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For the purpose of achieving high-performance information sharing in the simulation grid,an information capability-based three phase high-performance information sharing approach (TPHPISA for short) is advanced. The main idea of TPHPISA is selecting those information sources with highest information capability and executing the best query plan. To illustrate how TPHPISA works, an application example...
Agent-based grid data loading method aims at integrating heterogeneous hospitalspsila information systems into a medical information exchange platform based on grid middleware. It collects distributed data sets for decision support system, which makes data sources expanded from independent database modes to medical information systems in wide area. Virtual data access with grid service improves data...
The large population exerts high burdens to Chinese health census works. In this paper, we propose our PDCAS (pulmonary disease census aiding system) based on medical image grid, which aims to utilize the superiorities of grid technology to improve the efficiency of high-incidence and occupational pulmonary disease census. PDCAS integrates the individual medical information distributed in different...
The heterogeneity, distribution and dynamicity of web services hamper WSRF (Web service resource framework) of grid to exert its excellences in resource integrations. In this paper, we propose our SOV (service orient virtualization) model for medical image grid (MedImGrid), which creates a virtual middle layer for grid to simplify the transformation from users' business aims to executable web-service...
The programming is still a challenging issue for the high performance distributed computing (HPDC) platform, and it is critical to the popularity of peer-to-peer (P2P) based HPDC systems. Therefore, this paper focuses on the design and implementation of OMP, a one-sided message passing programming model for unstructured P2P computing system, P2HP. Based on taskspsila execution flow, P2HP provides...
It is very significant for the medical and health enterprises to develop an efficient medical information grid to achieve sufficient medical data share and integration. In order to access heterogeneous data resources transparently, front agent is built on heterogeneous databases or medical systems, the same as the unified data models and mapping rules with grid services to communicate with upper grid...
Physicians create Medical Image Libraries (MILs) to collect typical case images, and utilize CBIR (Content-based Image Retrieval) tools to search feature-similar samples within them to aid clinical intervention and diagnoses. This paper presents a CSBIR (Content and Semantic Context based Image Retrieval) scheme for MedlmGrid (Medical Image Grid) to tackle the sharing difficulties of special and heterogeneous...
In grid environment, applications are in active competition with unknown background workloads introduced by other users. To achieve good performance, performance models are used to predict the possible status of the resources, and to make decisions of the selection of a performance-efficient application execution strategy. In this paper, we present a scheduling decision method that utilizes the NARX...
This paper presents a grid scheduling optimization technique based on knowledge discovery. The main idea is to transform the grid monitoring data into a performance data set, extract the association patterns of performance data through fuzzy association rule mining, then construct optimization logic according to the mining results, and finally optimize the grid scheduling. In the process of data mining,...
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