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

Scheduling is essentially a decision-making process that enables resource sharing among a
number of activities by determining their execution order on the set of available resources …

In recent years, with the advent of the Internet of Things (IoT), fog computing is introduced as
a powerful complement to the cloud to handle the IoT's data and communications needs …

To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

Benefiting from rich resources and virtualization technologies, hybrid cloud has emerged as
a promising solution to processing large-scale scientific workflow applications for users in a …

The rapid development of Internet of Things applications, along with the limitations of cloud
computing due mainly to the far distance between Internet of Thing devices and cloud-based …

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 …

Microservice has been increasingly recognized as a promising architectural style for
constructing large-scale cloud-based applications within and across organizational …

Fog computing is an emerging research domain to provide computational services such as
data transmission, application processing and storage mechanism. Fog computing consists …

Workflow Scheduling (WFS) mainly focuses on task allocation to achieve the desired
workload balancing by pursuing optimal utilization of available resources. At the same time …