计算机科学 ›› 2014, Vol. 41 ›› Issue (6): 188-192.doi: 10.11896/j.issn.1002-137X.2014.06.037

• 人工智能 • 上一篇    下一篇

企业云应用演进策略多时段分析

殷星,周剑雄,王明哲   

  1. 华中科技大学自动化学院 武汉430074;华中科技大学自动化学院 武汉430074;华中科技大学自动化学院 武汉430074
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金项目:基于行为的SoS体系结构评价研究(61273207)资助

Multi-epoch Analysis to Evolution Strategy of Enterprise Cloud Computing Application

YIN Xing,ZHOU Jian-xiong and WANG Ming-zhe   

  • Online:2018-11-14 Published:2018-11-14

摘要: 随着云计算技术的发展,企业急需一种有效方法将原本孤立的应用系统向云平台迁移。将网络层次分析法(ANP)及其超级矩阵收敛过程应用于企业云应用演进计划制定,提出一个演进策略的多时段分析方法。通过对企业云应用体系结构的建模与仿真分析,构建ANP多属性决策模型,解析超级矩阵从初始状态到极限状态的收敛过程,挖掘各云应用系统的分时段关键性影响因素,为企业的整体演进策略提供支持。最后,通过一个案例展示多时段分析方法的具体过程,提取出相关关键因素,为企业策略的动态规划提供理论依据。

关键词: 网络层次分析法,超级矩阵,云应用架构,演进策略,多时段分析 中图法分类号TP273文献标识码A

Abstract: With the development of cloud computing,many companies are in urgent need of an effective way to migrate the application systems from isolated state to cloud platform.By applying analytic network process (ANP) and the convergence process of supermatrix to formulate enterprise cloud computing application evolution,a multi-epoch analysis approach of evolution strategy was put forward.An ANP model of multi-attribute decision making is built by architecture modeling and simulating to the enterprise cloud computing application systems.And the multi-epoch crucial influence factors to each system are excavated by analyzing the convergence process of supermatrix from initial state to the limit.The factors are used to support the evolution of the enterprise’s strategy.At last, a case was given to show the specific process of the method,and extract the corresponding key factors to provide a theoretical basis for dynamic programming of enterprise’s strategy.

Key words: Analytic network process,Supermatrix,Cloud computing application architecture,Evolution strategy,Multi-epoch analysis

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