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Database-centric architecture

About: Database-centric architecture is a research topic. Over the lifetime, 1799 publications have been published within this topic receiving 48836 citations.


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Journal Article
TL;DR: Using this architecture classification scheme, several wellknown SOA-based applications are reviewed including the architectures proposed and adopted by major computer companies and standard organizations.
Abstract: The architecture of SOA-based applications is different from traditional software architecture where the architecture is mainly static. The architecture of an SOA-based application is dynamic, i.e., the application may be composed at runtime using existing services. Thus SOA has provided a new direction for software architecture study, where the architecture is determined at runtime and the architecture can be dynamically changed at runtime to meet the new software requirements. This paper proposes an architecture classification scheme for SOA-based applications. Using this classification, several wellknown SOA-based applications are reviewed including the architectures proposed and adopted by major computer companies and standard organizations. The architecture classification provides a unified way to evaluate a variety of architectures for SOA-based applications.

6 citations

Proceedings ArticleDOI
26 Aug 2002
TL;DR: A redesign of the new common control system, developed by ABB to replace several existing control systems, must incorporate support for a large number of I/O systems, communication interfaces, and communication protocols.
Abstract: When different business units of an international company are responsible for the development of different parts of a large system, a component-based software architecture may be a good alternative to more traditional, monolithic architectures. The new common control system, developed by ABB to replace several existing control systems, must incorporate support for a large number of I/O systems, communication interfaces, and communication protocols. An activity has therefore been started to redesign the system's architecture, so that I/O and communication components can be implemented by different development centers around the world. This paper reports on experiences from this. effort, describing the system, its current software architecture, the new component-based architecture, and the lessons learned so far.

6 citations

Book ChapterDOI
01 Jan 2014
TL;DR: The reframing of IA presented here has implications for the field of information architecture, its theory, its practice and the teaching thereof, but perhaps more importantly also for other fields of design that stand to gain enormous value from the application of the thinking, tools and techniques of IA to grapple with the complex problems of the authors' time.
Abstract: We live in a world of increasingly complex, interconnected, societal problems. Design Thinking (DT), as an academic concern, and amongst other disciplines, has been grappling with such problems since the 1970s in order to solve the problems facing humanity and the environment. Initially, this paper briefly introduces the discourse of design thinking before describing in reference to selected theory from the field of design thinking a brief account of the characteristics of complexity and indeterminacy within the design phases of researching, ideation and prototyping. This paper then examines the ways in which the practice of information architecture (information architecture, IA) operates in some very similar ways and how this view reframes an understanding of the practice of IA. The paper will then present three ‘illusions’ embedded in the current view of information architecture that we believe account for its misconception. The reframing of IA presented here has implications for the field of information architecture, its theory, its practice and the teaching thereof, but perhaps more importantly also for other fields of design that stand to gain enormous value from the application of the thinking, tools and techniques of IA to grapple with the complex problems of our time.

6 citations

Journal ArticleDOI
TL;DR: A combination of graph theory, Big Data and Uncertainty Quantification are foundational tools that can model architectures and more importantly the movement of data across architecture interfaces and provide a mathematical foundation for quantitative architecture, model based systems engineering and simulation environments.

6 citations

Posted Content
TL;DR: Three types of architectures of these systems are described, analyzed, and respectively compared, namely: the network architecture, the centralized architecture and the hierarchical architecture.
Abstract: This paper presents the main components of the decision assisting systems. Further on three types of architectures of these systems are described, analyzed, and respectively compared, namely: the network architecture, the centralized architecture and the hierarchical architecture.

6 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20236
202220
20216
20208
201914
201821