Distributed Operating Systems Overview

A collection of independent computers that work together to appear as a single system to users.

Distributed systems are prone to failure due to the nature of independent components.

Limited bandwidth means that the data transfer rate between computers in a distributed system is restricted.

Latency refers to the delay in communication between computers in a distributed system.

Middleware hides the underlying differences between different operating systems and hardware in a distributed system, offering a consistent experience.

A distributed system where middleware connects components across multiple machines, providing a unified view for applications.

Middleware enables components in a distributed system to communicate effectively, hiding complexities from applications.

A distributed system conceals differences between computers and their communication methods from users.

Distributed systems are easily expandable by adding new computers or removing existing ones without impacting users.

A distributed system strives to remain operational even when parts are temporarily unavailable.

A type of communication where messages are sent and received at different times, allowing for flexibility in scheduling and response times.

The ability of a distributed system to seamlessly function and evolve, adding, deleting, or replacing components without disrupting other parts of the system.

Strategies used to handle increasing demands on a system by distributing workload and resources.

In a distributed system, it ensures different implementations of the same system, regardless of manufacturer, can work together.

This refers to the ability of a distributed system to adapt and function well as the number of users, processes, or geographic locations increase.

Splitting data and computations across multiple machines in a system.

A decentralized service that translates domain names (like google.com) to numerical IP addresses.

One aspect of scalability where a distributed system needs to manage the number of users or processes, ensuring smooth operation as they increase.

A network of interconnected systems that allow information sharing and communication.

This refers to how well a distributed system can function when its components are geographically spread out.

This aspect of scalability focuses on how easily a distributed system can be managed, including adding or removing components.

Creating copies of data on different machines to improve availability and performance.

Storing copies of data locally on client machines to reduce latency and improve performance.

A technique used to prevent performance degradation in distributed systems by distributing data and computations across multiple machines.

A technique for improving scalability and availability by creating copies of data in different machines.

Potential issues with data consistency when multiple copies of data exist and are modified independently.

A technique to hide communication latencies by reducing the need to wait for network responses.

Tolerating minor inconsistencies in data, typically suitable for resources with less critical requirements.

A technique to improve performance by allowing clients to access local copies of data instead of fetching it from remote servers.

Requiring strict data consistency, crucial for resources where accuracy is paramount.