The vendor lock‐in is a prominent issue in cloud computing. It is caused by cloud providers
who offer proprietary services, which hinders the cloud interoperability. Client‐centric …

Dramatic changes in the technology landscape marked by increasing scales and
pervasiveness of compute and data have resulted in the proliferation of edge applications …

Deep Learning has shifted the focus of traditional batch workflows to data-driven feature
engineering on streaming data. In particular, the execution of Deep Learning workflows …

Large-scale scientific facilities provide a broad community of researchers and educators with
open access to instrumentation and data products generated from geographically distributed …

Low latencies connections and decentralized servers are currently showcasing a new
potential for distributed computing. By moving away from traditional centralized cloud …

One of the major endeavors of modern cyberinfrastructure (CI) is to carry content produced
on remote data sources, such as sensors and scientific instruments, and to deliver it to end …

We live in a new era of Big Data, the era of insights. While our capacity to collect real-time
data has grown significantly over the past decade, our ability to analyze that data to turn it …

Combining IoT and Cloud computing capability enables the creation of smart environments
that can respond to real-time events, by (a) combining services offered by multiple …

The exponential growth of digital data sources has the potential to transform all aspects of
society and our lives. However, to achieve this impact, the data has to be processed in a …

1 BACKGROUND The purpose of this special issue is to collect a selection of representative
research articles that were primarily presented at the Eighth Workshop on Data-Intensive …