The Task Scheduling Strategy In Virtual Computing Environment

Today, with the rapid development of computer technology and extensive application of Internet technology, more and more computing technology is relying on the network platform. Currently on the Internet, the computer resources are growing rapidly, in order to meet the needs of large-scale computing, and mass data storage and processing, we rely on the network to establish the virtual computing environment (iVCE) which support resource sharing and integration, it is a effective solution.In this paper, in order to meet the requirements of large-scale high performance computing, we build the virtual computing environment to suit the seismic data processing .The goal is to improve the efficiency of data processing , submit the task transparently, conveniently and efficiently, make it quickly match and efficiently execute in the suitable computing resource.Because of the natural reparability of Seismic data, the link between the data is very small. In general one data file is very large, so the requirements of computing resources is very high, in order to fully utilize computing resources, the task must be divided based on the properties of tasks and resources. In this paper, we use an improved particle swarm algorithm to divide the task. After the division, we use the AHP to match the resources and tasks. Experimental results show that the implementation of this scheme has an highly efficiency.