JNTUK R20 B.Tech CSE 3-1 Distributed Systems Material/ Notes PDF Download

JNTUK R20 B.Tech CSE 3-1 Distributed Systems Material/ Notes PDF Download: Looking for a comprehensive study of the JNTUK R20 B.Tech CSE 3-1 Distributed Systems Material. Look no further! Our materials cover all aspects, ensuring you grasp the foundational concepts and delve into advanced topics like clock synchronization and global state issues. We provide detailed explanations of distributed mutual exclusion and deadlock detection algorithms, making complex subjects easy to understand. Additionally, our resources highlight the importance of agreement protocols, fault tolerance, and recovery mechanisms in Distributed Systems, preparing you for real-world scenarios.

You’ll also learn about the features of peer-to-peer and distributed shared memory systems, gaining valuable insights for your academic and professional journey. Plus, you can conveniently download our materials as PDFs for seamless studying. Start mastering Distributed Systems with our comprehensive resources today!

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JNTUK R20 B.Tech CSE 3-1 Distributed Systems Material – Units

Unit 1 Syllabus PDF Download | JNTUK R20 B.Tech CSE Distributed Systems Material

Distributed Systems: Definition, Relation to computer system components, Motivation, Relation to parallel systems, Message-passing systems versus shared memory systems, Primitives for distributed communication, Synchronous versus asynchronous executions, Design issues, and challenges.

A model of distributed computations: A distributed program, A model of distributed executions, Models of communication networks, Global state, Cuts, Past and future cones of an event, Models of process communications.

Logical Time: A framework for a system of logical clocks, Scalar time, Vector time, and Physical clock synchronization: NTP.

Unit 2 Syllabus PDF Download | JNTUK R20 B.Tech CSE Distributed Systems Material

Message Ordering & Snapshots: Message ordering and group communication: Message ordering paradigms, Asynchronous execution with synchronous communication, Synchronous program order on an asynchronous system, Group communication, Causal order (CO), Total order. Global state and snapshot recording algorithms: Introduction, System model and definitions, Snapshot algorithms for FIFO channels.

Unit 3 Syllabus PDF Download | JNTUK R20 B.Tech CSE Distributed Systems Material

Distributed Mutex & Deadlock: Distributed mutual exclusion algorithms: Introduction – Preliminaries – Lamport‘s algorithm – Ricart-Agrawala algorithm – Maekawa‘s algorithm – Suzuki–Kasami‘s broadcast algorithm. Deadlock detection in distributed systems: Introduction – System model – Preliminaries – Models of deadlocks – Knapp‘s classification – Algorithms for the single resource model, the AND model and the OR model.

Unit 4 Syllabus PDF Download | JNTUK R20 B.Tech CSE Distributed Systems Material

Recovery & Consensus: Check pointing and rollback recovery: Introduction – Background and definitions – Issues in failure recovery – Checkpoint-based recovery – Log-based rollback recovery – A coordinated checkpointing algorithm – Algorithm for asynchronous check pointing and recovery. Consensus and agreement algorithms: Problem definition – Overview of results – Agreement in a failure–free system – Agreement in synchronous systems with failures.

Unit 5 Syllabus PDF Download | JNTUK R20 B.Tech CSE Distributed Systems Material

Peer-to-peer computing and overlay graphs: Introduction – Data indexing and overlays – Chord – Content addressable networks – Tapestry.

Distributed shared memory: Abstraction and advantages – Memory consistency models –Shared memory Mutual Exclusion.

JNTUK R20 B.Tech Distributed Systems Material – Outcomes

• Explain the basics and challenges of distributed systems: Discuss how distributed systems work and the difficulties they face in terms of communication, reliability, and consistency.
• Discuss synchronization problems and global state in distributed systems: Talk about how ensuring synchronization among multiple processes across different machines can be tricky and the importance of maintaining a coherent global state.
• Explain Mutual Exclusion and Deadlock detection in distributed systems: Describe the methods used to ensure that only one process can access a shared resource at a time and how systems detect and handle situations where processes are stuck waiting for each other.
• Discuss agreement protocols and fault tolerance mechanisms: Describe the protocols and techniques used to ensure that distributed systems can reach a consensus despite failures or discrepancies among components, and how fault tolerance mechanisms help systems continue functioning even when parts fail.
• Describe features of peer-to-peer and distributed shared memory systems: Highlight the characteristics of peer-to-peer systems where each node can act as both a client and a server, and distributed shared memory systems where multiple machines share a common memory space, allowing for easier data sharing and access.

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