Design On Grid Application System And Research On Its Implementation Technology

Grid computing technology is a hot research field of distributed computing. It connects all kinds of resources which are geographical distributed and heterogeneous by high-speed network, to achieve high performance federation computing and complete major application projects together. Now, it brings the revolutionary influence to various domains of the national economy and the people's livelihood. However, it's still a strong implementation of the technology to relate the grid technology to specific the application area. The related theoretic research is still weak. So, our project does researches on the basic theories, technologies and implemental methods for certain application area. It has theoretical and practical significance. This dissertation utilizes powerful computing abilities and vast resources of grid to improve the speed of shape-reconstruction and share the shape-reconstruction resources. And the prototype is built. The related productions offer theoretical foundations and practical techniques to same kind applications.Firstly, the similarities and differences of implemental methods are compared about cluster computing and grid computing. To meet the requirement of shape-reconstruction application, the architecture of the shape-reconstruction application oriented grid computing platform based on OGSA and GT3 is proposed. Surrounding a core topic that is how to realize the best mapping between grid resources and user's request, a service matching model which enables QoS-guaranteed is defined. And some implementation technologies such as resource description, service discovery, service selection and fault-tolerant are depicted with nonlinear programming idea.Secondly, to resolve the deficiency of service performance description in existed resource description mechanism, four QoS parameters related with the shape-reconstruction application are defined. Some extended works are done for existed resource description mechanism. And the shape-reconstruction resource is encapsulated with WSDL standard.Thirdly, existed service discovery mechanism lacks the ability of QoS-guaranteed and large-scale distributed searching. Combining with P2P and the people communities, the decentralized grid service discovery frame based on service community is constructed. The idea of two-stage information release and update is proposed interior of community. And the flexible protocol is designed to guarantee the high efficient of messages forwarding among communities. The services discovery algorithm based on two-stage matching is proposed and the advantage of the algorithm is validated through emulation experimentation. The grid monitoring service is designed and deployed for gaining the available service information in time.Fourthly, aiming at the traits of grid task executing, the problem of QoS-based service selection is transformed into the multi-goals optimal problem using the fractal theory. To resolve the antipathy problem of two performance objects, the price-time balance service selection algorithms is proposed and the advantage of the algorithm is validated through emulation experimentation. Due to fuzzy traits of service request, the measurements for fuzzy subjection and QoS weightiness is given, and the multi-goals balanced service selection algorithm is proposed to get well service. According as the service availability and the service equipollent relationship, a spare service is designed and deployed. It makes the service matching process possess the fault-tolerant ability.Finally, combining with the SR-BAV platform on 6-DOF parallel robot and grid technologies, the shape reconstruction grid application prototype system is constructed. The grid portal is designed to use grid services conveniently. The validity of prototype shows by example tests.