Allegiantshark: An AI-Native, Self-Optimizing Distributed Operating System

Use the manuscript abstract. The current manuscript describes Allegiantshark as an AI-native distributed OS architecture and lightweight prototype, with Nova Queen, Nova Local, AHWP, scheduling, security, self-optimization, energy-aware scheduling, scalability, and evaluation methodology.

Authors

Sparsh Shandil (ORCID: https://orcid.org/0009-0008-2141-9624)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2026-09-28
DOI: https://doi.org/10.5281/zenodo.23004648
Primary Topic: Real-Time Systems Scheduling
Type: preprint

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preprint

Allegiantshark: An AI-Native, Self-Optimizing Distributed Operating System

Sparsh Shandil

Sep 28, 2026

Zenodo (CERN European Organization for Nuclear Research)

Real-Time Systems Scheduling

preprint

Allegiantshark: An AI-Native, Self-Optimizing Distributed Operating System

Sparsh Shandil

September 28, 2026preprint en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

Affordable and clean energy

Real-Time Systems Scheduling

DOI Open Access PDF OpenAlex

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Allegiantshark: An AI-Native, Self-Optimizing Distributed Operating System — Sparsh Shandil · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS