Scalable Enterprise Systems: Network-Based Distributed Relational Decision Framework for Scalable Enterprise Systems

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的变化。软件、网络和数据库系统中的创新使广泛分布的组织能够集成活动、共享信息、在决策上协作和执行事务。虽然可以采用和实现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，但很少有集中的研究来提供支持这些开发的科学基础。这个探索性项目开发了一个新的框架来支持基于网络的可扩展系统中的企业级决策。本探索性研究将探讨：(1)基本原理，(2)架构，(3)仿真与评估，以及(4)设计-供应商-制造决策案例研究中的应用，并以印刷电路板组装行业的工业合作者为例。这种方法的基本原则是，一组分布的、逻辑上相互关联的数据库上的决策任务可以在底层分布式数据库管理系统（DBMS）的语义中进行强制转换。在这种形式中，增强的关系决策框架利用了关系DBMS模型固有的规范化和分解原则，而决策过程被视为关系模式的实例化，由此产生的标准形式层次结构和数据依赖关系的表示构成了该过程。该项目的成果为一类新的企业级软件系统提供了本地自治、可靠性、改进的性能、可伸缩性、可共享性、数据机密性和有效的软件支持等优势。

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. This exploratory project develops a new framework to support enterprise-level decision-making in network-based scalable systems. This exploratory study will address: (1) Basic Principles, (2) Architectures, (3) Simulation and Evaluation, and (4) Applications in the case study of design-supplier-manufacturing decisions with examples drawn from industrial collaborators in the printed circuit board assembly industry. The fundamental principle of this approach asserts that decision tasks over a set of multiple, distributed, logically interrelated databases may be cast in the semantics of the underlying distributed database management system (DBMS). In this form, the augmented relational decision framework takes advantage of the principles of normalization and decomposition that are inherent to the relational DBMS model, while the decision process is viewed as an instantiation of the relational schema, and the resulting representation of normal form hierarchies and data dependencies structures the process. The outcomes of this project 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.