Xiaolong Yang

Title: Innovations by Xiaolong Yang

Introduction

Xiaolong Yang is an accomplished inventor based in Sunnyvale, California. He has made significant contributions to the field of network optimization, particularly in large-scale environments. His innovative approach focuses on enhancing the efficiency of network monitoring systems.

Latest Patents

Xiaolong Yang holds a patent for a "Scalable and low computation cost method for optimizing sampling/probing in a large scale network." This patent outlines systems and techniques for monitoring large-scale networks, such as those supporting cloud infrastructures. The invention allows for the setting of a minimum fixed probe allocation and/or a sampling budget for effective monitoring. It optimizes probing and sampling strategies to measure network metrics, including error metrics related to latency, with known accuracy based on specific probe allocations. The techniques leverage efficient probing strategies while conserving computing resources, utilizing a scalable and near-optimal approximation technique based on the Frank-Wolfe algorithm.

Career Highlights

Xiaolong Yang is currently employed at Google Inc., where he applies his expertise in network systems. His work has been instrumental in advancing the capabilities of cloud infrastructure monitoring.

Collaborations

Xiaolong has collaborated with notable colleagues, including Christophe Diot and Muhammad Jehangir Amjad. Their combined efforts contribute to the innovative projects at Google Inc.

Conclusion

Xiaolong Yang's contributions to network optimization reflect his commitment to innovation and efficiency in technology. His patent demonstrates a significant advancement in monitoring large-scale networks, showcasing his role as a leading inventor in this field.