Types of Distributed Systems

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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.