Large-scale distributed environments, where each node is completely autonomous and
offers services to its peers through external communication, pose significant challenges to …

A distributed database is a collection of independent cooperating centralized systems.
Query processing in a distributed database requires transfer of data from one computer to …

The declarative nature of SQL has traditionally been a major strength. Users simply state
what information they are interested in, and the database management system determines …

The query optimizer is the DBMS (data base management system) component whose task is
to find an optimal execution plan for a given input query. Typically, optimization is performed …

The distributed query optimization is one of the hardest problems in the database area. The
great commercial success of database systems is partly due to the development of …

With the advent of distributed computing, particularly since the emergence of Grids, Clouds
and other Service Oriented Computing paradigms, the querying of huge datasets of …

Due to new distributed database applications such as huge deductive database systems,
the search complexity is constantly increasing and we need better algorithms to speedup …

Nowadays data analytics applications are accessing more and more data from distributed
data stores, creating a large amount of data traffic on the network. Therefore, distributed …

The development of a distributed database system requires effective solutions to many
complex and interrelated design optimization problems. The cost dependencies between …

Query optimization is the most critical phase in query processing. In this paper, we try to
describe synthetically the evolution of query optimization methods from uniprocessor …