Draft:Distributed system simulator

{{AFC submission|d|context|u=ScribeOfTheWiki|ns=118|decliner=Caleb Stanford|declinets=20250510203811|ts=20250419163026}}

{{AFC submission|d|v|u=ScribeOfTheWiki|ns=118|decliner=Johannes Maximilian|declinets=20250419091004|small=yes|ts=20250419051128}}

{{AFC comment|1=The topic is notable; the references are not.

Ref. 1 is about "distribution systems", not distributed systems. Ref. 2 and Ref. 4 are not independently notable. Caleb Stanford (talk) 20:38, 10 May 2025 (UTC)}}

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{{Short description|Simulators of Distributed Systems}}

{{Draft topics|media|computing}}

{{AfC topic|product}}

A distributed system simulator is a software tool used to model and imitate the behavior of distributed systems in a virtual environment.{{Cite journal |last1=Connors |first1=Michael M. |last2=Coray |first2=Claude |last3=Cuccaro |first3=Carol J. |last4=Green |first4=William K. |last5=Low |first5=David W. |last6=Markowitz |first6=Harry M. |date=April 1972 |title=The Distribution System Simulator |url=https://pubsonline.informs.org/doi/10.1287/mnsc.18.8.B425 |journal=Management Science |volume=18 |issue=8 |pages=B–425 |doi=10.1287/mnsc.18.8.B425 |issn=0025-1909}} These simulators allow developers, engineers, and researchers to evaluate, test{{Cite book |last1=King |first1=Jayden |last2=Kim |first2=Young Ki |last3=Lee |first3=Young Choon |last4=Hong |first4=Seok-Hee |chapter=Visualisation of Distributed Systems Simulation Made Simple |date=December 2019 |title=2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) |chapter-url=https://ieeexplore.ieee.org/document/8968887 |pages=309–312 |doi=10.1109/CloudCom.2019.00053|isbn=978-1-7281-5011-6 }}, and optimize distributed architectures without needing to deploy them in physical or production systems.{{Cite web |title=The Modern Age of Computer Systems Simulation — SimGrid documentation |url=https://simgrid.org/doc/latest/ |access-date=2025-04-20 |website=simgrid.org |language=en}} By offering an environment to simulate real-world behaviors{{Cite web |title=Simulation: An Underutilized Tool in Distributed Systems - ACM Queue |url=https://queue.acm.org/detail.cfm?id=3711677 |access-date=2025-04-20 |website=queue.acm.org}}—such as message passing, node failures, latency variations, and concurrency—distributed system simulators make it easier to develop and debug complex systems under safe and repeatable conditions.

One of the core advantages of these tools is the ability to test distributed systems without risking data loss, hardware failure, or unintended side effects.. Simulators also allow developers to reproduce rare or difficult-to-trigger bugs by artificially recreating specific network conditions or execution sequences that might be hard to observe in live environments. This capability makes them a valuable resource for both academic research and production-grade engineering, especially when evaluating the reliability, fault tolerance, and scalability of distributed algorithms

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