SaaS支撑框架及关键技术研究

张小东; 战德臣; 聂兰顺; 孟凡超

doi:10.3969／j.issn.1000-0801.2013.12.012

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SaaS支撑框架及关键技术研究

云计算专栏 | 更新时间：2024-06-05

- SaaS支撑框架及关键技术研究
- Research on SaaS Support Architecture and Key Technologies
- 电信科学 2013年29卷第12期页码：72-81
- 作者机构：
  
  1. 哈尔滨工业大学计算机科学与技术学院哈尔滨150001
  2. 哈尔滨工业大学（威海）计算机科学与技术学院威海264209
- 作者简介：
  
  [ "张小东，男，哈尔滨工业大学博士研究生，主要研究方向为云服务平台框架及其关键技术。" ]
  [ "战德臣，男，哈尔滨工业大学教授、博士生导师，主要研究方向为服务工程与服务计算、软件工程。" ]
  [ "聂兰顺，男，博士，哈尔滨工业大学副教授，主要研究方向为信息物理系统、资源调度、优化方法等。\t\t" ]
  [ "孟凡超，男，博士，哈尔滨工业大学（威海）副教授，CCF 高级会员，主要研究方向为软件体系结构、云计算。\t\t" ]
- 基金信息：
  
  国家科技支撑计划基金资助项目(2012BAF12B16);国家自然科学基金资助项目(61273038);山东省科技攻关项目(2010GZX20126);山东省科技攻关项目(2010GGX10104);山东省科技攻关项目(2010GGX10116);威海—哈工大共建项目(2011DXZJ07)
- DOI：10.3969／j.issn.1000-0801.2013.12.012
  中图分类号：
- 网络出版日期：2013-12，
  
  纸质出版日期：2013-12-20
- 稿件说明：
移动端阅览
张小东, 战德臣, 聂兰顺, 等. SaaS支撑框架及关键技术研究[J]. 电信科学, 2013,29(12):72-81.

Xiaodong Zhang, Lanshun Nie, Fanchao Meng. Research on SaaS Support Architecture and Key Technologies[J]. Telecommunications science, 2013, 29(12): 72-81.
张小东, 战德臣, 聂兰顺, 等. SaaS支撑框架及关键技术研究[J]. 电信科学, 2013,29(12):72-81. DOI： 10.3969／j.issn.1000-0801.2013.12.012.

Xiaodong Zhang, Lanshun Nie, Fanchao Meng. Research on SaaS Support Architecture and Key Technologies[J]. Telecommunications science, 2013, 29(12): 72-81. DOI： 10.3969／j.issn.1000-0801.2013.12.012.

摘要

当前主流的PaaS和IaaS对于SaaS的支持存在一些问题：个性化定制因缺少语义关联而无法深入进行；以虚拟机或整体应用为单位的粗粒度管理在扩展时容易造成资源浪费；缺少对第三方SaaS在多租户方面的支持。为此，以SaaS构件为管理单位提出了BIRISF，提高了管理的精细度，以分散热点方式进行扩展，减少了资源的浪费，通过建立领域模型与知识库支持SaaS的深度定制，并采用散列一致性反馈算法和三阶段动态扩展策略解决SaaS在扩展与性能方面的问题。经过在国际海运物流领域的应用，验证了BIRISF在开发、运维及性能方面均优于经典的多层架构。

Abstract

There are some problems about SaaS supported by the popular PaaS and IaaS: customizing SaaS is commonly not done deeply without semantic association; sources are wasted when SaaS applications are scaled by VM and whole application unit; SaaS applications developed by the 3rd party software vendors are not enough supported in multi-tenancy. So BIRISF was presented. Management was improved finely in way of managing SaaS components. SaaS applications were extended and waste of sources was reduced by spreading hot components on different nodes. An oriented-domain model and knowledge database were built to support to customize SaaS deeply. The problems of performance and scalability by consistent hashing feedback algorithm and three stages of dynamical extending and deploying strategy were solved. It was proved that BIRISF was superior to the classical multi-tier architecture in development

operations

maintenance and performance because of BIRISF applied successful in international shipping logistics.

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Keywords

references

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