SOSP

Phase Change Memory (PCM) is emerging as an attractive alternative to Dynamic Random Access Memory (DRAM) in building data-intensive computing systems. PCM offers read/write performance asymmetry that makes it necessary to revisit the design of in-...

Data center applications like graph analytics require servers with ever larger memory capacities. DRAM scaling, however, is not able to match the increasing demands for capacity. Emerging byte-addressable, non-volatile memory technologies (NVM) offer a ...

In this work, we develop IO trace and analysis framework, Androtrace, which is specifically tailored for Android platform. Unlike earlier works that required prolonged post processing procedures, Androtrace not only traces with low overhead, but also ...

As flash devices become ubiquitous in data centers and cost per gigabyte drops, flash systems need to provide data services similar to those of traditional storage. We present Mjölnir, a powerful and scalable engine that addresses the core problems that ...

There is a vast number and variety of file systems currently available, each optimizing for an ever growing number of storage devices and workloads. Users have an unprecedented, and somewhat overwhelming, number of data management options. At the same ...

The emergence of persistent memories promises a sea-change in application and data center architectures, with efficiencies and performance not possible with today's volatile DRAM and persistent slow storage. We present Software Defined Persistent Memory,...