As an emerging technology, blockchain has achieved great success in numerous
application scenarios, from intelligent healthcare to smart cities. However, a long-standing …

Hash tables are a fundamental data structure for effectively storing and accessing sparse
data, with widespread usage in domains ranging from computer graphics to machine …

This paper explores new opportunities afforded by the growing deployment of compute and
I/O accelerators to improve the performance and efficiency of hardware-accelerated …

GPU-accelerated database systems have been studied for more than 10 years, ranging from
prototyping development to industry products serving in multiple domains of data …

Managing tail latency of requests has become one of the primary challenges for large-scale
Internet services. Data centers are quickly evolving and service operators frequently desire …

Predictive cloud resource management has been widely adopted to overcome the
limitations of reactive cloud autoscaling. The predictive resource management is highly …

HotRing: A Hotspot-Aware In-Memory Key-Value Store Page 1 This paper is included in the
Proceedings of the 18th USENIX Conference on File and Storage Technologies (FAST ’20) …

This paper introduces the concept of size-aware sharding to improve tail latencies for in-
memory key-value stores, and describes its implementation in the Minos key-value store …

Low-latency and high-bandwidth access to a large amount of data is a key requirement for
many web applications in data centers. To satisfy such a requirement, a distributed …

Key-Value (KV) stores are an integral building block in modern datacenter applications. With
byteaddressable persistent memory (PM) technologies, such as Intel/Micron's 3D XPoint, on …