distributed-systems - Concepts

Explore concepts tagged with "distributed-systems"

Total concepts: 16

Concepts

HTTP - The foundational protocol of the World Wide Web that enables the transfer of hypertext documents and data between clients and servers.
Determinism - The principle that given the same inputs and initial conditions, a system or process will always produce the same outputs.
Client-Server Architecture - A distributed computing model where client applications request services and resources from centralized servers over a network.
Microservices Architecture - A distributed architecture style that structures an application as a collection of small, autonomous services organized around business capabilities.
Chaos Engineering - The discipline of experimenting on distributed systems to build confidence in their ability to withstand turbulent conditions.
Byzantine Generals Problem - A fundamental problem in distributed computing about achieving consensus among distributed components when some may be faulty or malicious, named after a metaphor involving generals coordinating an attack.
Saga Pattern - A pattern for managing distributed transactions across multiple services by coordinating a sequence of local transactions with compensating actions for failures.
AI Agent Swarms - Systems where multiple AI agents work together to accomplish complex tasks through collaboration, communication, and coordination.
Statelessness - A design principle where components do not retain information between requests or operations, treating each interaction independently.
CAP Theorem - A theorem stating that distributed data stores can only guarantee two of three properties: Consistency, Availability, and Partition tolerance.
Idempotency - A property where an operation can be applied multiple times without changing the result beyond the initial application.
Kubernetes - An open source container orchestration platform for automating deployment, scaling, and management of containerized applications.
Multi-Agent System - A system composed of multiple interacting AI agents that collaborate, negotiate, or compete to accomplish complex tasks.
Eventual Consistency - A consistency model in distributed systems where, given enough time without new updates, all replicas of the data will converge to the same value, trading immediate consistency for higher availability.
Federated Learning - A distributed machine learning approach where models are trained across multiple decentralized devices or servers holding local data, without exchanging raw data.
Agent Orchestration - The coordination and management of multiple AI agents, including their workflows, communication, task delegation, and error handling to achieve complex goals.

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