Thesis (Ph. D.)--University of Pennsylvania, 1982. / Cover title. Includes bibliographical references and index.

Thesis (Ph. D.)--Worcester Polytechnic Institute. / Keywords: Meta modeling; schema change; frameworks; integration; schema heterogeniety; schema modeling. Includes bibliographical references (p. 381-395).

Thesis (M.Sc.)--York University, 2008. Graduate Programme in Science. / Typescript. Includes bibliographical references (leaves 223-232). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR45965

Thesis (Ph. D.)--State University of New York at Buffalo, 1994. / Includes bibliographical references (leaves 276-279). Also available in print.

Thesis (M.S.)--University of Florida, 2000. / Title from first page of PDF file. Document formatted into pages; contains v, 111 p.; also contains graphics. Vita. Includes bibliographical references (p. 106-110).

We present storage organization schemes and a tuple density model of a relation, for the efficient processing of information in a relational database. The underlying concept used in the design of the storage schemes and the density model is that of a multidimensional array. These organizational schemes are: Multidimensional Paging, Dynamic Multipaging, and two dynamic multidimensional hashing schemes, DMHL and DMHE. The DMHL and DMHE schemes are the respective extensions of linear hashing and extendible hashing for multidimensional data organization. Storage mapping functions for extendible arrays are developed as the page addressing functions in the dynamic multidimensional structures. Performance of the multipaging schemes are examined through empirical studies. / We show how relations are structured with these organizational methods to provide symmetric access to the data on any combination of attributes. Further we derive size estimation formulae for the result of the various relational operations using the density model.

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Despite its emergence more than a decade ago, information architecture remains a problematic concept. A study of relevant literature suggests significant advocacy with inadequate supporting evidence on its existence, application or value. The available limited research evidence generally presents unsatisfactory information architecture experience. Notwithstanding the unresolved issues and reported unsatisfactory experience, information architecture continues to be referenced as an important information management issue. Hence this doctoral study sought to investigate it. In the first stage, the study set out to clarify the position of information architecture via a large scale postal survey of 294 organisations. The survey found that information architecture is being used in association with IS planning, particularly in organisations which position IT as a strategic resource, but perceptions on its two conventional key components vary. While application architecture is viewed as being useful for IS planning, corporate data model is seen as being more relevant to data management and project implementation. Both models are regarded as tools facilitating integrated information systems development. In the second stage of research, case studies on 6 large organisations were conducted to gain an in-depth understanding of successful information architecture practice. The investigation reaffirmed application architecture's position as an IS planning tool and cast further doubt on corporate data model's role not only in IS planning but also in IS practice as a whole. Business area/project data model was identified as the pragmatic high-level data model for both application/database development and data management. A major finding of the case studies was on business system architecture, a pictorial model depicting IT in its business setting. It is seen as being of value for integrating IS planning with strategy development and business planning - a tool for fusing IT with the business. The case studies concluded that the value and effectiveness of information architecture is dependent on the targeting of its components - business system architecture, application architecture and business area/project data model - in terms of tasks and recipients. The case for a holistic approach to business/IS planning and implementation is currently being argued by a number of leading management and IS scholars. This thesis embraces the holistic approach and positions the (redefined) information architecture as a valuable tool in its implementation.

The data flow machine, which represents a radical departure from the conventional von Neumann architecture, shows great potential as a candidate for the future generation of computers. The difficulty in the usage of data structures as well as the effective exploitation of parallelism are two issues which have not as yet been fully resolved within the framework of the data flow model. / This thesis concentrates on these important problems in the following manner. Firstly, the role memory can play in a data flow system is examined. A new concept called "active memory" is introduced together with various new actors. It is shown that these enhancements make it possible to implement a limited form of shared memory which readily supports the use of data structures. / Secondly, execution performance of data flow programs is examined in the context of conditional statements. Transformations applied to the data flow graph are presented which increase the degree of parallelism. Analysis, both theoretical and empirical, is performed, showing that substantial improvements are obtained with a minimal impact on other system components.