Google Inc.

Pankaj Risbood

Vivek Sahasranaman

Vittaldas Sachin Shenoy

Rahul S Kulkarni

Rohit Jain

Parag Kacharulal Sarda

Matthew I Lloyd

Johan Schalkwyk

Evan K Anderson

Christoph Kern

Ankit Gupta

Satyan Coorg

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selection of ranked configurations. In one aspect, a method includes providing a plurality of class definitions for selection, each class definition modeling a respective data or functional component of a cloud-based environment using a group of configurable class parameters, each class definition supporting instantiation and inheritance of the class definition in a configuration specification for a cloud-based deployment; deriving respective performance metrics associated with each of the plurality of class definitions based on aggregated performance of multiple cloud-based deployments, wherein the multiple cloud-based deployments had been carried out according to respective configuration specifications that require instantiation of the class definition or a new class definition derived from the class definition; and utilizing the respective performance metrics associated with each of the plurality of class definitions in ranking the plurality of class definitions.

Cloud-based deployment using templates

Cloud-based deployment using object-oriented classes

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing spoken query terms. In one aspect, a method includes performing speech recognition on an audio signal to select two or more textual, candidate transcriptions that match a spoken query term, and to establish a speech recognition confidence value for each candidate transcription, obtaining a search history for a user who spoke the spoken query term, where the search history references one or more past search queries that have been submitted by the user, generating one or more n-grams from each candidate transcription, where each n-gram is a subsequence of n phonemes, syllables, letters, characters, words or terms from a respective candidate transcription, and determining, for each n-gram, a frequency with which the n-gram occurs in the past search queries, and a weighting value that is based on the respective frequency.

Disambiguation of a spoken query term

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for high-level language for specifying configurations of cloud-based deployments. In one aspect, a method includes receiving a configuration specification for configuring a cloud-based deployment, the configuration specification being written in a specification language and requiring instantiation of respective class definitions of one or more classes, each class modeling a respective data or functional component of the cloud-based deployment using a group of configurable class parameters, and the respective class definition of each class representing a requested state of the data or functional component modeled by the class; deriving a plurality of application programming interface (API) calls for configuring the cloud-based deployment based on the class definitions of the one or more classes; causing the plurality of API calls to be executed to configure the cloud-based deployment.

High-level language for specifying configurations of cloud-based deployments

In general, the subject matter described in this specification can be embodied in methods, systems, and program products for correlating status information generated in a computer network. A computing system receives, for each particular computer server or application program in a group of computer servers and application programs that are executing on the computer servers, information that identifies statuses of the particular computer server or application program at a plurality of times. The computing system generates, using the information received, network signatures that each represent statuses of the computer servers and application programs in the group for a particular time, the network signatures being for multiple times. The computer system stores the network signatures along with data that identifies relationships, for each of the multiple times, between (i) application programs and the computer servers on which they were executing, and (ii) application programs that were in communication with each other.

Correlating status information generated in a computer network

Selection of ranked configurations

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for virtual machine name resolution. In one aspect, a method includes receiving a first outgoing packet from a source virtual machine executing on the data processing apparatus destined for a destination virtual machine, wherein the destination virtual machine belongs to a first cluster of virtual machines, and wherein the first outgoing packet identifies the destination virtual machine using a unique name for the destination virtual machine; determining an internal network address of the destination virtual machine based at least in part on the unique name for the destination virtual machine; and sending the first outgoing packet to the destination virtual machine by sending the packet to the internal network address.

Virtual machine name resolution

In general, the subject matter described in this specification can be embodied in methods, systems, and program products for providing access to secured resources. A token providing system stores a primary authentication token that is used to obtain temporary authentication tokens. The token providing system provides, to application programs that are unable to access the primary authentication token, the temporary authentication tokens. The token providing system receives, from a first application program of the application programs, a first request to obtain a first temporary authentication token. The first request does not include the primary authentication token. The token providing system transmits a second request to obtain the first temporary authentication token. The second request includes the primary authentication token. The token providing system receives the first temporary authentication token. The token providing system provides the first temporary authentication token for use by the first application program.

Providing application programs with access to secured resources

This document generally describes techniques, methods, systems, and computer program products for monitoring and managing applications running on virtual machines (VMs).

Monitoring and automatically managing applications

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a mathematical model to predict whether a future software update will be applied to one of the one or more computing devices using information collected from the devices, the collected information including the following for each of a plurality of software updates made available during the one or more time periods: an identification of software to which the update applies, whether the software update was installed on any of the computing devices, and, if so, whether the software installation was successful.

Automated software updating based on prior activity

A request from a client system to perform computations on encrypted data is received at a server system. A request for a data key configured to decrypt the encrypted data is sent from the server system to the client system. The data key from the client system is received at the server system. The encrypted data is accessed at the server system. The encrypted data is decrypted using the data key to generate unencrypted data at the server system. The computations are performed on the unencrypted data to generate result data at the server system. The result data is provided to the client system.

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Bengaluru, India

Pankaj Risbood