Efficiency of Buffer Caching in Computing-Intensive Workloads
Hyokyung Bahn · 2020
With the recent advent of the fourth industrial revolution, computing-intensive workloads such as big data and machine learning emerge every day. Even though the workloads are computation-intensive, there are file I/Os to access storage, and we need to improve the I/O performance by using buffer caching. This paper analyzes the efficiency of the buffer caching in the emerging computing-intensive workloads, and observes some peculiar I/O patterns, which degrades the performance of the buffer caching significantly. To relieve this problem, we present a new buffer caching scheme for improving the I/O performance of computing-intensive workloads. Simulation experiments with real-world traces show that the proposed buffer caching scheme improves the cache miss rate against the well-known LRU buffer caching policy by 35.2% on average and up to 81.6%.