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Questions and Answers

What is a distributed system?

A distributed system is a collection of autonomous computing elements that appears to its users as a single coherent system.

What are the characteristic features of a distributed system?

A distributed system consists of autonomous computing elements, also referred to as nodes, which can be either hardware devices or software processes. Furthermore, the distributed system must act as a single coherent system to users, meaning that users perceive the system as a whole, and the nodes must collaborate to achieve this coherent behavior.

What are the implications of autonomous nodes in a distributed system?

  • Allows for more efficient resource utilization as compared to centralized systems.
  • Nodes function independently and have their own notion of time, making time synchronization a challenge. (correct)
  • Improved fault tolerance as a failure of any node does not impact the entire system.
  • Efficient management of group, membership, and identification of authorized communication participants. (correct)
  • All of the above.
  • A, B, and D only. (correct)
  • What is an overlay network in the context of a distributed system?

    <p>An overlay network describes how nodes in a distributed system communicate with each other. Each node only interacts with a subset of other nodes—its neighbors—and the set of neighbors can be dynamic or implicitly defined through lookups.</p> Signup and view all the answers

    What are the two main types of overlay networks?

    <p>Structured and Unstructured (D)</p> Signup and view all the answers

    What is the key concept behind a coherent system in the context of distributed systems?

    <p>A coherent system ensures that the collection of nodes within a distributed system functions as a whole, regardless of the individual locations or times involved in user interactions.</p> Signup and view all the answers

    Which of the following are examples of distribution transparency?

    <p>All of the above. (D)</p> Signup and view all the answers

    What is middleware and what is its role in a distributed system?

    <p>Middleware is an essential layer in a distributed system that provides commonly used components and functionalities to applications, making the distributed system operate as a single coherent system. It acts as an intermediary between applications and individual operating systems (OS), providing a unified interface and abstracting away the underlying complexity.</p> Signup and view all the answers

    What are the key objectives that middleware aims to achieve?

    <p>All of the above. (E)</p> Signup and view all the answers

    What is the significance of the statement 'the network is the computer'?

    <p>This statement highlights how distributed systems have moved beyond the traditional model of a single, centralized computer to a highly interconnected network where the network itself is the primary resource and computing platform.</p> Signup and view all the answers

    Which of the following are canonical examples of distributed systems that share resources?

    <p>All of the above (E)</p> Signup and view all the answers

    What are the different types of distribution transparency?

    <p>All of the above (H)</p> Signup and view all the answers

    Achieving full distribution transparency is always a desirable goal and should be the primary objective.

    <p>False (B)</p> Signup and view all the answers

    Why can completely hiding failures in a distributed system be impractical?

    <p>Both A and B are valid reasons. (A)</p> Signup and view all the answers

    Flashcards

    Distributed System

    A collection of independent computing elements that appears to users as a single system.

    Autonomous Nodes

    Individual computing elements (hardware or software) in a distributed system.

    Overlay Network

    Nodes in a distributed system communicate only with their neighbors.

    Structured Overlay

    Nodes have predefined relationships (e.g., tree, ring).

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    Unstructured Overlay

    Nodes' connections are random.

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    Distribution Transparency

    Users do not need to know the location or distribution of system resources or replicas.

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    Partial Failures

    Only a portion of a distributed system experiences a failure.

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    Middleware

    The operating system of distributed systems; provides common functions and components.

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    Resource Sharing

    Distributed access to shared components (e.g., files, databases).

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    Access Transparency

    Hidden differences in how resources are accessed.

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    Location Transparency

    Hiding the physical location of resources.

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    Relocation Transparency

    Hidden movement of resources while still in use.

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    Migration Transparency

    Hiding the movement of resources or nodes.

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    Replication Transparency

    Hidden existence of resource replicas.

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    Concurrency Transparency

    Users are unaware of resources being accessed/used by multiple users simultaneously.

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    Failure Transparency

    Hiding resource failure and recovery.

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    Openness

    System design allows for interoperability and extension.

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    Scalability

    System's ability to handle increased load without significant performance degradation.

