For the workflow scheduling question with delivery time constraints in cloud computing
environments, a time-aware scheduling-driven cloud computing scheduling algorithm is …

In this paper, two scheduling algorithms are presented, namely, time-constrained early-
deadline cost-effective algorithm (TECA) to schedule these time-sensitive workflows at the …

For those public-cloud-based application providers, workflow scheduling in clouds must not
only meet traditional performance optimization goals, but also minimize financial costs. This …

With the migration of more and more workflows to clouds, cloud workflow scheduling
becomes the main bottleneck for meeting user's Quality of Service (QoS) due to the …

Workflow scheduling is a key issue and remains a challenging problem in cloud computing.
Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud …

Scheduling scientific workflows in clouds under deadline constraint is a challenging problem
since public clouds usually provide various types of instances that are rented on-demand …

Scientific workflow is a common model to organize large scientific computations. It borrows
the concept of workflow in business activities to manage the complicated processes in …

Cloud computing is an emerging computational infrastructure for cost-efficient workflow
execution that provides flexible and dynamically scalable computing resources at pay-as …

The modeling of complex computational applications as giant computational workflows has
been a critically effective means of better understanding the intricacies of applications and of …

Nowadays, heterogeneous cloud resources are charged by cloud providers according to the
pay-as-you-go pricing model. To execute workflow applications in clouds under deadline …