A Cross-Platform Architecture with Intelligent Agents for Dynamic Processes and Services Composition

Author:

Pang Chung-Yeung1ORCID

Affiliation:

1. Seveco AG, Switzerland

Abstract

To meet business demands, enterprise software systems are required to be more dynamic, flexible and adaptive. Business processes must often be context-aware. Things get complicated when enterprise software systems, after a decade of evolution, comprise heterogeneous platforms and different technological stacks. This chapter presents the design and implementation of a cross-platform architecture with intelligent agents for dynamic business rules, process flows and services composition. The architecture includes an Enterprise Service Bus for service integration. Service agents are used to handle services. A Central Intelligent Agent that contains a Prolog-style rule-based engine is designed to execute business rules and processes. These agents are implemented in both Java and COBOL. Business process flows are completely rule- and context-driven. The services and components for the business processes are dynamically constructed. The proposed architecture and programming model enables fast prototyping and rapid development in an agile development process across different platforms.

Publisher

IGI Global

Reference46 articles.

1. W3C. (2012). Web Ontology Language (OWL) Primer (2nd Ed.). W3C. Retrieved September 28, 2113, from http://www.w3.org/TR/owl2-primer/

2. W3C. (2004). Resource Description Framework Primer. Retrieved September 28, 2113, from http://www.w3.org/TR/rdf-primer/

3. Agile Manifesto Group. (2001). Manifesto for Agile Software Development. Retrieved from http://agilemanifesto.org

4. Ambler, S. W. (2010). Agile Modeling. Ambysoft. Retrieved July 26, 2010, from http://www.agilemodeling.com/

5. Ambler, S. W. (2013). What Was Final Status. Retrieved March 20, 2013, from http://www.linkedin.com/groups/What-was-final-status-most-1523.S.222770182

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3