In this article, we survey recent research on column-oriented database systems, or column-
stores, where each attribute of a table is stored in a separate file or region on storage. Such …

The Industry 4.0 paradigm is boosting the relevance of predictive maintenance (PdM) for
manufacturing and production industries. PdM strongly relies on Internet of Things (IoT) …

The increases in main-memory sizes over the last decade have made pure in-memory
database systems feasible, and in-memory systems offer unprecedented performance …

Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …

Prognostics and systems health management (PHM) is an enabling discipline that uses
sensors to assess the health of systems, diagnoses anomalous behavior, and predicts the …

While Processing-in-Memory has been investigated for decades, it has not been embraced
commercially. A number of emerging technologies have renewed interest in this topic. In …

DB2 with BLU Acceleration deeply integrates innovative new techniques for defining and
processing column-organized tables that speed read-mostly Business Intelligence queries …

Next generation high-performance RDMA-capable networks will require a fundamental
rethinking of the design and architecture of modern distributed DBMSs. These systems are …

The Globus project is a multi-institutional research effort that seeks to enable the
construction of computational grids providing pervasive, dependable, and consistent access …

With the advent of cloud computing, where computational resources are expensive and data
movement needs to be secured and minimized, database management systems need to …