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

As the development of deep learning and the continuous improvement of computing power,
as well as the needs of social production, target detection has become a research hotspot in …

A cloud workflow system is a type of platform service which facilitates the automation of
distributed applications based on the novel cloud infrastructure. One of the most important …

Scientific workflows are often deployed across multiple cloud computing platforms due to
their large-scale characteristic. This can be technically achieved by expanding a cloud …

We address the problem of scheduling workflow applications on heterogeneous computing
systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a …

Massive parallel business workflows running in the cloud are prone to temporal violations
(namely intermediate runtime delays) due to various reasons such as service performance …

Scientific processes are usually time constrained with overall deadlines and local
milestones. In scientific workflow systems, due to the dynamic nature of the underlying …

Cloud computing is the latest market-oriented computing paradigm which brings software
design and development into a new era characterized by “XaaS”, ie everything as a service …

To deliver high QoS (quality of service) for business process participants, workflow temporal
verification is conducted to provide satisfactory on-time completion rate of business process …

Due to the dynamic nature of cloud computing, how to achieve satisfactory QoS (Quality of
Service) in cloud workflow systems becomes a challenge. Meanwhile, since QoS …