Abstract
Google owns and operates one of the world's largest networks, supporting billions of users. Today, this network not only supports the users of Google's various applications such as Search, Youtube, Gmail and Maps, it also forms a critical part of the infrastructure supporting enterprise customers of the Google Cloud Platform. Given the scale and the challenging requirements of such varied applications, the network incorporates many aligned but complementary techniques to ensure high network reliability. In this talk, I will describe some of these techniques, and how they work in tandem to provide a high-reliability network to all of Google's users. Ranjita Bhagwan is currently a Principal Engineer at Google, working on making Google's network highly reliable. Prior to this, she was a Senior Principal Researcher at Microsoft Research India where she worked for more than a decade on applying machine learning to improve system reliability, security and performance. Recently, her work has focused on using data-driven approaches to improve cloud services and has led to several publications and awards. She is an ACM Distinguished Member, INAE Fellow, and is the recipient of the 2020 ACM India Outstanding Contributions to Computing by a Woman Award. She received her PhD and MS in Computer Engineering from University of California, San Diego and a BTech in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur.