The first step towards an autonomous database management system (DBMS) is the ability to
model the target application's workload. This is necessary to allow the system to anticipate …

The workload in large-scale data repositories involves concurrent users and contains
homogenous and heterogeneous data. The large volume of data, dynamic behavior and …

Challenges for self-driving database systems, which tune their physical design and
configuration autonomously, are manifold: Such systems have to anticipate future …

The hosting of databases on virtual machines (VMs) has great potential to improve the
efficiency of resource utilization and the ease of deployment of database systems. This …

In-memory NoSQL transactional data grids are emerging as an attractive alternative to
conventional relational distributed databases. In these platforms, replication plays a role of …

Due to the complexity of industry-scale database systems, the total cost of ownership for
these systems is no longer dominated by hardware and software, but by administration …

Autonomic databases are intended to reduce the total cost of ownership for a database
system by providing self-management functionality. The self-management decisions heavily …

Replication plays an essential role for in-memory distributed transactional platforms, given
that it represents the primary means to ensure data durability. Unfortunately, no single …

Existing resource management solutions in datacenters and cloud systems typically treat
VMs as black boxes when making resource allocation decisions. This paper advocates the …

Significant emphasis has been placed recently on the hardening of databases and on
regular audits of such systems by independent auditors and certified Information Systems …