Query optimization is considered as one of the main challenges of query processing phases
in the cloud environments. The query optimizer attempts to provide the most optimal …

Data federation is emerging as a critical strategy for integrating and querying data across
diverse cloud data sources, offering a unified view without necessitating data migration. This …

Cloud computing is trusted and used by millions of users around the world. Therefore, it
becomes essential to offer trusted and efficient services to its users. Query processing and …

The goal of a query optimizer is to provide an optimal Query Execution Plan (QEP) by
comparing alternative query plans. In a distributed database system over cloud environment …

Speculative support for query execution in Relational Database Management Systems
(RDBMSs) based on a graph-analytic approach is the subject of this paper. Optimized …

Improving query performance remains one of the most interesting and challenging goals for
both the academic and industrial communities. Indeed, cloud computing has complicated …

Querying in isolation lacks the potential of reusing intermediate results, which ends up
wasting computational resources. Multi-Query Optimization (MQO) addresses this challenge …

The paper presents an insight into a speculative execution model of queries in RDBMS
based on the analysis of the stream of current queries appearing at the database input. A …

The paper concerns the methodology for speculative support for query execution in
Relational Database Management Systems (RDBMSs). It discusses and develops our …

Querying in isolation lacks the potential of reusing results, that ends up wasting
computational resources. Multi-Query Optimization (MQO) addresses this challenge by …