M. L. Liu, whose full name is Mei-Ling L. Liu, is a Professor of Computer Science at the College of Engineering at California Polytechnic State University (Cal Poly) in San Luis Obispo, California. Her deep experience teaching undergraduate students at Cal Poly for many years directly inspired and shaped the writing of this book. Its clear structure and practical, "hands-on" orientation are a direct reflection of her time in the classroom.

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: These are software components that provide specific functionality (like email or file transfer) across a network .

Without a shared memory or a single central clock, keeping distributed nodes in sync is incredibly challenging.

The book is generally organized into progressive layers, moving from low-level communication mechanisms to high-level architectural patterns.

Choosing between reliable, connection-oriented data streams (TCP) or fast, connectionless packets (UDP). 2. Distributed Objects and Paradigms

To help me tailor more technical information for your needs, could you share (e.g., socket programming, RPC/RMI, consensus algorithms) you are most interested in? Alternatively,L. Liu's textbook. Share public link

– Introduction to Java RMI – Remote interfaces, remote objects, RMI registry

This is precisely why students search for a PDF version: it is the perfect companion for a semester-long course where you need to flip between the "why" (principles) and the "how" (code).

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Whether you are a student starting your first distributed programming project or an instructor building a course, Distributed Computing: Principles and Applications is a title well worth your time. That is the Liu way.

Systems like Apache Cassandra, Amazon DynamoDB, and Google Spanner distribute data globally while managing the complexities of consistency.