Graph transaction processing poses unique challenges such as random data access due to
the irregularity of graph structures, low throughput and high abort rate due to the relatively …

There has been an increasing interest in building cloud-native databases that decouple
computation and storage for elasticity. A cloud-native database often adopts a cloud storage …

Complex data queries, because of their need for random accesses, have proven to be slow
unless all the data can be accommodated in DRAM. There are many domains, such as …

Worldwide data production is increasing both in volume and velocity, and with this
acceleration, data needs to be processed in streaming settings as opposed to the traditional …

Persistent Memory (PM) and Remote Direct Memory Access (RDMA) technologies have
significantly improved the storage and network performance in data centers and spawned a …

Graph transaction processing raises many unique challenges such as random data access
due to the irregularity of graph structures, low throughput and high abort rate due to the …

While large-scale simulations have been the hallmark of the High Performance Computing
(HPC) community for decades, Large Scale Data Analytics (LSDA) workloads are gaining …

Erasure coding has been a commonly used approach to provide high reliability with low
storage cost. But the skewed load in a recovery batch severely slows down the failure …