Google Inc.

Rahul S Kulkarni

Pankaj Risbood

Vivek Sahasranaman

Rohit Jain

Vittaldas Sachin Shenoy

Parag Kacharulal Sarda

Ramanathan V Guha

Vinay Goel

Siddartha Naidu

Subramanya Srikanth Belwadi

Mandayam Thondanur Raghunath

Balaji Gopalan

Deepak Achuthan Menon

Anshu Surana

Suhas Abhimanyu Phand

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

In one implementation, a method for providing information to computer users includes receiving at a server system an indicator of an action performed on a third-party website by a first user of a social network of users. The method can also include creating by the server system first promotional information based upon the received indicator and information associated with the first user of the social network. The method can further include persistently storing by the server system the created first promotional information in a repository of promotional information, wherein the repository stores promotional information associated with a plurality of third-party websites for display to users of a plurality of social networks. The method can additionally include receiving at the server system a request for promotional information to display to a second user of the social network, the second user having an acquaintance relationship with the first user.

Propagating promotional information on a social network

A rich media notice board enables users to communicate with others in their own and related communities who use the rich media notice board or other rich media notice boards, such as those in related communities, as well as with others who use conventional interfaces via the Internet. The users of the rich media notice board can post notices including text, images, audio, and video to the rich media notice board. The notices may also include usage metaphors that may allow users to relate to the notices. A user interface of the rich media notice board may employ the usage metaphors to provide an interface that may be used by users who may not read or write with sufficient proficiency to otherwise use a computer. The users may access the rich media notice boards from computers, mobile phones, and kiosk systems.

Establishing communication in a rich media notice board

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 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.

Securely performing programmatic cloud-based data analysis

A high-level object-oriented specification language allows configurable components of a cloud-based deployment to be modeled by a class definition that includes a group of configurable class parameters. The object-oriented specification language supports extension of an existing base class definition to create new class definitions, and supports inheritance of class parameters from the existing base class definition by the new class definitions. A cloud-based deployment can be customized based on class definitions used in configuring one or more generic deployments, such as by modifying class parameter values of the class definitions, varying interrelationships between the classes, and supplementing existing class parameters with new class parameters. The high-level object-oriented specification language supports class definitions that model hardware and virtual resources as well as software roles and service roles served by software applications and services in a cloud-based deployment. Syntax for specifying dependency and connectivity between classes is also provided.

Growing community of inventors

Maharashtra, India

Rahul S Kulkarni