Learned indexes that utilize machine learning models can offer significant performance
advantages over traditional indexes. However, existing learned indexes suffer from space …

Distributed systems often serve dynamic workloads and resource demands evolve over
time. Such a temporal behavior stands in contrast to the static and demand-oblivious nature …

In the field of data stream processing, there are two prevalent models, ie, insertion-only, and
turnstile models. Most previous works were proposed for the insertion-only model, which …

Sketches have gained popularity as effective methods for estimating frequency in data
streams, and optimizing their accuracy is critical in many applications. However, while …

HTAP systems are designed to handle transactional and analytical workloads. Besides a
mixed workload at any given time, the workload can also change over time. A popular kind …

In this demo, we realize data indexes that can morph from being write-optimized at times to
being read-optimized at other times nonstop with zero-down time during the workload …

ABSTRACT A perfect hash function (PHF) maps a set of keys to a range of integers with no
collisions. Compared to conventional hash methods, PHFs are attractive for their low space …

This paper introduces a technique for synthesizing hash functions specialized to particular
byte formats. This code generation method leverages three prevalent patterns:(i) fixed …