Abstract The Joint Laboratory for Extreme-Scale Computing (JLESC) focuses on software
challenges in high-performance computing systems to meet the needs of today's science …

Purpose Internet users and Web-based applications continue to grow every day. The
response time on a Web application really determines the convenience of its users. Caching …

Abstract The evolution of High-Performance Computing (HPC) platforms enables the design
and execution of progressively larger and more complex workflow applications in these …

With the development of big data and blockchain, an increasing number of scholars have
begun to study blockchain for data sharing. By studying data sharing models that are based …

The wide adoption of the recently coined fog and edge computing paradigms alongside
conventional cloud computing creates a novel scenario, known as the cloud continuum …

Although smart devices markets are increasing their sales figures, their computing
capabilities are not sufficient to provide good-enough-quality services. This paper proposes …

Data sharing serves to maximize the efficiency of data resources by facilitating their full
utilization and reducing associated costs. However, existing data-sharing schemes are …

In this paper, we review the background and the state of the art of the Distributed Computing
software stack. We aim to provide the readers with a comprehensive overview of this area by …

Fog computing enables location dependent resource allocation and low latency services,
while fostering novel market and business opportunities in the cloud sector. Aligned to this …

Task-based programming models have proven to be a robust and versatile way to approach
development of applications for distributed environments. They provide natural …