Cognitive Infrastructure: A Unified DCIM Framework for AI Data Centers

Fuente: arXiv
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Auteur principal: Sunkara, Krishna Chaitanya
Format: Preprint
Publié: 2026
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author Sunkara, Krishna Chaitanya
author_facet Sunkara, Krishna Chaitanya
contents This work presents DCIM 3.0, a unified framework integrating semantic reasoning, predictive analytics, autonomous orchestration, and unified connectivity for next-generation AI data center management. The framework addresses critical challenges in infrastructure automation, sustainability, and digital-twin design through knowledge graph-based intelligence, thermal modeling, and the Unified Device Connectivity Protocol (UDCP).Keywords-Data Center Infrastructure Management, DCIM, AI Data Centers, Knowledge Graphs, Digital Twin, Thermal Management, Infrastructure Automation, Sustainability, GPU Computing, Data Center
format Preprint
id arxiv_https___arxiv_org_abs_2601_04750
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Cognitive Infrastructure: A Unified DCIM Framework for AI Data Centers
Sunkara, Krishna Chaitanya
Distributed, Parallel, and Cluster Computing
Networking and Internet Architecture
C.2.6; C.2.4; C.4; I.2.4
This work presents DCIM 3.0, a unified framework integrating semantic reasoning, predictive analytics, autonomous orchestration, and unified connectivity for next-generation AI data center management. The framework addresses critical challenges in infrastructure automation, sustainability, and digital-twin design through knowledge graph-based intelligence, thermal modeling, and the Unified Device Connectivity Protocol (UDCP).Keywords-Data Center Infrastructure Management, DCIM, AI Data Centers, Knowledge Graphs, Digital Twin, Thermal Management, Infrastructure Automation, Sustainability, GPU Computing, Data Center
title Cognitive Infrastructure: A Unified DCIM Framework for AI Data Centers
topic Distributed, Parallel, and Cluster Computing
Networking and Internet Architecture
C.2.6; C.2.4; C.4; I.2.4
url https://arxiv.org/abs/2601.04750