Alvar Aalto and Japan: Mutual Discovery of Environmental Integration Architecture Idioms

2021 ◽  
Author(s):  
Evgeny Pyshkin
2015 ◽  
Vol 23 (1) ◽  
pp. 173-180 ◽  
Author(s):  
Na Luo ◽  
Weimin Zhong ◽  
Feng Wan ◽  
Zhencheng Ye ◽  
Feng Qian

2021 ◽  
Vol 6 (1) ◽  
pp. 44-53
Author(s):  
Norziana Yahya ◽  
Mohd Azahani Md Taib

One of the major issues in system integration is to deal with interoperability of legacy systems which use traditional System Integration Patterns (SIP). Information are unable to exchange effectively when the systems involved comes from developer that tended to not interoperate and this leads to the interoperability problem in heterogeneous system integration. To address the interoperability issues, interfacing processes need to be made more easily by defining components, processes, and interfaces that affect the system integration architecture at the initial design stage. This paper includes a basic concept on types of traditional SIP covering File-Based, Common Database, Remote Procedure Call (RPC), Distributed Objects, and Messaging. An overview of three Service Interface Design (SID) approaches for systems interoperability is discussed. The discussions on these approaches serve as a basis for the solution of interoperability of heterogeneous systems which use traditional SIP.


2013 ◽  
Vol 849 ◽  
pp. 298-301
Author(s):  
Gui Yang Jin ◽  
Fu Zai Lv ◽  
Zhan Qin Xiang

Modern enterprises consist of complex business systems. These systems need to be integrated to support enterprises operation. The SOA and ESB become an important enterprise integration architecture style for designing and implementing integration systems. But there are some limitations of todays ESB framework, such as only syntactic description of service interface, inability to perform semantic mediation and incapable process knowledge management. Therefore developers need deep and intimate knowledge to develop integration systems. We introduce an ontology-based semantic annotation approach to enrich and reconcile semantics of data, services and process models on ESB that enables data, service and process models interoperability on the semantic level through common domain ontologies.


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