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DISTRIBUTED SYSTEMS (CST-019) UTU

Distributed systems are networks of independent computers that work together to provide services, ensuring consistency, scalability, and fault tolerance.

3.0

(1)

45 Enrolled

40 hours

Neha

Level Intermediate
Total Enrolled 45
Duration 40 hours
Last Updated January 16, 2025
Certificate Certificate of completion

About Course

Unit 1- Distributed Environment:

Introduction, Limitations, Remote Procedure Call, Remote Object Invocation, Message-Oriented Communication, Unicasting, Multicasting and Broadcasting, Group Communication.

Unit 2-Distributed Operating Systems:

Issues in Distributed Operating Systems, Threads in Distributed Systems, Clock Synchronization, Causal Ordering, Global States, Election Algorithms, Distributed Mutual Exclusion, Distributed Deadlock, Agreement Protocols

Unit 3- Distributed Resource Management:

Distributed Shared Memory, Data-Centric Consistency Models, Client-Centric Consistency Models, Distributed File Systems, Sun NFS.

Unit 4- Distributed Transaction Processing:

Transactions, Nested Transactions, Locks, Optimistic Concurrency Control, Timestamp Ordering, Comparison, Flat and Nested Distributed Transactions, atomic commit protocols, Concurrency Control in Distributed Transactions, Distributed Deadlocks, Transaction Recovery, and an Overview of Replication and Distributed Multimedia Systems.

Unit 5- Fault Tolerance and Consensus:

Introduction to Fault Tolerance, Distributed Commit Protocols, Byzantine Fault Tolerance, Impossibilities in Fault Tolerance.

Textbooks and Research Papers: Foundational texts and recent studies on distributed systems concepts and technologies.
Lecture Notes and Slides: Detailed presentations covering key topics, principles, and examples.
Hands-On Labs: Practical exercises and projects for implementing and testing distributed systems.
Case Studies: Real-world examples and analyses of distributed systems in various applications and industries.
Software Tools: Access to simulation tools and frameworks used for developing and managing distributed systems.

Prerequisite Knowledge: Understanding of basic computer science concepts, including algorithms, data structures, and networking fundamentals.
Programming Skills: Proficiency in relevant programming languages such as Java, Python, or C++.
Mathematical Foundations: Basic knowledge of discrete mathematics, particularly graph theory and probability.
Software and Tools: Familiarity with tools and environments used for building and testing distributed systems, such as Docker, Kubernetes, or cloud platforms.
Active Participation: Engagement in lectures, discussions, and hands-on labs to grasp theoretical concepts and practical applications.
Assignments and Projects: Completion of coursework, including individual or group projects to design, implement, and analyze distributed systems.

Course Content

Unit 1- Distributed Environment:

Introduction of Distributed System.
How a Distributed System Works?
Characteristics of Distributed Systems
Types of Distributed Systems
Advantages and disadvantages of Distributive System
Limitations
Remote Procedure Call
Working of Remote Procedure Call (RPC)
RPC Stubs Overview
Implementation of RPC
Remote Object Invocation
Message-Oriented Communication(MOC)
How Message-Oriented Communication Works?
Characteristics of Message-Oriented Communication(MOC)
Unicasting
Multicasting
Broadcasting
Comparison of Uni-cast, multi-cast and broadcast
Group Communication

Unit 2-Distributed Operating Systems:

Issues in Distributed Operating Systems
Threads in Distributed Systems
Clock Synchronization
Clock Synchronization Algorithms and Techniques
Causal Ordering
Global States
Challenges and Applications: Global states
Election Algorithms
Distributed Mutual Exclusion
Algorithms for Distributed Mutual Exclusion
Distributed Deadlock
Deadlock Handling Approaches
Agreement Protocols

Unit 3- Distributed Resource Management:
Distributed resource management focuses on efficiently managing resources (e.g., memory, files, data) across multiple nodes in a distributed system. It ensures consistency, fault tolerance, and optimal utilization of shared resources.

Unit 4- Distributed Transaction Processing:

Transactions
Types of Distributed Transactions
Nested Transactions
Locks
Optimistic Concurrency Control
Advantages of Optimistic Concurrency Control
Disadvantages of Optimistic Concurrency Control
Timestamp Ordering
Key Concepts of Timestamp Ordering
Phases of Timestamp Ordering
Advantages of Timestamp Ordering
Disdvantages of Timestamp Ordering
Flat and Nested Distributed Transactions
Atomic Commit Protocols
Concurrency Control in Distributed Transactions
Distributed Deadlocks
Transaction Recovery
Overview of Replication and Distributed Multimedia Systems

Unit 5- Fault Tolerance and Consensus:

Instructors

Neha

4.5

140 Students

9 Courses

RajKumar

Front End Developer🧑‍💻.

4.4

85 Students

10 Courses

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Ojha Darshana

2 months ago

Good content, But only unit 1 is available!!!

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DISTRIBUTED SYSTEMS (CST-019) UTU

About Course

What Will You Learn?

Material Includes

Requirements

Audience

Course Content

Unit 1- Distributed Environment:

Introduction of Distributed System.

How a Distributed System Works?

Characteristics of Distributed Systems

Types of Distributed Systems

Advantages and disadvantages of Distributive System

Limitations

Remote Procedure Call

Working of Remote Procedure Call (RPC)

RPC Stubs Overview

Implementation of RPC

Remote Object Invocation

Message-Oriented Communication(MOC)

How Message-Oriented Communication Works?

Characteristics of Message-Oriented Communication(MOC)

Unicasting

Multicasting

Broadcasting

Comparison of Uni-cast, multi-cast and broadcast

Group Communication

Unit 2-Distributed Operating Systems:

Issues in Distributed Operating Systems

Threads in Distributed Systems

Clock Synchronization

Clock Synchronization Algorithms and Techniques

Causal Ordering

Global States

Challenges and Applications: Global states

Election Algorithms

Distributed Mutual Exclusion

Algorithms for Distributed Mutual Exclusion

Distributed Deadlock

Deadlock Handling Approaches

Agreement Protocols

Unit 3- Distributed Resource Management: Distributed resource management focuses on efficiently managing resources (e.g., memory, files, data) across multiple nodes in a distributed system. It ensures consistency, fault tolerance, and optimal utilization of shared resources.

Distributed Shared Memory

Data-Centric Consistency Models

Client-Centric Consistency Models

Distributed File Systems

Sun NFS

Unit 4- Distributed Transaction Processing:

Transactions

Types of Distributed Transactions

Nested Transactions

Locks

Optimistic Concurrency Control

Advantages of Optimistic Concurrency Control

Disadvantages of Optimistic Concurrency Control

Timestamp Ordering

Key Concepts of Timestamp Ordering

Phases of Timestamp Ordering

Advantages of Timestamp Ordering

Disdvantages of Timestamp Ordering

Flat and Nested Distributed Transactions

Atomic Commit Protocols

Concurrency Control in Distributed Transactions

Distributed Deadlocks

Transaction Recovery

Overview of Replication and Distributed Multimedia Systems

Unit 5- Fault Tolerance and Consensus:

Introduction to Fault Tolerance

Phases of Fault Tolerance

Distributed Commit Protocols

Byzantine Fault Tolerance

Impossibilities in Fault Tolerance

Instructors

Unit 3- Distributed Resource Management:
Distributed resource management focuses on efficiently managing resources (e.g., memory, files, data) across multiple nodes in a distributed system. It ensures consistency, fault tolerance, and optimal utilization of shared resources.