{"title":"Resource sharing platform architecture — Service oriented design lab environment","authors":"Shkumbin Fida, B. Çiço, Agon Memeti","doi":"10.1109/MECO.2014.6862718","DOIUrl":null,"url":null,"abstract":"Sharing the computational resources for laboratory needs is not an easy task. Most of educational institutions are following traditional approach to configure their laboratories. Doing so, they are force to lock and bind a single technology to a dedicated laboratory. The proposed service oriented resource sharing platform is trying to avoid this problem and at the same time is trying to elevate the lab configuration on the next level. The platform design offers flexible computational lab resource sharing scenarios while computational resources are shared as a template service based on course criteria requirements. The proposed platform delivers flexibility, convergence and empowers user experience while the platform architecture design offers scalable computational resource sharing model. Sharing computational resources as a template service allows similar courses to collaborate with each other using and sharing the same computational resources simultaneously.","PeriodicalId":416168,"journal":{"name":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2014.6862718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Sharing the computational resources for laboratory needs is not an easy task. Most of educational institutions are following traditional approach to configure their laboratories. Doing so, they are force to lock and bind a single technology to a dedicated laboratory. The proposed service oriented resource sharing platform is trying to avoid this problem and at the same time is trying to elevate the lab configuration on the next level. The platform design offers flexible computational lab resource sharing scenarios while computational resources are shared as a template service based on course criteria requirements. The proposed platform delivers flexibility, convergence and empowers user experience while the platform architecture design offers scalable computational resource sharing model. Sharing computational resources as a template service allows similar courses to collaborate with each other using and sharing the same computational resources simultaneously.