An effective assemble-oriented framework for grid Web service based on open grid service architecture was proposed,in which Web service semantics network constructed by software reuse was designed to enhance the locat...An effective assemble-oriented framework for grid Web service based on open grid service architecture was proposed,in which Web service semantics network constructed by software reuse was designed to enhance the locating of assemble-oriented service resources.The successful Web services assembled structure was exploited to design semantics network,the logical and the physical structure of the resource was separated in Web service,and the logical resource derived from type ID of Web service was combined with semantic structure.The organizing protocol,data structures and the mechanism of implementation in the model were presented.Experiment results show that the success ratio of Web service request comes to 100% while providing completely assembly semantics set.This model provides guarantee of the reliability of assemble Web service and establishes the foundation of Web service automatic interaction,customizing application service and dynamic service configuration.展开更多
This paper presents DDGrid, a novel grid computing system for drug discovery and design. By utilizing the idle resources donated by the clusters that scatter over the Intemet, DDGrid can implement efficient data-inten...This paper presents DDGrid, a novel grid computing system for drug discovery and design. By utilizing the idle resources donated by the clusters that scatter over the Intemet, DDGrid can implement efficient data-intensive biologic applications. P2P high-level resource management framework with a GridP2P hybrid architecture is described. With P2P technologies, some problems which are inevitable in the master-slave model can be avoided, such as single point of failure or performance bottleneck. Then an agent-based resource scheduling algorithm is presented. With this scheduling algorithm, the idle computational resources are dynamically scheduled according to the real-time working load on each execution node. Thus DDGrid can hold an excellent load balance state. Furthermore, the framework is introduced into the practical protein molecules docking applications. Solid experimental results show the load balance and robustness of the proposed system, which can greatly speed up the process of protein molecules docking.展开更多
基金Project (60573127) supported by the National Natural Science Foundation of ChinaProject (06023960) supported by the Natural Science Foundation of Guangdong Province, ChinaProject (06JJ30032) supported by the Natural Science Foundation of Hunan Province, China
文摘An effective assemble-oriented framework for grid Web service based on open grid service architecture was proposed,in which Web service semantics network constructed by software reuse was designed to enhance the locating of assemble-oriented service resources.The successful Web services assembled structure was exploited to design semantics network,the logical and the physical structure of the resource was separated in Web service,and the logical resource derived from type ID of Web service was combined with semantic structure.The organizing protocol,data structures and the mechanism of implementation in the model were presented.Experiment results show that the success ratio of Web service request comes to 100% while providing completely assembly semantics set.This model provides guarantee of the reliability of assemble Web service and establishes the foundation of Web service automatic interaction,customizing application service and dynamic service configuration.
文摘This paper presents DDGrid, a novel grid computing system for drug discovery and design. By utilizing the idle resources donated by the clusters that scatter over the Intemet, DDGrid can implement efficient data-intensive biologic applications. P2P high-level resource management framework with a GridP2P hybrid architecture is described. With P2P technologies, some problems which are inevitable in the master-slave model can be avoided, such as single point of failure or performance bottleneck. Then an agent-based resource scheduling algorithm is presented. With this scheduling algorithm, the idle computational resources are dynamically scheduled according to the real-time working load on each execution node. Thus DDGrid can hold an excellent load balance state. Furthermore, the framework is introduced into the practical protein molecules docking applications. Solid experimental results show the load balance and robustness of the proposed system, which can greatly speed up the process of protein molecules docking.
