<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Distributed Systems on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/distributed-systems/</link><description>Recent content in Distributed Systems on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/distributed-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Parallel Web Systems</title><link>https://terms-en.ai-term-hub.com/en/terms/parallel_web_systems/</link><pubDate>Sat, 18 Jul 2026 10:10:21 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/parallel_web_systems/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Parallel Web Systems refer to infrastructure designs where computational tasks are divided and executed simultaneously across multiple servers or processors connected via a network. This approach significantly enhances throughput and reduces latency for high-traffic web applications. By distributing load and processing power, these systems ensure scalability and fault tolerance, allowing organizations to manage massive amounts of data and user requests without performance degradation. They often utilize message queues, load balancers, and distributed databases to coordinate parallel execution effectively.&lt;/p></description></item></channel></rss>