Recent approximation algorithms (eg, CounterStacks, SHARDS and AET) make lightweight,
continuously-updated miss ratio curves (MRCs) practical for online modeling and control of …

Solid State Drives (SSD's) have shown promise to be a candidate to replace traditional hard
disk drives. The benefits of SSD's over HDD's include better durability, higher performance …

We introduce Symbiosis, a framework for key-value storage systems that dynamically
configures application and kernel cache sizes to improve performance. We integrate …

In this paper, we study cache policies for cloud-based caching. Cloud-based caching uses
cloud storage services such as Amazon S3 as a cache for data items that would have been …

Due to large data volume and low latency requirements of modern web services, the use of
an in-memory key-value (KV) cache often becomes an inevitable choice (eg, Redis and …

Storage elasticity on IaaS clouds is a crucial feature in the age of data-intensive computing.
However, the traditional provisioning model of leveraging virtual disks of fixed capacity and …

Multitiered storage systems, which are made up of heterogeneous devices, are widely used
in distributed environments to accelerate the I/O performance of upper big data applications …

Multi-level buffer cache hierarchies are now commonly seen in most client/server cluster
configurations, especially in today's big data application deployment. However, multi-level …

Home Network-Attached Storage (NAS) provides an easy way for data sharing and backup
among multiple consumer electronic devices in home networks. Because of large capacity …

Storage elasticity on IaaS clouds is a crucial feature in the age of data-intensive computing,
especially when considering fluctuations of I/O throughput. This paper provides a …