王晓芳,谢仲文,李彤,成蕾,郑交交,刘晓芳.一种带租户演化容忍度的SaaS服务演化一致性判定方法[J].计算机科学,2018,45(5):147-155
一种带租户演化容忍度的SaaS服务演化一致性判定方法
Saas Service Evolution Consistency Checking with Tenant Tolerance
投稿时间:2017-03-07  修订日期:2017-06-05
DOI:10.11896/j.issn.1002-137X.2018.05.025
中文关键词:  租户演化容忍度,服务演化,演化一致性,定量计算
英文关键词:Tenant tolerance,Service evolution,Evolution consistency,Quantitative calculation
基金项目:本文受国家自然科学基金项目(61379032,61662085)资助
作者单位E-mail
王晓芳 云南大学软件学院 昆明650091 1922657476@qq.com 
谢仲文 云南大学软件学院 昆明650091
云南大学软件工程重点实验室 昆明 650091 
xiezw56@126.com 
李彤 云南大学软件工程重点实验室 昆明 650091  
成蕾 云南大学软件学院 昆明650091  
郑交交 云南大学软件学院 昆明650091  
刘晓芳 云南大学软件学院 昆明650091  
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中文摘要:
      随着云技术的不断发展与成熟,软件即服务(SaaS)模式成为未来软件应用发展的主要趋势。在多元开放的网络生态环境中,SaaS服务若要有效应对用户需求及外部变化,就须具备演化能力。演化一致性 是指服务在演化后能保有原基础及与其他服务正常交互的能力。目前对演化一致性的判定多偏向于定性分析,且往往忽略了租户的感受,没有既定的显式标准对一致性进行定量度量并判定。针对此问题,从SaaS多租户单实例的应用模式出发,分层次细粒度地建立服务实例描述模型,引入一致性度量值来表示定量计算的结果,充分考虑租户的演化要求,提出一种带租户演化容忍度的判定方法,细粒度地判定演化一致性。最后,结合SaaS应用案例,采用所提方法对演化一致性进行分析判定,实际应用的反馈情况验证了该方法的可行性和有效性。
英文摘要:
      With the development and maturity of cloud computing technology,software as a service(SaaS)has become the main trend of software application.In multivariate open network of ecological environment,in order to effectively respond to user needs and external environment,SaaS service must possess evolution capacity. Being short of uniform standard and having no established explicit standard to quantitatively measure,the judgment of the consistency checking often overlooks the feel of tenant.In response to these shortages,this paper focused on tenant demand which is the core of SaaS,proposed a description model for SaaS service in aspects of structural layer and non-functional layer.Based on the model,it took full account of the evolutionary needs of tenants and introduced the extent of evolution consistency to analyze evolution consistency quantitatively.After that,it proposed three-tier method of consistency checking.At last,this method was used to judge the evolution consistency combining with SaaS application case,and the feasibility and validity of the method were verified according to the actual application feedback.
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