Consumer-Oriented Computing: A Path to Community Data Centers

Fuente: arXiv
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1. Verfasser: Zhang, Tianhao
Format: Preprint
Veröffentlicht: 2025
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author Zhang, Tianhao
author_facet Zhang, Tianhao
contents Modern large-scale data centers are known for their engineering complexity, cooling, and oversubscription challenges. To mitigate these issues, this article proposes the implementation of community data centers that are closer to consumers as part of the data center ecosystem. Having a community data center can reduce latency, minimize network burden on Internet Service Providers (ISPs), utilize full computing capability, available during disaster events, and simplify the engineering complexity associated with traditional data centers. In addition to that, this article explores one technical design for such a community data center and the business strategy for operating community data centers.
format Preprint
id arxiv_https___arxiv_org_abs_2501_16752
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Consumer-Oriented Computing: A Path to Community Data Centers
Zhang, Tianhao
Networking and Internet Architecture
Modern large-scale data centers are known for their engineering complexity, cooling, and oversubscription challenges. To mitigate these issues, this article proposes the implementation of community data centers that are closer to consumers as part of the data center ecosystem. Having a community data center can reduce latency, minimize network burden on Internet Service Providers (ISPs), utilize full computing capability, available during disaster events, and simplify the engineering complexity associated with traditional data centers. In addition to that, this article explores one technical design for such a community data center and the business strategy for operating community data centers.
title Consumer-Oriented Computing: A Path to Community Data Centers
topic Networking and Internet Architecture
url https://arxiv.org/abs/2501.16752