AMP: program context specific buffer caching

We present Adaptive Multi-Policy disk caching (AMP), which uses multiple caching policies within one application, and adapts both which policies to use and their relative fraction of the cache, based on program-context specific information. AMP differentiate disk requests based on the program contexts, or code locations, that issue them. Compared to recent work, AMP is unique in that it employs a new robust scheme for detecting looping patterns in access streams, as well as a low-overhead randomized way of managing many cache partitions. We show that AMP outperforms non-detection-based caching algorithms on a variety of workloads by up to 50% in miss rate reduction. Compared to other detection-based schemes, we show that AMP detects access patterns more accurately for a series of synthesized workloads, and incurs up to 15% fewer misses for one application trace.