Jonathan D Nordby

Title: Innovations of Jonathan D Nordby

Introduction

Jonathan D Nordby is an accomplished inventor based in Monument, Colorado. He has made significant contributions to the field of distributed computing, showcasing his expertise through his innovative patent.

Latest Patents

Jonathan holds a patent for a "Distributed computing system having hierarchical organization." This patent describes a distributed computing system that adheres to a multi-level, hierarchical organizational model. The system features one or more control nodes that facilitate the efficient and automated allocation and management of computing functions and resources. The organizational model consists of four distinct levels: fabric, domains, tiers, and nodes. These levels provide logical abstraction and containment of the physical components, as well as system and service application software of the enterprise. System administrators interact with the control nodes to define the hierarchical organization of the distributed computing system. The control nodes manage all levels in accordance with the model, including fabric management, domain creation, tier creation, and node allocation and deployment. Jonathan's innovative approach enhances the efficiency and effectiveness of distributed computing systems.

Career Highlights

Jonathan is currently employed at Computer Associates Think, Inc., where he continues to develop and refine his ideas in the realm of computing technology. His work has positioned him as a notable figure in the industry, contributing to advancements that benefit various sectors.

Collaborations

Throughout his career, Jonathan has collaborated with talented individuals such as James D Engquist and Craig Andrew Vosburgh. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Jonathan D Nordby is a prominent inventor whose work in distributed computing has made a lasting impact. His patent reflects a deep understanding of hierarchical organizational models, paving the way for more efficient computing systems. His contributions continue to influence the field and inspire future innovations.