This inventor holds 1 USPTO granted patent. Top assignee: University of Utah Research Foundation. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Ryan Stutsman: Innovator in Cloud-Based Applications
Introduction
Ryan Stutsman is an accomplished inventor based in Salt Lake City, UT. He has made significant contributions to the field of cloud computing, particularly in the area of memory-intensive applications. His innovative approach to resource allocation has the potential to enhance the efficiency of cloud services.
Latest Patents
Ryan holds a patent for "Auto-scaling cloud-based memory-intensive applications." This invention introduces improved techniques for dynamically responding to fluctuating workloads. The system allows resources to be reactively scaled for memory-intensive applications, automatically adapting to changes in workload without the need for pre-specified thresholds. A miss ratio curve (MRC) is generated based on application runtime statistics and modeled as a hyperbola. An area on this hyperbola is identified to satisfy a flatten threshold, leading to the establishment of a resource allocation threshold. This threshold indicates how many resources should be provisioned for the application, which are then scaled using a resource scaling policy based on the allocation threshold.
Career Highlights
Ryan is affiliated with the University of Utah Research Foundation, where he applies his expertise in cloud computing and resource management. His work has been instrumental in advancing the capabilities of cloud-based applications.
Collaborations
Ryan collaborates with notable colleagues such as Joe H Novak and Sneha Kumar Kasera, contributing to a dynamic research environment focused on innovative solutions in technology.
Conclusion
Ryan Stutsman is a key figure in the development of advanced cloud-based applications, with a patent that showcases his innovative thinking and technical expertise. His contributions are paving the way for more efficient resource management in the cloud computing landscape.
