LaissezCloud: Continuous Resource Renegotiation for the Public Cloud

TL;DR

LaissezCloud introduces a continuous resource renegotiation platform for public clouds, enabling dynamic bidding and allocation adjustments to improve resource utilization and performance amid heterogeneous hardware.

Contribution

It presents a novel cloud resource management system that allows ongoing re-negotiation of allocations through online bidding, aligning incentives without exposing internal telemetry.

Findings

Reduces performance degradation by 8-23% compared to on-demand and spot baselines.

Scales efficiently to clusters of at least 10,000 nodes.

Supports diverse accelerator workloads with improved contention handling.

Abstract

Public clouds increasingly expose heterogeneous hardware, but their allocation interface remains built around rigid on-demand and spot service classes. This makes it hard to satisfy time-varying tenant objectives and operator constraints in oversubscribed, heterogeneous clusters without exposing internal application or infrastructure state. We present LaissezCloud, a cloud resource management platform for continuous re-negotiation of running allocations. Unlike spot instances, which use launch-time bids and unilateral preemption, LaissezCloud keeps allocations continuously contestable during execution: tenants and operators update bids online, and a running tenant keeps a resource only as long as its bid exceeds competing demand. Pricing serves both as a narrow waist and as an incentive-alignment mechanism between mutually untrusted participants: tenants express utility through bids, while operators price in power, cooling, or carbon constraints without exposing internal telemetry. Across a diverse set of accelerator workloads, LaissezCloud reduces performance degradation under contention by 8-23% versus on-demand and spot baselines, and scales to clusters of at least 10,000 nodes.