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Over the past two decades, the cloud computing paradigm and its evolutions have become dominant—sometimes even treated as a utility service. This success stems from the ability of cloud systems to abstract complex computing infrastructures into manageable, higher-level “resources.”
However, this abstraction renders the physical and human infrastructure behind the cloud invisible. All cloud computing systems ultimately rely on servers, network equipment, cables, datacenters, distributed infrastructure software, and the skilled workers who design and maintain them. While abstraction simplifies usage, it introduces several fundamental challenges:
Environmental Impacts
The infrastructure supporting cloud services has rapidly grown in environmental footprint, especially with the rise of AI. Massive datacenters are being constructed, consuming power at the gigawatt scale, alongside a sharp increase in demand for GPU-class hardware.
The Illusion of Unlimited Resources
The elastic model of the cloud promotes the idea of infinite computing capacity. This disconnect between usage and physical infrastructure encourages overconsumption and obscures its material costs. As noted in the 2011 NIST definition of cloud computing:
“The capabilities available for provisioning often appear to be unlimited and can be appropriated in any quantity at any time.”
Governance and Power Asymmetries
Centralized infrastructure controlled by a few providers leads to uneven power dynamics—illustrated by cases like the VMware/Broadcom fallout. When infrastructure is fully outsourced for simplicity, clients lose autonomy and critical skills become concentrated. Governance structures deeply shape users’ rights and influence the control they have over infrastructure, including sensitive matters such as access by intelligence agencies.
This workshop invites work that investigates the technical, environmental, and sociological aspects of cloud and AI infrastructures—ranging from the materiality of datacenters to the socio-technical dependencies between providers and users.
We welcome work-in-progress and prospective research, particularly on:
Submissions are encouraged from Computer Science, STS (Science and Technology Studies), and other humanities and social sciences. The objective is to foster a genuinely interdisciplinary dialogue on the hidden material, technical, and political aspects of today’s computing infrastructures.
This workshop aims to bridge research from at least three communities:
Workshop papers must be a maximum of 6 pages, following the ACM double-column format. This page limit includes all content (figures, references, appendices, etc.).
© 2025 INFRASTRUCTURE Workshop • Adapted from Moonwalk theme