We consider a cache refresh system where a local server is connected to multiple remote
sources and maintains local copies of the data items at the sources. The data at each source …

In a typical BI infrastructure, data, extracted from operational data sources, is transformed,
cleansed, and loaded into a data warehouse by a periodic ETL process, typically executed …

Data warehousing (DWH) is an extensively used and crucial practice in business
corporations that support the data analytic and decision-making process. But still there are …

The stream data warehouse is an answer to the rapidly changing world of data analysis,
which demands reliable and up-to-date results, obtained in a near real-time manner …

We discuss update scheduling in streaming data warehouses, which combine the features
of traditional data warehouses and data stream systems. In our setting, external sources …

Although the deferrable scheduling algorithm for fixed priority transactions (DS-FP) has
been shown to provide a better performance compared with the More-Less (ML) method …

Grid computing is a connected computing infrastructure that furnishes reliable, stable,
ubiquitous, and economic access to high-end computational power. The dynamic nature of …

Maintaining sensor data validity while exercising timely control is crucial in real-time sensing
and control systems. The goal of scheduling algorithms deployed in such systems is to …

Temporal consistency analysis is an important problem in Real-Time Database Systems
(RTDBSs). Most of existing works on hybrid transaction co-scheduling focus on exploring …

In this paper, we study the co-scheduling problem of periodic application transactions and
update transactions in real-time database systems for surveillance of critical events. To …