JNTUK R19 B.Tech CSE 3-2 Distributed Systems Material/ Notes PDF Download

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JNTUK R19 B.Tech CSE 3-2 Distributed Systems Material/ Notes PDF Download: Looking for JNTUK R19 B.Tech CSE 3-2 Distributed Systems Material. Well, you’re in luck! Our resources cover all you need to know about distributed systems. From understanding its basics to tackling advanced algorithms, we’ve got it covered. Learn about clock synchronization and why the global state matters in distributed setups. Discover how mutual exclusion and deadlock detection algorithms keep things running smoothly.

Plus, understand the importance of agreement protocols and fault tolerance mechanisms for reliable performance. And don’t miss out on exploring the unique traits of peer-to-peer and distributed shared memory systems. Get ready to master Distributed Systems with ease!

JNTUK R19 B.Tech CSE 3-2 Distributed Systems Material – Units

Unit 1 Syllabus PDF Download | JNTUK R19 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 R19 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 R19 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 R19 B.Tech CSE Distributed Systems Material

Recovery & Consensus: Checkpointing and rollback recovery: Introduction – Background and definitions – Issues in failure recovery – Checkpoint-based recovery – Log-based rollback recovery – Coordinated checkpointing algorithm – Algorithm for asynchronous checkpointing 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 R19 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 R19 B.Tech Distributed Systems Material – Outcomes

• Explain the fundamental principles and challenges of distributed systems, addressing issues like communication, coordination, and fault tolerance across multiple interconnected nodes.
• Highlight synchronization challenges in distributed systems, discussing issues related to maintaining global state and ensuring consistency among distributed components.
• Discuss Mutual Exclusion and Deadlock detection algorithms specific to distributed systems, emphasizing the importance of ensuring resource access and preventing system deadlock.
• Outline agreement protocols and fault tolerance mechanisms used in distributed systems to ensure reliable operation despite failures or network inconsistencies.
• Describe the characteristics of peer-to-peer systems, emphasizing their decentralized nature and ability to facilitate direct communication and resource sharing among network peers.
• Discuss distributed shared memory systems, highlighting their capability to provide a unified memory space across multiple nodes in a distributed environment, enabling seamless data access and sharing.

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