The von Neumann bottleneck is imposed due to the explosion of data transfers and
emerging data-intensive applications in heterogeneous system architectures. The …

NVMe SSDs based on flash are cheap and offer high throughput. Combining several of
these devices into a single server enables 10 million I/O operations per second or more. Our …

Integrated data analysis (IDA) pipelines---that combine data management (DM) and query
processing, high-performance computing (HPC), and machine learning (ML) training and …

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 …

The recent exciting development of persistent memory (PM) has led to many new proposals
that directly operate and persist indexes on the memory bus, potentially removing the need …

Flash memory is the de facto standard for data persistence in dataintensive systems. Despite
its benefits, this type of memory has at least one severe disadvantage: it is offered only as …

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 …

This extended report presents DDS, a novel disaggregated storage architecture enabled by
emerging networking hardware, namely DPUs (Data Processing Units). DPUs can optimize …

We live in a data-centric world where we are heading to generate close to 200 Zettabytes of
data by the year 2025. Our data processing requirements have also increased as we push to …