Using Lock-Free Design for Throughput-Optimized Cache Eviction

This paper presents a practical approach to cache eviction algorithm design, called Mobius, that optimizes the concurrent throughput of caches and reduces cache operation latency by utilizing lock-free data structures, while maintaining high cache hit ratios. Mobius includes two key designs. First, Mobius employs two lock-free FIFO queues to manage cache items, ensuring that all cache operations are executed efficiently in concurrency. Second, Mobius integrates a consecutive detection mechanism that merges multiple modifications during eviction into a single operation, thereby reducing data races. The implementation of Mobius in CacheLib and RocksDB highlights its high concurrency in both synthetic and real-world workloads.

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Publication Details

Journal
ACM SIGMETRICS Performance Evaluation Review
Published
2025-06-16
DOI
https://doi.org/10.1145/3744970.3727330
Primary Topic
Caching and Content Delivery
Type
article
Field-Weighted Citation Impact
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article

Using Lock-Free Design for Throughput-Optimized Cache Eviction

Hong Jiang, Dan Feng, Chao Dong, Fang Wang
ACM SIGMETRICS Performance Evaluation Review
Caching and Content Delivery
article

Using Lock-Free Design for Throughput-Optimized Cache Eviction

Hong Jiang, Dan Feng, Chao Dong, Fang Wang
article en

Abstract

This paper presents a practical approach to cache eviction algorithm design, called Mobius, that optimizes the concurrent throughput of caches and reduces cache operation latency by utilizing lock-free data structures, while maintaining high cache hit ratios. Mobius includes two key designs. First, Mobius employs two lock-free FIFO queues to manage cache items, ensuring that all cache operations are executed efficiently in concurrency. Second, Mobius integrates a consecutive detection mechanism that merges multiple modifications during eviction into a single operation, thereby reducing data races. The implementation of Mobius in CacheLib and RocksDB highlights its high concurrency in both synthetic and real-world workloads.

ACM SIGMETRICS Performance Evaluation ReviewVol. 53(1)
The University of Texas at Arlington (US), Wuhan National Laboratory for Optoelectronics (CN)
Decent work and economic growth
Openalex Percentile: Top 85%
Caching and Content Delivery
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