{"title":"SOV: Service Oriented Virtualization Model for Medical Image Grid","authors":"Aobing Sun, Hai Jin, Qin Zhang, Ran Zheng","doi":"10.1109/FTDCS.2008.30","DOIUrl":null,"url":null,"abstract":"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 instances. The layer adopts semantic based cross clustering means to support approximate optimal service selection from WSS (Web service set) to break through the hard-encoded mode of web-service based applications. It provides service-independent composition mechanism and can adjust a service composition path even during runtime. SOV utilizes the web services as the joint-point of grid, semantic and virtualization technologies so as to conceal the heterogeneities of low-level resources and surpass the limits of tightly-coupled mode to service composition within grid environment.","PeriodicalId":414800,"journal":{"name":"2008 12th IEEE International Workshop on Future Trends of Distributed Computing Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 12th IEEE International Workshop on Future Trends of Distributed Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FTDCS.2008.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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 instances. The layer adopts semantic based cross clustering means to support approximate optimal service selection from WSS (Web service set) to break through the hard-encoded mode of web-service based applications. It provides service-independent composition mechanism and can adjust a service composition path even during runtime. SOV utilizes the web services as the joint-point of grid, semantic and virtualization technologies so as to conceal the heterogeneities of low-level resources and surpass the limits of tightly-coupled mode to service composition within grid environment.