论文部分内容阅读
软件即服务(SaaS)作为一种新型的软件运营模式得到了越来越多的认可,并将成为云计算时代主要的软件运营方式.为了满足SaaS租户的个性化定制需求,本文从SaaS的多租户特性出发提出一种基于RGPS需求元建模框架的创新的服务模型,并详细阐释了在该框架上,通过将资源的碎片化,实现可定制、可信性以及系统规模可伸缩性来实现SaaS多租户服务.然后基于云模型给出其量化方法,最后提出一种基于场理论的服务发现方法,它能够将量化后的SaaS服务精化为一组特征值来实现服务发现.经实验验证,该方法能够解决RGPS需求元建模框架的高维问题,增强服务聚类能力,改善系统的性能.
As a new software operating mode, SaaS is more and more recognized and will become the main software operation mode in the era of cloud computing.In order to meet the demand of personalized customization of SaaS tenants, This paper proposes an innovative service model based on the RGPS demand meta-modeling framework and expounds in detail how to achieve this framework through the fragmentation of resources, customizable, credible and system-scale scalability SaaS multi-tenant service.Secondly, based on the cloud model, a quantitative method is given, and finally a service discovery method based on field theory is proposed, which can refine the quantized SaaS service into a set of eigenvalues to realize service discovery. , This method can solve the high dimensional problem of RGPS demand meta-modeling framework, enhance service clustering ability and improve system performance.