Craig William Fellenstein

Evolution of grid computing architecture and grid adoption models

During recent years, we have witnessed a major paradigm shift in distributed computing principles, with a focus towards service orientation, open standards integration, collaboration, and virtualization. One particular area of interest centers on the evolution of grid computing principles into the mainstream of distributed computing and Web services. In this paper, we focus our analysis on this evolution and the significance of achieving some form of standardization of grid-computing architecture principles. This paper presents the technology standards that are driving major grid initiatives and explains in simple terms how these standards and technologies are aligned with the IBM on demand business concepts. In addition, we discuss the recent Web services specifications related to stateful resources (i.e., resources whose behavior is defined with respect to their underlying state) and how these standards relate to grid computing. We conclude with discussions exploring major aspects of grid-computing adoption models and some significant attributes that influence the transformation, collaboration, and virtualization features of these models.

A prototype manufacturing knowledge base in Syllog

This paper describes a prototype knowledge base for manufacturing planning, which we have built using a knowledge system shell called Syllog. We describe a Tester Capacity Planning and Yield Analysis task, knowledge needed for a part of the task, and the use of the knowledge in the Syllog system. We report that the sometimes difficult process of knowledge acquisition turned out, in this case, to be straightforward. Knowledge acquisition and knowledge use are done in the same language in Syllog.