一种基于扩展MVVM模式的SaaS面向服务计算模型  

Service-oriented Computing Model for SaaS with Extended MVVM Pattern

作　　者：陈明[1,2] 李猛坤[1] 张强[1] 

机构地区：[1]中国石油大学(北京)计算机科学与技术系,北京102249 [2]首都师范大学信息工程学院,北京100048

出　　处：《微电子学与计算机》2010年第8期27-30,共4页Microelectronics & Computer

摘　　要：针对在SaaS系统中资源服务按需推送时,海量数据分析处理对平台造成处理压力超负荷的问题,对标准MVVM模式进行扩展,在Web端增加业务逻辑处理模块,并在此模块中部署SOC(Service-Oriented Computing)环境,设计一个针对SaaS系统的SOC模型,用以支撑对资源服务质量评估的业务逻辑处理.该模型使得用户在以Web的方式享受云服务的同时,向云计算平台贡献了本地的计算能力.实验证明,该模型可以有效地降低资源服务推送对SaaS平台造成的处理压力,同时提高了服务质量,并增强了系统的可扩充性.Since resource service is provided for requirement in SaaS system, platform is overloaded by processing mass data. It extends standard MVVM pattern, and increases processing module on Web, and deploys Service-Oriented Computing environment in the module. In this paper, SOC model is designed to be used for logical processing of quality assessment of resource service. This model makes users utilize Cloud Computing service by means of Web and contributes to Cloud Computing platform. Preliminary experiments reveal that, by using this model, processing pressure of SaaS platform providing resource service is reduced effectively. At one time, service quality is improved and systemic extendibility is enhanced.

关 键 词：云计算 MVVM模式 面向服务计算模型 资源服务 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]