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Research On MAS For Enterprise Application Integration

Posted on:2008-08-09Degree:MasterType:Thesis
Country:ChinaCandidate:F ZhaoFull Text:PDF
GTID:2178360245491814Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Multiagent System is a type of system organization that is formed by traditional artificial intelligence solving mode and distributed computing technique. By now, this type of system is widely applied in the complex system, strategic decision supporting system and enterprise information system integration. Multiagent system has its distinct advantage in the novel enterprise information system for supply chain and business flow management. This paper proposes a solution for EAI based on multiagent system.According to the characteristic of Enterprise Application Integration, we extend Agent Pattern Language(APL) to describe the business flow of the EAI based on blackboard Agent model, and make it have the capability to express complicated data objects and integrate internal service. We design and implement APL processor which can converts APL code to executable JAVA to build a complete Agent prototype system.This paper summarizes and analyzes the characteristic and main architecture model about Enterprise Application Integration, and gives a rapid and flexible solution for EAI based on a multiagent system. This solution possesses strong points of multiagent technique and solves the problems about high costs, high risks, high complexity and hard coordination in the process of EAI, and it improves development efficiency and expansibility of EAI and reduces the maintain costs of the system.At last, this paper designs and implements a representative applicatin about integating legacy systems to prove that this solution is rapid and flexible and possesses the strong points of multiagent technique. By means of the test, we get a anticipant and good result. we believe this solution can provide a new rapid and effective way for EAI.
Keywords/Search Tags:Multiagent System, EAI, APL, XML
PDF Full Text Request
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