Cacheman: A Comprehensive Last-Level Cache Management System for Multi-tenant Clouds
Abstract
Competition for the last-level cache (LLC) is a long-standing issue in multi-tenant cloud environments, often leading to severe performance interference among co-located virtual machines. LLC management in the cloud faces unique challenges, including unpredictable tenant workloads, misaligned performance metrics, and the need to ensure fairness under service level agreements (SLAs). Existing LLC allocation methods fall short in addressing these challenges. We present Cacheman, a comprehensive LLC management system designed from real-world cloud deployment experience. Cacheman introduces a novel gradient-based sharing mechanism for LLC ways, enabling smooth LLC allocation adjustments that simultaneously improve fairness and utilization efficiency. Its real-time allocation algorithm promptly detects and mitigates unfair LLC allocation, adapting to dynamic workloads with second-scale responsiveness. Additionally, Cacheman supports performance consistency for tenants running distributed applications by enforcing negotiated upper bounds on cache usage. Extensive experiments demonstrate that Cacheman effectively achieves its multi-dimensional goals, and long-term production deployment further shows that it significantly reduces SLA violations caused by LLC contention.
Fields of Study & Subjects
Cloud Computing and Resource Management
IoT and Edge/Fog Computing
Caching and Content Delivery
Publication details
- Journal / source
- Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
- Publisher
- ACM
- Pages
- 329–341
- Publication date
- 28 January 2026