable and performant.
Mastering C# Concurrency
Mastering C# Concurrency
Overview of this book
Starting with the traditional approach to concurrency, you will learn how to write multithreaded concurrent programs and compose ways that won't require locking. You will explore the concepts of parallelism granularity, and fine-grained and coarse-grained parallel tasks by choosing a concurrent program structure and parallelizing the workload optimally. You will also learn how to use task parallel library, cancellations, timeouts, and how to handle errors. You will know how to choose the appropriate data structure for a specific parallel algorithm to achieve scalability and performance. Further, you'll learn about server scalability, asynchronous I/O, and thread pools, and write responsive traditional Windows and Windows Store applications.
By the end of the book, you will be able to diagnose and resolve typical problems that could happen in multithreaded applications.
Table of Contents (17 chapters)
Mastering C# Concurrency
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Traditional Concurrency
Lock-Free Concurrency
Understanding Parallelism Granularity
Task Parallel Library in Depth
C# Language Support for Asynchrony
Using Concurrent Data Structures
Leveraging Parallel Patterns
Server-side Asynchrony
Concurrency in the User Interface
Troubleshooting Parallel Programs
Index
Customer Reviews