This paper presents ZHT, a zero-hop distributed hash table, which has been tuned for the
requirements of high-end computing systems. ZHT aims to be a building block for future …

Current leadership-class machines suffer from a significant imbalance between their
computational power and their I/O bandwidth. While Moore's law ensures that the …

Today's computational science demands have resulted in ever larger parallel computers,
and storage systems have grown to match these demands. Parallel file systems used in this …

Remote procedure call (RPC) is a technique that has been largely adopted by distributed
services. This technique, now more and more used in the context of high-performance …

Analysis of large-scale simulation output is a core element of scientific inquiry, but analysis
queries may experience significant I/O overhead when the data is not structured for efficient …

I/O is the critical bottleneck for data-intensive scientific applications on HPC systems and
leadership-class machines. Applications running on these systems may encounter …

Growing evidence in the scientific computing community indicates that parallel file systems
are not sufficient for all HPC storage workloads. This realization has motivated extensive …

As storage systems evolve, the block-based design of today's disks is becoming inadequate.
As an alternative, object-based storage devices (OSDs) offer a view where the disk …

This paper presents a study of I/O scheduling techniques applied to the I/O forwarding layer.
In high-performance computing environments, applications rely on parallel file systems …

The paper describes and evaluates Fireplug, a flexible architecture to build robust geo-
replicated graph databases. Fireplug can be configured to tolerate from crash to Byzantine …