Benefiting from the flexible, scalable and secure environment, hybrid cloud can overcome
the shortage of limited resources in private cloud to simultaneously execute large-scale …

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 …

Many scientific applications can be well modelled as large-scale workflows. Cloud
computing has become a suitable platform for hosting and executing them. Workflow …

The cloud has been widely used as a distributed computing platform for running scientific
workflow applications. Most of the cloud providers encourage the use of their underutilized …

The cloud workflow scheduling problem has important applications in modern commercial
and industrial areas. In the public cloud environment, the workflow suffers from security …

Recently, modern businesses have started to transform into cloud computing platforms to
deploy their workflow applications. However, scheduling workflow under resource allocation …

Highly scalable resource supply capacity of cloud computing has greatly improved the
execution speed of workflow applications, however, traditional workflow scheduling …

Internet of Things applications can be represented as workflows in which stream and batch
processing are combined to accomplish data analytics objectives in many application …

Workflow scheduling in cloud platforms is a highly challenging issue because it faces
multiple conflicting optimization objectives and large-scale decision variables. Most of the …

Scheduling is a decision-making mechanism that allows resource sharing among several
activities by determining their order of execution on the available resources. In the …