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Holmes: SMT Interference Diagnosis and CPU Scheduling for Job Co-location

Aidi Pi, Xiaobo Zhou, Chengzhong Xu

2022Year
11Citations
2Top-tier citations

Abstract

Co-location of latency-critical services with best-effort batch jobs is commonly adopted in production systems to increase resource utilization. Although memory and CPU isolation have been extensively studied, we find Simultaneous Multi-Threading (SMT) technology imposes non-trivial interference on memory access which jeopardizes efficient co-location and performance assurance of latency-critical services. However, there is not an existing metric to quantitatively measure and lacks a deterministic approach to tackle SMT interference on memory access.

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