Workflow scheduling in scientific computing systems is one of the most challenging
problems that focuses on satisfying user-defined quality of service requirements while …

Workflows are an application model that enables the automated execution of multiple
interdependent and interconnected tasks. They are widely used by the scientific community …

Large-scale applications expressed as scientific workflows are often grouped into
ensembles of inter-related workflows. In this paper, we address a new and important …

In recent years, cloud computing plays a crucial role in many real applications. Thus, how to
solve workflow scheduling problems, ie, allocating and scheduling different resources …

Nowadays it is becoming more and more attractive to execute workflow applications in the
cloud because it enables workflow applications to use computing resources on demand …

Cloud computing is a suitable platform to execute the deadline-constrained scientific
workflows which are typical big data applications and often require many hours to finish …

Nowadays, scientists and companies are confronted with multiple competing goals such as
makespan in high-performance computing and economic cost in Clouds that have to be …

The concept of “extreme data” is a recent re-incarnation of the “big data” problem, which is
distinguished by the massive amounts of information that must be analyzed with strict time …

Providing resources and services from multiple clouds is becoming an increasingly
promising paradigm. Workflow applications are becoming increasingly computation …

With rapid development of the Internet of Things (IoT), a vast amount of raw data produced
by IoT devices needs to be processed promptly. Compared to cloud computing, fog …