TPC-H continues to be the most widely used benchmark for relational OLAP systems. It
poses a number of challenges, also known as" choke points", which database systems have …

Data encoding has been applied to database systems for decades as it mitigates bandwidth
bottlenecks and reduces storage requirements. But even in the presence of these …

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

Columnar database systems can process complex mixed workloads on a single node. In
case of increasing and peak analytical processing demand, we can offload read-only …

This paper focuses on the fragment allocation problem in distributed databases and
proposes an approach that minimizes query splitting. Query splitting occurs when a query …

As real-time analytics become increasingly important, more organizations are deploying
Hybrid Transactional/An-alytical Processing (HTAP) systems. The HTAP systems, based on …

Database replication is a mechanism to achieve scalability, for example, by executing
queries independently on replica nodes. Partial replication is an approach to minimize the …

Increasing demand for analytical processing capabilities can be managed by replication
approaches. However, to evenly balance the replicas' workload shares while at the same …

Database replication and query load-balancing are mechanisms to scale query throughput.
The analysis of workloads allows loadbalancing queries to replica nodes according to their …

Capacity planning is an essential activity in the procurement and daily running of any multi-
server computer system. Workload placement is a well known problem and there are several …