Cloud Computing provides an attractive execution environment for scientific workflow
execution. However, due to the increasingly high charge cost of using cloud service, cost …

The predilection of scientific applications toward a high-performance computing system is
attained through the emergence of the cloud. Large-scale scientific applications can be …

Scientific workflows consist of numerous tasks subject to constraints on data dependency.
Effective workflow scheduling is perpetually necessary to efficiently utilize the provided …

The phenomenal advancement of technology paved the way for the execution of complex
scientific applications. The emergence of the cloud provides a distributed heterogeneous …

Workflows are adopted as a powerful modeling technique to represent diverse applications
in different scientific fields as a number of loosely coupled tasks. Given the unique features …

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 …

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 the latest distributed computing paradigm and it offers tremendous
opportunities to solve large-scale scientific problems. However, it presents various …

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 …

As an emerging business computing model, cloud computing needs to deal with the
scientific workflow submitted by user groups. How to efficiently schedule massive tasks of …