An Extended Orthogonal Variability Model for Metadata-Driven Multitenant Cloud Services
An Extended Orthogonal Variability Model for Metadata-Driven Multitenant Cloud Services
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DOI：
10.1109/apsec.2013.53
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发表时间：
2013-12
期刊：
影响因子：
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通讯作者：
M. Aoyama;Nozomi Kurono
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文献类型：
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作者：
M. Aoyama;Nozomi Kurono
用于多元云服务的元数据驱动的体系结构是一类重要的云计算体系结构。它可以使服务在单个实例上的动态变异性，以在多个租户之间拥抱各种要求。它不需要开发应用程序，而要根据个人租户的要求在运行时通过元数据Web API生成应用程序。需求之间的差异使得多款服务的设计变得复杂。为了设计多端服务的可变性，本文提出了一个OVM（正交可变性模型）的扩展模型，以模拟两个级别的变异性及其依赖性：元级别和基础级别。我们通过salesforce.com上的force.com上的申请服务开发扩展OVM的有效性。
A metadata-driven architecture for multitenant cloud services is an important class of cloud computing architectures. It enables dynamic variability of services on a single instance for embracing diverse requirements among multiple tenants. It does not require to develop applications, but to generate applications through metadata Web APIs at runtime according to individual tenant's requirements. The variability among requirements makes the design of multitenant services complicated. To design the variability of multitenant services, this article proposed an extended model of OVM (Orthogonal Variability Model) to model variability and their dependencies at two levels: meta-level and base-level. We demonstrate the effectiveness of the extended OVM through a case study of the development of an application service on Force.com from Salesforce.com.