Alignment of application architecture to business architecture is a central problem in the design, acquisition and implementation of information systems in current large-scale information-processing organizations. Current research in architecture alignment is either too strategic or too software implementation-oriented to be of use to the practicing information systems architect. This paper presents a framework to analyze the alignment problem and operationalizes this as an approach to application architecture design given a business context. We summarize guidelines for application architecture design and illustrate our approach and guidelines with an example.
This paper presents a framework for architecture alignment that can be positioned between approaches for software architecture, which concern software artefacts only, and strategic alignment models, which have a business focus. The framework is currently applied in case study research to find alignment patterns used in practice. First results presented in this paper indicate that the framework might yield an operationalization of strategic architecture alignment models. We also present an alignment pattern which shows a difference between how architectures are designed at the application level and the infrastructure level. We think this difference is significant for practical alignment models.
Recently, extensions for relatlonal database management systems (DBMS) have been proposed to support also herarch& structures (complex objects) These extensions have been mamly unplemented on top of an exlstmg DBMS Such an approach leads to many dlsadvantages not only from the conceptual pomt of view but also from performance aspects Thus paper reports on a 3-year effort to design and prototype a DBMS to support a generahzed relatlonal data model, called extended NFZ (Non Fist Normal Form) data model which treats flat relations, hyts, and hlerarctical structures m a umform way The log& data model, a language for thts model, and altematlves for storage structures to unplement generabzed relations are presented and discussed
An important problem in the physical design of databases is the selection of secondary indices. In general, this problem cannot be solved in an optimal way due to the complexity of the selection process. Often use is made of heuristics such as the well-known ADD and DROP algorithms. In this paper it will be shown that frequently used cost functions can be classified as super-or submodular functions. For these functions several mathematical properties have been derived which reduce the complexity of the index selection problem. These properties will be used to develop a tool for physical database design and also give a mathematical foundation for the success of the before-mentioned ADD and DROP algorithms.
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