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 …

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

In cloud computing environments, it is a great challenge to schedule a workflow application
because it is an NP-complete problem. Particularly, scheduling workflows with different …

As one of the latest market-oriented resource provisioning paradigms, cloud computing has
been widely adopted by a growing number of consumers due to its powerful computing …

Recently cloud computing has gained popularity among e-Science environments as a high
performance computing platform. From the viewpoint of the system, applications can be …

Background: Cloud computing is used to deliver IT resources over the internet. Due to the
popularity of cloud computing, nowadays, most of the scientific workflows are shifted towards …

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 …

Cloud computing is a paradigm shift in service delivery that promises a leap in efficiency and
flexibility in using computing resources. As cloud infrastructures are widely deployed around …

Cloud computing offers resources to users for computing and storage needs on the policy
pay-what-you-use model. A private cloud is an excellent cost-saving option because the …

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 …