Workflow scheduling is one of the challenging issues in emerging trends of the distributed
environment that focuses on satisfying various quality of service (QoS) constraints. The …

Modern scientific collaborations have opened up the opportunity to solve complex problems
that require both multidisciplinary expertise and large-scale computational experiments …

This work introduces Mashup, a novel strategy to leverage serverless computing model for
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …

HPC applications are increasingly being designed as dynamic workflows for the ease of
development and scaling. This work demonstrates how the serverless computing model can …

Cloud computing provides solutions to many scientific and business applications. Large‐
scale scientific applications, which are structured as scientific workflows, are evaluated …

Private cloud infrastructures are now widely deployed and adopted across technology
industries and research institutions. Although cloud computing has emerged as a reality, it is …

Cloud computing evolved from the concept of utility computing, which is defined as the
provision of computational and storage resources as a metered service. Another key …

Abstract Analysis of public transportation data in large cities is a challenging problem.
Managing data ingestion, data storage, data quality enhancement, modelling and analysis …

Given the significant development of the Internet of Things (IoT) in recent years as well as
the growing need for data around the world, cloud computing alone is not able to manage …

Fast and simple access to computing resources for in-silico experiments and processing of
large amounts of data have become crucial factors for researchers in the bioinformatics and …