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HomeHomework Helpcomputer-scienceDistributed Systems and Concurrency

Distributed Systems and Concurrency

Distributed systems are computing systems with components located on networked computers that communicate and coordinate their actions by passing messages, while concurrency refers to the ability of a system to manage multiple computations simultaneously.

intermediate
5 hours
Computer Science
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Overview

Distributed systems are essential in today's technology landscape, enabling multiple computers to work together seamlessly. They provide benefits such as improved performance, scalability, and fault tolerance, making them ideal for applications like cloud computing and online services. Understanding...

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Key Terms

Distributed System
A system that consists of multiple independent computers that communicate and coordinate their actions.

Example: Cloud services like AWS are examples of distributed systems.

Concurrency
The ability of a system to handle multiple tasks at the same time.

Example: Web servers can handle multiple requests concurrently.

Scalability
The capability of a system to grow and manage increased demand.

Example: A website that can handle more users by adding more servers.

Fault Tolerance
The ability of a system to continue operating in the event of a failure.

Example: Redundant servers that take over if one fails.

Data Consistency
Ensuring that all copies of data are the same across distributed systems.

Example: Bank transactions must be consistent across all branches.

Lock
A mechanism to control access to a resource in a concurrent system.

Example: A file lock prevents multiple users from editing a document at the same time.

Related Topics

Cloud Computing
The delivery of computing services over the internet, allowing for scalable and flexible resource management.
intermediate
Microservices Architecture
An architectural style that structures an application as a collection of loosely coupled services.
advanced
Parallel Computing
A type of computation in which many calculations or processes are carried out simultaneously.
advanced

Key Concepts

ScalabilityFault ToleranceData ConsistencyConcurrency Control