Resource bricolage for parallel database systems

Resource Bricolage for Parallel Database Systems

Running parallel database systems in an environment with heterogeneous resources has become increasingly common, due to cluster evolution and increasing interest in moving applications into public clouds. For database systems running in a heterogeneous cluster, the default uniform data partitioning strategy may overload some of the slow machines while at the same time it may under-utilize the m...

Dynamic Multi-Resource Load Balancing in Parallel Database Systems

Parallel database systems have to support the effective parallelization of complex queries in multi-user mode, i.e. in combination with inter-query/inter-transaction parallelism. For this purpose, dynamic scheduling and load balancing strategies are necessary that consider the current system state for determining the degree of intra-query parallelism and for selecting the processors for executi...

An Authorization Framework for Database Systems

Today, data plays an essential role in all levels of human life, from personal cell phones to medical, educational, military and government agencies. In such circumstances, the rate of cyber-attacks is also increasing. According to official reports, data breaches exposed 4.1 billion records in the first half of 2019. An information system consists of several components, which one of the most im...

Decision Support for Management of Parallel Database Systems Decision Support for Management of Parallel Database Systems

Parallel database systems are generally recognised as one of the most important application areas for commercial parallel systems. However, the task of managing the performance of a parallel database system is exceedingly complex. The initial choice of hardware conngura-tion to support a particular DBMS application and the subsequent task of tuning the DBMS to improve performance rely not only ...

Dataflow Parallel Database Systems