Google Inc.

Prajakta Joshi

Uday Ramakrishna Naik

Neha Pattan

Anna Berenberg

Venkat Subbaiah Naidu Kotla

Ines Envid

Lawrence Elias Greenfield

Nayer Naguib

Srishti Srivastava

Emil Kiner

Francois Pepin

Nikhil Kothari

Ines Clara Envid Lazaro

Zhenyu Zhao

Gopal Ashok

Huseyin Simitci

Chia-Tung Kuo

Zachary Fewtrell

Cristopher Whitton Shumate

Jiayu Ye

Saila Talagadadeevi

Amitabha Roy

Andre Lloyd Perlee Harder

A system including a data plane including a first virtual machine designated as a primary node and a second virtual machine designated as a secondary node, and a lock service configured to control changes in designation of the primary node and the secondary node. The first virtual machine repeatedly issues requests to the second virtual machine or lock service extending designation as the primary node for a first duration. The request is repeatedly issued within a duration shorter than the first duration. The second virtual machine receives an indication of the designation of the first virtual machine as the primary node being extended, issues a request to the lock service to change the designation of the primary node after passage the first duration of time without further indication of first virtual machine being extended as primary node, and receives confirmation from the lock service of the change in designation.

Hybrid lease for primary election

Grouping virtualized computing instances in cloud environments can be achieved utilizing groups of network endpoints, such as hardware devices, virtualized computing instances, etc. The network endpoint group (NEG) provides a logical grouping for providers of backend services that may be arranged on the network endpoints, and may be organized based on the backend service to be provided by the computing environments that operate as network endpoints. For example, the NEGs may be implemented for load balancing applications. The network endpoint groups, and the network endpoints included therein, may be managed using a framework of tools, libraries and application programming interfaces.

System and method for deploying, scaling and managing network endpoint groups in cloud computing environments

A method for mitigating network abuse includes obtaining a first set of network traffic messages of network traffic currently received by a network service and determining, via a first model, whether network abuse is occurring based on the first set of network traffic messages. When the network abuse is occurring, the method includes obtaining a second set of current network traffic messages. The method also includes, for each network traffic message in the second set of network traffic messages, labeling, via a second model, the network traffic message as an abusing network traffic message or a non-abusing network traffic message. The method also includes generating, via a third model, at least one network traffic rule. Each network traffic rule, when implemented, reduces an effect of the abusing network traffic messages.

Automatic detection and mitigation of denial-of-service attacks

Growing community of inventors

Redmond, WA, United States of America

Prajakta Joshi