XIRAC: an optimized product-oriented near-real-time operating system with unlimited tasks and an innovative programming paradigm based on the maximum entropy method
Regular Papers|Updated:2025-05-06
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XIRAC: an optimized product-oriented near-real-time operating system with unlimited tasks and an innovative programming paradigm based on the maximum entropy method
Enhanced Publication
XIRAC:一种优化的具有无限制任务及创新编程范式的基于最大熵且面向产品的近实时操作系统
“In the fiercely competitive landscape of product-oriented operating systems, including the Internet of Things (IoT), efficiently managing a substantial stream of real-time tasks coexisting with resource-intensive user applications embedded in constrained hardware presents a significant challenge. Bridging the gap between embedded and general-purpose operating systems, we introduce XIRAC, an optimized operating system shaped by information-theory principles. Expert xx established the XIRAC system, which provides solutions to solve the problem of efficiently managing real-time tasks coexisting with resource-intensive user applications embedded in constrained hardware.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 4, Pages: 568-587(2025)
Affiliations:
Photonics and Quantum Technologies Research School, Nuclear Science and Technology Research Institute, Tehran 111553 486, Iran
Alireza ZIRAK. XIRAC: an optimized product-oriented near-real-time operating system with unlimited tasks and an innovative programming paradigm based on the maximum entropy method[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(4): 568-587.
DOI:
Alireza ZIRAK. XIRAC: an optimized product-oriented near-real-time operating system with unlimited tasks and an innovative programming paradigm based on the maximum entropy method[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(4): 568-587. DOI: 10.1631/FITEE.2400102.
XIRAC: an optimized product-oriented near-real-time operating system with unlimited tasks and an innovative programming paradigm based on the maximum entropy methodEnhanced Publication