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    Global Clock

    A single, shared clock used to synchronize nodes in a system.

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    Time synchronization issues

    Inconsistencies in clocks and time perception across different nodes.

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    Group Membership

    Managing the constantly evolving set of nodes actively participating in the system.

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    Authorization

    The mechanisms to ensure that only authorized components or nodes can access resources.

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    Network Latency

    Delays in communication between nodes due to network transmission times.

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    Replication

    Copies of resources stored at separate locations to improve fault tolerance.

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    Study Notes

    Distributed Systems Introduction

    • A distributed system is a collection of autonomous computing elements that appears as a single, coherent system to its users.
    • These elements, often called nodes, can be hardware devices or software processes.
    • Users or applications perceive a single system, requiring nodes to collaborate.

    Characteristic Features

    • Autonomous Nodes: Each node operates independently, having its own time, which creates synchronization and coordination challenges.
    • Single Coherent System: Users and applications interact with the system as if it were a single entity, regardless of the nodes' locations or the interactions between them.

    Collection of Autonomous Nodes

    • Independent Behavior: Nodes operate autonomously, each with its own timekeeping; a global clock is absent. This leads to issues in synchronization and coordination.
    • Management of Group Membership: The system needs to manage how nodes join and leave the system, and to ensure that only authorized nodes interact.
    • Node Authorization: The system needs to verify the identity of interacting nodes.

    Overlay Network

    • Communication within the system occurs only between immediate neighbors.
    • The set of neighbors might be:
    • Dynamic (changeable over time)
    • Known implicitly (nodes discover neighbors needing to query the system)

    Overlay Network Types

    • Peer-to-Peer (P2P): A well-known example of an overlay network.
    • Structured: Nodes have a defined set of neighbors (e.g., tree, ring structures).
    • Unstructured: Nodes refer to randomly selected other nodes in the system.

    Coherent System

    • The system operates consistently regardless of the location, time of interaction, or user's interaction point.
    • Distribution transparency: The user is unaware of the distributed nature of the system (where computations are performed, where data is stored, how replication is handled).

    Examples of Transparency

    • User Perspective: The user doesn't know where a computation is taking place.
    • Data Perspective: The user doesn't know where data is stored, or whether the data is replicated.
    • Transparency issues: Data or computations may be processed on different machines or locations.

    Middleware and Distributed Systems

    • Middleware: The software layer that sits on top of the local operating systems to provide a common interface for distributed systems, concealing the underlying heterogeneity.
    • Support Common Functions: Provides commonly used functionalities and components that are needed across applications deployed on different computers in a distributed system.
    • Functionalities: Shared resources, uniform presentation, and access are examples of functionalities that are provided.

    Goals of Distributed Systems

    • Resource Sharing: Multiple independent nodes can share resources.
    • Distribution Transparency: Applications can operate as if the system was a single machine.
    • Openness: Applications communicate using standard protocols.
    • Scalability: Adding nodes to improve and extend the capacity and functionalities of the system.

    Example of Resource Sharing

    • Cloud-based storage: Storage and files are shared across the cloud.
    • Peer-to-peer multimedia streaming: Multimedia content is distributed among peers.
    • Shared mail services: Email is routed to different locations.
    • Shared Web hosting: Web content is distributed across servers.

    Distribution Transparency Types

    • Access: Hiding differences in accessing data.
    • Location: Hiding the location or placement of the data.
    • Relocation: Hiding that data may be moved to other locations.
    • Migration: Hiding if the data is moved to other locations.
    • Replication: Hiding if data is replicated across the system.
    • Concurrency: Hiding the presence of multiple users concurrently accessing the data.
    • Failure: Hiding the system failures and recovery mechanisms.

    Degree of Transparency

    • Challenges: Achieving complete transparency is difficult and may impact performance or reliability.
    • Exposing Distribution: Exposing certain aspects may be beneficial (e.g., enabling location-based services).

    Conclusion

    • Achieving full distribution transparency is a significant challenge.
    • Partial transparency might be a more realistic and practical objective.

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