{"title":"面向医疗图像网格应用的云架构:Acigna-G项目","authors":"Tarik Zakaria Benmerar, F. Boumghar","doi":"10.1109/ISPS.2011.5898869","DOIUrl":null,"url":null,"abstract":"Acigna-G is a new Grid Computing platform we propose, for hosting and interacting with GNU/Linux Grid applications through a web portal, without or with a minimal API use. It aims to provide a convenient Cloud Service for Medical Imagery Grid applications. It extends our GIC architecture with an implementation of a light version of the Virtually-distribution Parallel Architecture and the Multi-level Services architecture that permit the deployment of distributed Grid applications onto our platform. We propose these architecture as solutions to achieve both the convenience of PaaS Cloud services and the richness of Grid applications. We show how we deploy a MAS segmentation algorithm for Medical Imagery onto our Acigna-G platform.","PeriodicalId":305060,"journal":{"name":"2011 10th International Symposium on Programming and Systems","volume":"386 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Toward a Cloud Architecture for Medical Imagery Grid applications : The Acigna-G Project\",\"authors\":\"Tarik Zakaria Benmerar, F. Boumghar\",\"doi\":\"10.1109/ISPS.2011.5898869\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Acigna-G is a new Grid Computing platform we propose, for hosting and interacting with GNU/Linux Grid applications through a web portal, without or with a minimal API use. It aims to provide a convenient Cloud Service for Medical Imagery Grid applications. It extends our GIC architecture with an implementation of a light version of the Virtually-distribution Parallel Architecture and the Multi-level Services architecture that permit the deployment of distributed Grid applications onto our platform. We propose these architecture as solutions to achieve both the convenience of PaaS Cloud services and the richness of Grid applications. We show how we deploy a MAS segmentation algorithm for Medical Imagery onto our Acigna-G platform.\",\"PeriodicalId\":305060,\"journal\":{\"name\":\"2011 10th International Symposium on Programming and Systems\",\"volume\":\"386 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 10th International Symposium on Programming and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPS.2011.5898869\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 10th International Symposium on Programming and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPS.2011.5898869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toward a Cloud Architecture for Medical Imagery Grid applications : The Acigna-G Project
Acigna-G is a new Grid Computing platform we propose, for hosting and interacting with GNU/Linux Grid applications through a web portal, without or with a minimal API use. It aims to provide a convenient Cloud Service for Medical Imagery Grid applications. It extends our GIC architecture with an implementation of a light version of the Virtually-distribution Parallel Architecture and the Multi-level Services architecture that permit the deployment of distributed Grid applications onto our platform. We propose these architecture as solutions to achieve both the convenience of PaaS Cloud services and the richness of Grid applications. We show how we deploy a MAS segmentation algorithm for Medical Imagery onto our Acigna-G platform.