Traditionally, real-time systems manage their data (eg chamber temperature, aircraft
locations) in application dependent structures. As real-time systems evolve, their …

In a distributed environment, tasks often have processing demands on multiple sites. A
distributed task is usually divided up into several subtasks, each one to be executed at some …

In addition to maintaining database consistency as in conventional databases, real-time
database systems must also handle transactions with timing constraints. While transaction …

In multiprocessor and distributed real-time systems, scheduling jobs dynamically on
processors is likely to achieve better performance. However, analytical and efficient …

Today's real-time systems are characterized by managing large volumes of data. Efficient
database management algorithms for accessing and manipulating data are required to …

We propose a class of real-time data access protocols called SSP (Similarity Stack Protocol).
The correctness of SSP schedules is justified by the concept of similarity which allows …

In recent years, a demand for real-time systems that can manipulate large amounts of
shared data has led to the emergence of real-time database systems (RTDBS) as a research …

Parallel database systems have to support the effective parallelization of complex queries in
multi-user mode, ie in combination with inter-query/inter-transaction parallelism. For this …

Dynamic load balancing is a prerequisite for effectively utilizing large parallel database
systems. Load balancing at different levels is required in particular for assigning transactions …

Active databases and real-time databases have been important areas of research in the
recent past. It has been recognized that many benefits can be gained by integrating real …