Company Filing History:
Years Active: 2010
Title: Herbert D. Schwetman: Innovator in Automated Workload Characterization
Introduction
Herbert D. Schwetman is a notable inventor based in Austin, TX, who has made significant contributions to the field of application server technology. With a focus on improving resource measurement frameworks, Schwetman's work has implications for optimizing application performance and resource utilization.
Latest Patents
Schwetman holds a patent for a "System and method for automated workload characterization of an application server." This innovative patent describes a framework that allows an application server to collect resource usage data regarding request processing. The framework is designed to gather hardware and software resource usage data at various interception points between application components and services. By instrumenting these interfaces, the framework can collect resource usage data even from applications that lack built-in resource measuring capabilities. The collected data can then be parsed and combined to create a comprehensive characterization of resource usage corresponding to the application server's request processing.
Career Highlights
Herbert D. Schwetman is currently employed at Oracle America, Inc., where he continues to develop and refine technologies that enhance application server performance. His work is instrumental in advancing the capabilities of application servers, making them more efficient and effective in handling workloads.
Collaborations
Some of Schwetman's notable coworkers include Darpan Dinker and Jan L. Bonebakker, who contribute to the collaborative environment at Oracle America, Inc. Their combined expertise fosters innovation and drives the development of cutting-edge technologies.
Conclusion
Herbert D. Schwetman's contributions to automated workload characterization represent a significant advancement in application server technology. His innovative patent and ongoing work at Oracle America, Inc. highlight his commitment to improving resource measurement and application performance.