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 …

Caching is an indispensable technique for low-cost and fast data serving. The eviction
algorithm, at the heart of a cache, has been primarily designed to maximize efficiency …

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 …

Deep learning training (DLT) applications exhibit unique I/O workload behaviors that pose
new challenges for storage system design. DLT is I/O intensive since data samples need to …

Hybrid storage servers combining solid-state drives (SSDs) and hard-drive disks (HDDs)
provide cost-effectiveness and μs-level responsiveness for applications. However …

With the popularization and application of Artificial Intelligence technology, knowledge
graph embedding methods are widely used for a variety of machine learning tasks …

The current explosion of user traffic compels Internet service providers to cache contents at
edge servers, so as to reduce the response time of user requests. To deal with such vast …

Solid State Drives (SSDs) are popularly used for caching in large scale cloud storage
systems nowadays. Traditionally, most cache algorithms make replacement upon each miss …

Many caching policies use machine learning to predict data reuse, but they ignore the
impact of incorrect prediction on cache performance, especially for large-size objects. In this …