In today's information-driven world, data access latency accounts for the expensive part of
processing user requests. One potential solution to access latency is prefetching, a …

This article proposes a pattern-based prefetching scheme with the support of adaptive cache
management, at the flash translation layer of solid-state drives (SSDs). It works inside of …

Metadata performance in distributed file systems (DFS) is critical, due to the following
trends:(a) the growing size of modern storage systems is expected to exceed billions of files …

Data prefetching is important for storage system optimization and access performance
improvement. Traditional prefetchers work well for mining access patterns of sequential …

This paper proposes an SSD-inside data prefetching scheme, which has features of OS-
dependence and use transparency. To be specific, it first mines frequent block access …

Data-intensive applications are generating massive amounts of data which is stored on
cloud computing platforms where distributed file systems are utilized for storage at the back …

In a cloud object system, all requests and data are routed through the proxy server, which
limits system performance. Exploiting data correlations to prefetch objects can effectively …

Cloud computing systems are widely used to deploy big data-based applications because of
their high storage and computation capacity. The key component for storage in cloud …

Modern web applications are deployed in cloud computing systems because they support
unlimited storage and computing power. One of the main back-end storage components of …

Prefetching is an important technique used in distributed file system for improving
performance. In this paper, we have proposed a novel frequent access pattern-based …