Western Cape, South Africa

Alan Powell


Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Alan Powell: Innovator in Cloud Resource Management

Introduction

Alan Powell is a notable inventor based in the Western Cape, South Africa. He has made significant contributions to the field of cloud computing, particularly in managing resources for performance bursting in multi-tenant environments. His innovative approach addresses the challenges faced by cloud service providers in optimizing resource allocation.

Latest Patents

Alan Powell holds a patent titled "Managing fairness of resource scheduling for performance bursting in multi-tenant environments." This patent describes techniques for managing cloud computing resources that host burstable performance instances. The invention involves a host computer system that executes burstable performance compute instances. It obtains compute capacity usage data, which includes indications of the compute capacity used by these instances. The system calculates weights inversely related to the compute capacity and updates the scheduler with process prioritization weights. This allows for efficient allocation of compute capacity based on these weights.

Career Highlights

Alan Powell is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in cloud computing. His work focuses on enhancing the efficiency and fairness of resource scheduling, which is crucial for maintaining optimal performance in multi-tenant environments.

Collaborations

Some of Alan's coworkers include Ethan John Faust and Yuxuan Liu, who contribute to the collaborative environment at Amazon Technologies, Inc. Their combined expertise fosters innovation and drives advancements in cloud technology.

Conclusion

Alan Powell's contributions to cloud computing through his patent and work at Amazon Technologies, Inc. highlight his role as a key innovator in the industry. His techniques for managing resource scheduling are essential for improving performance in multi-tenant environments.

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