Artificial Intelligence (AI) has achieved significant advancements in technology and research
with the development over several decades, and is widely used in many areas including …

Many modern key-value stores, such as RocksDB, rely on log-structured merge trees
(LSMs). Originally designed for spinning disks, LSMs optimize for write performance by only …

Log-structured merge (LSM) trees have emerged as one of the most commonly used disk-
based data structures in modern data systems. LSM-trees employ out-of-place ingestion to …

Log-structured merge (LSM) trees have emerged as one of the most commonly used storage-
based data structures in modern data systems as they offer high throughput for writes and …

Modern data systems are typically both complex and general-purpose. They are complex
because of the numerous internal knobs and parameters that users need to manually tune in …

LSM-trees are widely adopted as the storage backend of key-value stores. However,
optimizing the system performance under dynamic workloads has not been sufficiently …

Designing data stores for native Cloud Computing services brings a number of challenges,
especially if the Cloud Provider wants to offer database services capable of controlling the …

Key-value data structures constitute the core of any datadriven system. They provide the
means to store, search, and modify data residing at various levels of the storage and …

Mainstream LSM-tree-based key-value stores face challenges in optimizing performance for
point lookup, range lookup, and update operations concurrently due to their constrained …

Numerous applications today rely on artificial intelligence over images. Image AI is,
however, extremely expensive. In particular, the inference cost of image AI dominates the …