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In this paper we define a model for multiresolution time series database management systems. The main objective is to store compactly a time series and manage consistently its temporal dimension. It is achieved by extracting different resolutions and attributes summaries from the time series. Our work is concerned in putting together two areas of study: time series analysis and database managem...

In recent years, Database Management Systems (DBMS) have increased significantly in size and complexity, increasing the extent to which database administration is a time-consuming and expensive task. Database Administrator (DBA) expenses have become a significant part of the total cost of ownership. This results in the need to develop Autonomous Database Management systems (ADBMS) that would ma...

Storage management is important to the performance of DBMS. This paper gives a comprehensive overview of storage management in relational DBMS. The storage management is divided into three levels (logical, physical in-memory, and physical on-disk) and discussed separately. The logical level caches logical units (tuples or index values) of the DBMS based on the logical information to improve buf...

This paper presents some aspects of the ‘communication’ processes within a Systemic Disaster Management System (SDMS) model. Information and communication technology (ICT) plays a key part in managing natural disasters. However, it has been contended that ICT should not be used in ‘isolation’ but it should be seen as ‘part’ of the ‘whole’ system for managing disaster risk. Further research is n...

This position paper is dedicated to describing a preliminary model of an integrated system, called Play Management System (PMS). PMS is designed to support both players and teachers to deliver, use, manage and track play situations. This PMS model results from a design-based research methodology. Our approach focuses on (1) the learners and the situation that emerges when they play the game, ra...

In this position paper, we consider extending relational database systems with a recommendation functionality. In particular, we propose that, along with the results of each query, the user gets additional recommended results that we call “You May Also Like” or Ymal results. We discuss a suite of different approaches to computing Ymal results and exploit one that uses only the database content ...