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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.


Papers
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Book ChapterDOI
20 Jun 2005
TL;DR: The basic concepts for a dynamic architecture modeling using nets-within-nets, a powerful formalism that allows active elements, i.e. nets, to be nested in arbitrary and dynamically changeable hierarchies, are presented.
Abstract: Current modeling techniques are not well equipped to design dynamic software architectures. In this work we present the basic concepts for a dynamic architecture modeling using nets-within-nets. Nets-within-nets represent a powerful formalism that allows active elements, i.e. nets, to be nested in arbitrary and dynamically changeable hierarchies. Applying the concepts from nets-within-nets, therefore, allows us to model complex dynamic system architectures in a simple way, which enables us to design the system at different levels of abstractions using refinements of net models. Additionally to the conceptual modeling of such architecture, we provide a practical example where the concept has been successfully applied in the development of the latest release of Renew (Version 2 of the multi-formalism Petri net IDE). The overall monolithic architecture has been exchanged with a system that is divided into a plug-in management system and plug-in's that provide functionality for the users. By combining plug-ins the system can be adapted to the users' needs. Through the introduction of the Petri net concepts, the new architecture is now – at runtime – dynamically extensible by registering plug-ins with the management system. The introduced architecture is applicable for any kind of architecture but most suitable for applications with dynamic structure.

71 citations

01 Jan 2013
TL;DR: The presented work intends to provide a consolidated view of the Big Data phenomena and related challenges to modern technologies, and initiate wide discussion on a nature of Big Data that may originate from different scientific, industry and social activity domains.
Abstract: Big Data are becoming a new technology focus both in science and in industry and motivate technology shift to data centric architecture and operational models. There is a vital need to define the basic information/semantic models, architecture components and operational models that together comprise a so-called Big Data Ecosystem. This paper discusses a nature of Big Data that may originate from different scientific, industry and social activity domains and proposes improved Big Data definition that includes the following parts: Big Data properties ( also called Big Data 5V: Volume, Velocity, Variety, Value and Veracity), data models and structures, data analytics, infrastructure and security. The paper discusses paradigm change from traditional host or service based to data centric architecture and operational models in Big Data. The Big Data Architecture Framework (BDAF) is proposed to address all aspects of the Big Data Ecosystem and includes the following components: Big Data Infrastructure, Big Data Analytics, Data structures and models, Big Data Lifecycle Management, Big Data Security. The paper analyses requirements to and provides suggestions how the mentioned above components can address the main Big Data challenges. The presented work intends to provide a consolidated view of the Big Data phenomena and related challenges to modern technologies, and initiate wide discussion.

71 citations

Book ChapterDOI
24 Sep 2007
TL;DR: A concern-driven measurement framework for assessing architecture modularity that encompasses a mechanism for documenting architectural concerns, and a suite of concern-oriented architecture metrics is proposed.
Abstract: Much of the complexity of software architecture design is derived from the inadequate modularization of key broadly-scoped concerns, such as exception handling, distribution, and persistence. However, conventional architecture metrics are not sensitive to the driving architectural concerns, thereby leading a number of false positives and false negatives in the design assessment process. Therefore, there is a need for assessment techniques that support a more effective identification of early design modularity anomalies relative to crosscutting concerns. In this context, this paper proposes a concern-driven measurement framework for assessing architecture modularity. It encompasses a mechanism for documenting architectural concerns, and a suite of concern-oriented architecture metrics. We evaluated the usefulness of the proposed framework while comparing the modularity of architecture design alternatives in three different case studies.

70 citations

Journal ArticleDOI
TL;DR: It is argued that there is no fundamental distinction between architectural decisions and architecturally significant requirements and this new view on the intrinsic relation between architecture and requirements allows us to identify areas in which closer cooperation between the Architecture and requirements engineering communities would bring advantages for both.

69 citations


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