Scalable Enterprise Systems Phase II: Network-Based Distributed Relational Decisions Framework

这项可扩展的企业系统第二阶段项目工作将以第一阶段的工作为基础：(1)扩展关系决策框架，以支持将分布式异质数据库有效地集成到全球决策框架中；(2)利用智能代理建立共同进化搜索算法的理论，以解决多准则决策中的问题；以及(3)开发动态决策网络的综合模型，将软件算法和通信网络硬件和软件的特点结合在一起，以便评估性能和指导系统设计。信息技术的进步正在推动全球企业的流程和组织发生根本性变化。软件、网络和数据库系统的创新使分布广泛的组织能够集成活动、共享信息、协作决策和执行事务。虽然可以采用和实施许多现有的信息基础设施工具和技术来支持这些企业应用程序，但很少有重点研究为支持这些发展提供科学基础。这项研究的一个主要成果将是基于网络的分布式决策方法应用于实际工业问题并通过复杂的评估和模拟方法进行评估的综合演示。这项工作的成果为新一类企业级软件系统提供了本地自治性、可靠性、改进的性能、可伸缩性、共享性、数据保密性和高效的软件支持等优势。这一研究项目包括努力将这些想法纳入现有和新的教育方案和课程，并特别注意招募和保留代表性不足的群体。

This Scalable Enterprise Systems Phase II project effort will build upon the work in Phase I by: (1) extending the relational decision framework to support efficient integration of distributed heterogeneous databases into a global decision framework; (2) building on the theory of co-evolutionary search algorithms using intelligent agents to address issues in multi-criteria decision-making; and (3) developing a comprehensive model of dynamic decision networks, integrating characteristics of software algorithms and network hardware and software for communications in order to evaluate performance and guide system design. Advances in information technologies are driving fundamental changes in the processes and organizations of global enterprises. Innovations in software, networks, and database systems enable widely distributed organizations to integrate activities, share information, collaborate on decisions, and execute transactions. While many existing tools and techniques of information infrastructure may be adopted and implemented to support these enterprise applications, there has been little focused research to provide a scientific basis to support these developments. A major outcome of this research will be an integrated demonstration of network-based distributed decision methods applied to real industrial problems and evaluated through sophisticate evaluation and simulation methods. The outcomes of this work offer advantages of local autonomy, reliability, improved performance, scalability, shareability, data confidentiality, and efficient software support for a new class of enterprise-level software systems. This research project includes efforts to incorporate these ideas into existing and new educational programs and courses with special attention to the recruiting and retention of underrepresented groups.