Ubiquity and need-to-know: two principles of data distribution

A theoretical and an implementation oriented research project1) 2) with respect to data distribution in Flexible Manufacturing Systems (FMS) revealed a fundamental problem of data management, treated introductory and in some detail, but not basically in a series of papers (1), (2), (3), (4). Data requirements in highly adaptive manufacturing areas are entirely different froth more conservative applications in the service business (banking, insurance, traffic, public administration, etc.). Two categories may be distinguished: • the principle of ubiquity and • the needto-know principle It is a primary application design decision in distributed systems to determine according to what principle data consumers and data producers exchange their data entities. The technical problem is how to support comprehensively both principles by a distributed data management systems.

[1]  Hartmut Wedekind,et al.  Data Distribution in Manufacturing Systems , 1987, IEEE International Conference on Distributed Computing Systems.

[2]  Hartmut Wedekind,et al.  Implementation of a distributed data management system for manufacturing applications-a feasibility study , 1988, [Proceedings] 1988 International Conference on Computer Integrated Manufacturing.

[3]  Hartmut Wedekind,et al.  Prefetching in realtime database applications , 1986, SIGMOD '86.

[4]  Hamid Pirahesh,et al.  A snapshot differential refresh algorithm , 1986, SIGMOD '86.

[5]  Hartmut Wedekind,et al.  Conceptual basis for database applications in flexible manufacturing systems (FMS) , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.