Modern web services use in-memory caching extensively to increase throughput and reduce
latency. There have been several workload analyses of production systems that have fueled …

As a cache eviction algorithm, FIFO has a lot of attractive properties, such as simplicity,
speed, scalability, and flash-friendliness. The most prominent criticism of FIFO is its low …

Web applications rely heavily on software caches to achieve low-latency, high-throughput
services. To adapt to changing workloads, three types of learned caches (learned evictions) …

Modern web applications heavily rely on in-memory key-value caches to deliver low-latency,
high-throughput services. In-memory caches store small objects of size in the range of 10s to …

LRU has been the basis of cache eviction algorithms for decades, with a plethora of
innovations on improving LRU's miss ratio and throughput. While it is well-known that FIFO …

We propose an Online-Model based Scheme for Cache Allocation for shared cache servers
among cloud block storage devices. OSCA can find a near-optimal configuration scheme at …

Caching is crucial for accelerating data access, employed as a ubiquitous design in modern
systems at many parts of computer systems. With increasing core count, and shrinking …

We consider a common setting where storage is disaggregated from the compute in data-
parallel systems. Colocating caching tiers with the compute machines can reduce load on …

We explore the opportunities and challenges of model execution caching, a nascent
research area that promises to improve the performance of cloud-based deep inference …

In distributed storage systems, file access efficiency has an important impact on the real-time
nature of information forensics. As a popular approach to improve file accessing efficiency …