Recently, we have been witnessing huge advancements in the scale of data we routinely
generate and collect in pretty much everything we do, as well as our ability to exploit modern …

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and
systems to analyze the large number of digital data sources available on the Internet using …

Big Data analysis refers to advanced and efficient data mining and machine learning
techniques applied to large amount of data. Research work and results in the area of Big …

The increasing pervasiveness of mobile devices along with the use of technologies like
GPS, Wifi networks, RFID, and sensors, allows for the collections of large amounts of …

The concept of scientific workflow makes it possible to link and control different tasks to carry
out a complex treatment. The complicated workflow is generated by scientific distributed …

Extreme scale parallel computing systems will have tens of thousands of optionally
accelerator-equiped nodes with hundreds of cores each, as well as deep memory …

Scalability is a key feature for big data analysis and machine learning frameworks and for
applications that need to analyze very large and real-time data available from data …

As large-scale distributed systems gain momentum, the scheduling of workflow applications
with multiple requirements in such computing platforms has become a crucial area of …

The widespread use of social media platforms allows scientists to collect huge amount of
data posted by people interested in a given topic or event. This data can be analyzed to infer …

Our society is generating an increasing amount of data at an unprecedented scale, variety,
and speed. This also applies to numerous research areas, such as genomics, high energy …