Modern web services use in-memory caching extensively to increase throughput and reduce
latency. There have been several workload analyses of production systems that have fueled …

RAMCloud is a storage system that provides low-latency access to large-scale datasets. To
achieve low latency, RAMCloud stores all data in DRAM at all times. To support large …

Hybrid memory systems consisting of DRAM and Non-Volatile Memory are promising to
persist data fast. The index design of existing key-value stores for hybrid memory fails to …

Performance of in-memory key-value store (KVS) continues to be of great importance as
modern KVS goes beyond the traditional object-caching workload and becomes a key …

Tail latency is a critical design issue in recent storage systems. B+-tree, as a fundamental
building block in storage systems, incurs high tail latency, especially when placed in …

To accommodate massive digital data, distributed data stores have become the main
solution for cloud services. Among others, key-value stores are widely adopted due to their …

Distributed data stores have been rapidly evolving to serve the needs of large-scale
applications such as online gaming and real-time targeting. In particular, distributed key …

We present bundled references, a new building block to provide linearizable range query
operations for highly concurrent lock-based linked data structures. Bundled references allow …

Scalable in-memory key-value stores provide low-latency access times of a few
microseconds and perform millions of operations per second per server. With all data in …

Emerging NUMA/CXL-based tiered memory systems with heterogeneous memory devices
such as DRAM and NVMM deliver ultrafast speed, large capacity, and data persistence all at …