With the explosive increase of big data in industry and academic fields, it is important to
apply large-scale data processing systems to analyze Big Data. Arguably, Spark is the state …

Machine learning has become a critical component of modern data-driven online services.
Typically, the training phase of machine learning techniques requires to process large-scale …

A distributed join is a fundamental operation for processing massive datasets in parallel.
Unfortunately, computing an equi-join over such datasets is very resource-intensive, even …

Approximate query processing (AQP) aims to provide an approximated answer close to the
exact answer efficiently for a complex query on large datasets, especially big data. It brings …

IoT-enabled devices continue to generate a massive amount of data. Transforming this
continuously arriving raw data into timely insights is critical for many modern online services …

Approximate query processing (or AQP) aims to quickly provide approximated answers for
time-consuming search queries on large datasets. It brings enormous benefits in data …

ABSTRACT A distributed join is a fundamental operation for processing massive datasets in
parallel. Unfortunately, computing an equi-join over such datasets is very resource …