Modern applications and virtualization require fast and predictable storage. Hard-drives
have low and unpredictable performance, while keeping everything in DRAM is still …

For decades, ARIES has been the standard for logging and recovery in database systems.
ARIES offers important features like support for arbitrary workloads, fuzzy checkpoints, and …

In-memory key-value stores that use kernel-bypass networking serve millions of operations
per second per machine with microseconds of latency. They are fast in part because they …

As its price per bit drops, SSD is increasingly becoming the default storage medium for hot
data in cloud application databases. Even though SSD's price per bit is more than 10× …

With Solid State Disks (SSDs) offering high degrees of parallelism, SSD controllers place
data and direct requests to exploit the maximum offered hardware parallelism. In the quest to …

Serverless platforms today impose rigid trade-offs between resource use and user-
perceived performance. Limited controls, provided via toggling sandboxes between warm …

Flat Datacenter Storage (FDS) is a high-performance, fault-tolerant, large-scale, locality-
oblivious blob store. Using a novel combination of full bisection bandwidth networks, data …

Using flash-based solid state drives (SSDs) as main memory has been proposed as a
practical solution towards scaling memory capacity for data-intensive applications. However …

Traditionally, active storage techniques have been proposed to move computation tasks to
storage nodes in order to exploit data locality. However, we argue in this paper that active …

Large-scale sorting is always an important yet demanding task for data center applications.
In addition to powerful processing capability, high-performance sorting system requires …