The task scheduling strategy has a great impact on system performance in cloud computing environment. In traditional distributed computation such as grid computing, scheduling algorithms for tree network were always based on single-port mode. However, single-port mode is not appropriate for cloud computing environment, because that in cloud environment, the participants of the cluster can do multiple tasks simultaneously. In recent years, some scholars have done a lot of researches of task scheduling in cloud computing environment. However, these researches, in terms of network topologies, were almost based on opaque cloud. When the participants of the cluster were organized into a tree structure, appropriate task scheduling strategy tailored to the situation of multitasking is still lacked. This paper focused on the feature of cloud computing environment, proposed a new framework of task scheduling strategy for tree network. This framework is based on master-slave model, it breaks the limitation of single-port mode. It is fit for the cloud environment, in which the host performance and network capacity are uncertain. This paper provided an available solution of the problem of task scheduling in tree network. It discussed about task scheduling strategy for tree depth of two, tree depth greater than two respectively. In addition, it proposed two algorithms for tree depth greater than two; finally, from three aspects: the rationality of target node selection, network overhead, time consumption of calculate, it compared these two algorithms.

Computational Fluid Dynamics (CFD) has become a powerful simulation technology used in many industrial applications for process design and optimization to save energy, improve environment, and reduce costs. In order to better understand CFD results and more easily communicate with non-CFD experts, advanced virtual reality (VR) visualization is desired for CFD post-processing. Efforts have recently been made at Purdue University Calumet to integrate VR with CFD to visualize complex data in three dimensions in an interactive, virtual environment. Historically, design engineers relied on CFD experts to interpret simulation results. With a virtual engineering system, design engineers will be able to assess the performance of their designs using CFD simulation results from a first person perspective. It will also allow plant engineers, operators, and other personnel to bring their experiences directly into the optimization process. The virtual engineering environment will greatly enhances the value of CFD simulations and allows engineers to gain much needed process insights in order to make sound engineering decisions. Integrating CFD with VR will provide a fantastic technology for the design and optimization of industrial processes because it allows for 1) overview of all the data and close examination of specific data points; 2) sharing insights about complex phenomena among nonexperts; 3) empowering people to work collaboratively and intuitively; 4) reducing design time for better solutions; 5) enabling engineers to design, analyze, revise their designs and watch as those changes take effect in the virtual model—all in real time; 6) training students, engineers and operators; Examples of a number of industrial applications will be presented.