Google Inc.

Shuang Guan

David Schultz

Yossi Richter

Md Ahsan Arefin

Doron Shaharabani

Srinivas Krishnan

Eran Gal

Yuri L Volobuev

Anoop Kochummen Johnson

Bigang Li

Thibaud Baptiste Hottelier

Justin Levandoski

Victor Sergeyevich Agababov

Aspects of the disclosure are directed to merging data lake openness with scalable metadata for managed tables in a cloud database platform, allowing for atomicity, consistency, isolation, and durability (ACID) transactions, performant data manipulation language (DML), higher throughput stream ingestion, data consistency, schema evolution, time travel, clustering, fine-grained security, and/or automatic storage optimization. Table data is stored in various open-source file formats in cloud storage while physical metadata of the table data is stored in a scalable metadata storage system.

Managed tables for data lakes

A method includes identifying a middlebox receiving network flow and communicating with one or more backend virtual machines. The method also includes receiving flow statistics corresponding to the network flow of the middlebox and determining whether the flow statistics satisfy an offload rule. The offload rule indicates when to migrate the network flow from the middlebox to an end host. When the flow statistics satisfy the offload rule, the method also includes migrating the network flow from the middlebox to the end host.

Transparent migration of virtual network functions

Growing community of inventors

Mountain View, CA, United States of America

Shuang Guan