Towards Microsecond-Scale VM Core Provisioning Agility on Serverless Platforms

Bursty, data-intensive serverless workloads, such as server-less big data analytics and DNN inference, amplify the fundamental tension for cloud providers between meeting strict tail-latency service-level objectives (SLOs) and maintaining cost-effectiveness. A key reason is that today's multi-tenant platforms cannot reallocate physical cores between hardware-isolated virtual machines (VMs) at the microsecond speeds these applications require. This capability is critical for instantly responding to demand spikes by shifting resources from low-priority to latency-sensitive tasks.

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Publication Details

Published
2025-10-09
DOI
https://doi.org/10.1145/3725783.3764396
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Towards Microsecond-Scale VM Core Provisioning Agility on Serverless Platforms

Cloud Computing and Resource Management
article

Towards Microsecond-Scale VM Core Provisioning Agility on Serverless Platforms

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Abstract

Bursty, data-intensive serverless workloads, such as server-less big data analytics and DNN inference, amplify the fundamental tension for cloud providers between meeting strict tail-latency service-level objectives (SLOs) and maintaining cost-effectiveness. A key reason is that today's multi-tenant platforms cannot reallocate physical cores between hardware-isolated virtual machines (VMs) at the microsecond speeds these applications require. This capability is critical for instantly responding to demand spikes by shifting resources from low-priority to latency-sensitive tasks.

University of Southern California (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
Cloud Computing and Resource Management
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Towards Microsecond-Scale VM Core Provisioning Agility on Serverless Platforms · (2025) | TGRS Research Map | TGRS