This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2013-2014.
Company Filing History:
Years Active: 2013-2014
Title: Innovations by William Waller
Introduction
William Waller is an accomplished inventor based in Laurel, MD (US). He has made significant contributions to the field of data stream processing, holding 2 patents that showcase his innovative approach to technology. Waller's work primarily focuses on creating systems that enhance the efficiency and effectiveness of data processing across various platforms.
Latest Patents
Waller's latest patents include a "Method for the interoperation of virtual organizations" and a "Method and apparatus for cooperative data stream processing." The first patent describes a cooperative data stream processing system that utilizes multiple independent and autonomous sites to process user-defined job requests over dynamic, continuous streams of data. This system allows for the organization of distributed sites into virtual organizations that can be dynamically created and managed. The second patent outlines a similar cooperative data stream processing system, emphasizing the negotiation of peering relationships among sites to share data and processing resources effectively.
Career Highlights
William Waller is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in data processing. His work at IBM has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.
Collaborations
Some of Waller's notable coworkers include Michael J Branson and Frederick Douglis. Their collaborative efforts have played a crucial role in advancing the projects they work on together.
Conclusion
William Waller's innovative patents and contributions to data stream processing highlight his expertise and commitment to advancing technology. His work at IBM and collaborations with other professionals continue to shape the future of data processing systems.
