---
format: "aidr-story-markdown/v1"
id: "e7906e0264c0efc13797a52149e0edcfcfd4cfd02df24f2aa1ffbc291d43ffe5"
canonical_url: "https://aidr.today/e7906e02?lang=en"
title: "Uncertainty-Aware Resource Orchestration for Agentic AI Systems"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-05T05:00:00.000Z"
category: "Research"
topics: ["agent"]
source_urls: ["https://arxiv.org/abs/2611.05392"]
summary: "Uncertainty-Aware Resource Orchestration addresses the challenge of scheduling agentic AI systems whose compute, bandwidth, and latency demands are unknown at dispatch time and emerge at runtime, creating unpredictability that existing schedulers and edge resource-management methods cannot handle."
---

# Uncertainty\-Aware Resource Orchestration for Agentic AI Systems

> [Open the canonical story](<https://aidr.today/e7906e02?lang=en>)

**Published:** 2026-11-05T05:00:00.000Z
**Category:** Research
**Topics:** agent

## Summary

Uncertainty\-Aware Resource Orchestration addresses the challenge of scheduling agentic AI systems whose compute, bandwidth, and latency demands are unknown at dispatch time and emerge at runtime, creating unpredictability that existing schedulers and edge resource\-management methods cannot handle\.

## Sources

- [Story source](<https://arxiv.org/abs/2611.05392>)