The rapid growth of the cloud industry has increased challenges in the proper governance of
the cloud infrastructure. Many intelligent systems have been develo**, considering …

Enterprises are moving their business-critical workloads to public clouds at an accelerating
pace. Multi-tenancy is a crucial tenet for cloud data service providers allowing them to …

Despite of decades of work, query optimizers still make mistakes on" difficult" queries
because of bad cardinality estimates, often due to the interaction of multiple predicates and …

The primordial function of a database system is to efficiently compute correct answers to
user queries. Therefore, robust query processing (RQP), where strong numerical guarantees …

Enterprises are moving their business critical workloads to public clouds at an accelerating
pace. Cloud data services for Online Transaction Processing (OLTP), Data Analytics and …

Machine Learning (ML) is quickly becoming a prominent method in many data management
components, including query optimizers which have recently shown very promising results …

Index tuning aims to find the optimal index configuration for an input workload. It is often a
time-consuming and resource-intensive process, largely attributed to the huge amount of" …

The increasing scale and complexity of workloads in modern cloud services highlight a
crucial challenge in automated index tuning: recommending high-quality indexes while …

Resource usage estimation for managing streaming workload in emerging applications
domains such as enterprise computing, smart cities, remote healthcare, and astronomy, has …

Database management systems (DBMSs) are notoriously difficult to deploy and administer.
The goal of a self-driving DBMS is to remove these impediments by managing itself …