Elasticity of compute and storage is crucial for analytical cloud database systems. All cloud
vendors provide disaggregated object stores, which can be used as storage backend for …

Log-based data management systems use storage as if it were an append-only medium,
transforming random writes into sequential writes, which delivers significant benefits when …

In this paper, we suggest a novel GPU-in-data-path architecture that leverages a GPU to
accelerate the I/O path and thus can achieve almost in-memory bandwidth using SSDs. In …

Near-data processing (NDP) architecture is promised to break the bottleneck of data
movement in many scenarios (eg, databases and recommendation systems), which limits …

When replacing a dirty victim page upon page miss, the conventional buffer managers flush
the dirty victim first to the storage before reading the missing page. This read-after-write …

In-storage Near-Data Processing (NDP) architectures can reduce data movement between
the host and the storage device by offloading computing tasks to the storage. This …

As the amount of data produced in society continues to grow at an exponential rate, modern
applications are incurring significant performance and energy penalties due to high data …

The shift to cloud database systems, driven by independent scaling of compute and storage,
demands architectural changes. This thesis presents new concepts to improve query …

The exponential increase in data has significantly burdened data centers with heightened
operational demands and challenges in managing, storing, and processing information …

Emerging computational SSDs are becoming attractive solutions to boost the energy
efficiency and performance of data-intensive applications. Such computational SSDs take …