Types of Distributed Systems

Duration: 4 min

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Module outline

  1. About the Course: About the Course
  2. Paper-1 & 2 | Basic Numeracy: Ratio and Proportion (Ratios), Divisibility Rules, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Percentage, Average, Mensuration and Geometry, Age Problems, Arithmetic, Statistics, Probability, Profit and Loss, Simple Interest and Compound Interest, Partnership, Speed Mathematics and Basic Mathematics, Algebra, Powers and Exponents (Surds and Indices), Time and Work, Pipe and Cistern, RSSB Specific Videos - Basic Numeracy
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  4. Paper-1 & 2 | General Mental Ability: Mental Ability, RSSB Specific Videos - Mental Ability
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  10. Paper - 2 | Digital Logic Systems: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits
  11. Paper-2 | Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Linux OS, Distributed Systems
  12. Paper-2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Relational Calculus, File Organization & Indexing, Transaction Management, Concurrency Control
  13. Paper-2 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
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  15. Paper 2 | Oops, C++, Java: Language Design, OOPS with C++, Java, .Net Programming, Java Fundamentals
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  18. Paper-2 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Advanced Algorithms
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  22. Paper-2 | Web Development: JavaScript-Basics, HTML Basics, CSS, XML
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AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video presents a lecture on the types of distributed systems, focusing on the distinction between Network Operating Systems and Distributed Operating Systems. The instructor begins by introducing the two categories and then elaborates on their key differences. For Network Operating Systems, the core concept is that users are aware of the multiple machines in the network and must explicitly access resources, such as through remote login (telnet, ssh) or file transfer (FTP). The instructor illustrates this with a diagram showing a user accessing a server. In contrast, Distributed Operating Systems are designed to hide the complexity of multiple machines from the user, making remote resources appear as local. The lecture details two primary mechanisms for this: Data Migration, which involves transferring the entire file or only necessary portions, and Computation Migration, which moves the processing task itself, often using Remote Procedure Calls (RPCs) or messaging systems. The video uses on-screen text and handwritten diagrams to visually reinforce these concepts.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a slide titled "Types of Distributed Systems" listing two categories: "Network Operating Systems" and "Distributed Operating Systems." The instructor begins to explain the first type, Network Operating Systems. On-screen, the instructor writes the command "telnet 162.110.98.02" and the command "ssh" to illustrate remote access. A diagram is drawn to represent a user accessing a server, visually demonstrating the concept of a user explicitly connecting to a remote machine. The instructor explains that in this model, users are aware of the multiplicity of machines and must use specific commands to access them.

  2. 2:00 – 3:59 02:00-03:59

    The video transitions to a new slide titled "Distributed-Operating Systems." The instructor highlights the key difference: "Users not aware of multiplicity of machines." The slide lists two mechanisms for achieving this: "Data Migration" and "Computation Migration." For Data Migration, the instructor explains that data is transferred, either the entire file or only necessary portions. For Computation Migration, the instructor explains that the computation is moved, not the data, and mentions the use of Remote Procedure Calls (RPCs) and messaging systems. The instructor uses the example of a user accessing a Google server, where the user's request is processed by a remote machine, and the result is sent back, making the process appear seamless.

The lecture systematically contrasts two models of distributed computing. It begins by establishing that Network Operating Systems require users to be aware of and explicitly manage multiple machines, using tools like telnet and ssh. This model is characterized by a user-centric approach to resource access. The lecture then pivots to Distributed Operating Systems, which aim to abstract away the underlying complexity. This is achieved through two main strategies: moving data (Data Migration) or moving the processing task itself (Computation Migration). The core synthesis is that the primary goal of a Distributed Operating System is to provide a unified, seamless user experience, making the distributed nature of the system invisible, unlike the more transparent and user-involved Network Operating System model.

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