Distributed key-value store-based caching solutions are being increasingly used to
accelerate Big Data applications on modern HPC clusters. This has necessitated …

We present MemEC, an erasure-coding-based in-memory key-value (KV) store that
achieves high availability and fast recovery while keeping low data redundancy across …

In-memory key/value stores (KV-stores) are a key building block for numerous applications
running on a cluster. As cluster scales have grown, efficiency and availability have become …

The dramatic increase in the scale of current and planned high-end HPC systems is leading
new challenges, such as the growing costs of data movement and IO, and the reduced mean …

High reliability, low space cost, and efficient read/write performance are all desirable
properties for cloud storage systems. Due to the inherent conflicts, however, simultaneously …

Large-scale distributed systems are a collection of loosely coupled computers
interconnected by a communication network. They are now an integral part of everyday life …

In-memory key-value stores are often used to speed up Big Data workloads on modern HPC
clusters. To maintain their high availability, erasure coding has been recently adopted as a …

The limitation of local storage space in the HPC environments has placed an unprecedented
demand on the performance of the underlying shared parallel file systems. This has …

High-performance, distributed key-value store-based caching solutions, such as
Memcached, have played a crucial role in enhancing the performance of many Online and …

To achieve good trade-off between access performance and memory efficiency, it is
appropriate to adopt replication and erasure coding to keep popular and unpopular in …