Best Book to Follow on Distributed Computing System

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Here are some of the best and most recommended books to follow for learning Distributed Computing Systems, whether you’re a beginner or an advanced learner:

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📚 Top Books on Distributed Computing Systems

🔹 1. Distributed Systems: Concepts and Design

By: George Coulouris, Jean Dollimore, Tim Kindberg, Gordon Blair
Level: Intermediate to Advanced
Why It’s Great:

• Covers theory + practical applications

• Topics like clock sync, RPC, distributed file systems, etc.

• Good real-world examples & diagrams

📘 Recommended for: GATE, BTech, MTech, and system engineers

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🔹 2. Distributed Systems: Principles and Paradigms

By: Andrew S. Tanenbaum and Maarten Van Steen
Level: Beginner to Intermediate
Why It’s Great:

• Covers the core concepts in simple language

• Good focus on middleware, consistency models, and case studies

• Includes real-life systems like GFS, MapReduce

📘 Highly readable and exam-oriented

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🔹 3. Designing Data-Intensive Applications

By: Martin Kleppmann
Level: Intermediate to Advanced
Why It’s Great:

• Focuses on modern distributed data systems: Kafka, Cassandra, etc.

• Topics: fault tolerance, scalability, consistency, replication

• Very practical and software-engineering friendly

📘 Must-read for software developers & backend engineers

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🔹 4. Distributed Operating Systems

By: Pradeep K. Sinha
Level: Beginner to Intermediate
Why It’s Great:

• Especially good for Indian students & GATE aspirants

• Covers basics, algorithms, file systems, synchronization

• Easy explanations with university-oriented problems

📘 Classic Indian textbook

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🔹 5. The Art of Multiprocessor Programming

By: Maurice Herlihy and Nir Shavit
Level: Advanced
Why It’s Great:

• Focus on concurrency, threads, and synchronization

• Ideal for advanced learners & researchers

📘 Best for theoretical foundation & coding parallel algorithms

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✅ Recommended Study Plan:

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Designing Distributed Systems

Best Book to Follow on Distributed Computing System

Distributed Computing: Principles, Algorithms, and Systems