Google Inc.

Oracle International Corporation

Bea Systems, Inc.

Alexander Khesin

Alexander Lloyd

Adam Bosworth

Farokh Hassanzadeh Eskafi

Alexander Bosworth

Richard Burdon

Ken Ong

Lawrence Elias Greenfield

Sebastian Kanthak

Terry Leonard Lucas

Terry Lucas

The technology relates to cosharding tables within a distributed storage system. A data table including one or more rows may be received. Each row in the data table may include an identifier key and pieces of data. Each piece of data in the data table may be indexed into individual rows of an index table, wherein each row in the index table includes data associated with the identifier key of the data table from which the piece of data in the respective row was indexed. The index table may be sharded into splits, wherein the sharding includes assigning each row of the index table into one of the splits based on the identifier key of the data table from which the piece of data in the respective row was indexed. The splits may be stored into two or more portions of the distributed storage system.

Cosharding and randomized cosharding

Providing a framework for developing, deploying and managing sophisticated mobile solutions, with a simple Web-like programming model that integrates with existing enterprise components. Mobile applications may consist of a data model definition, user interface templates, a client side controller, which includes scripts that define actions, and, on the server side, a collection of conduits, which describe how to mediate between the data model and the enterprise. In one embodiment, the occasionally-connected application server assumes that data used by mobile applications is persistently stored and managed by external systems. The occasionally-connected data model can be a METAdata description of the mobile application's anticipated usage of this data, and be optimized to enable the efficient traversal and synchronization of this data between occasionally connected devices and external systems.

Mobile applications

A storage system may include a set of storage devices; a controller; and a management device. The controller may arbitrate among operations for execution by the set of storage devices, where the operations are received from users that are associated with priority levels. The controller may maintain queues, corresponding to the users, to queue operations from the users. The controller may additionally include a scoring component and a scheduler. The scoring component may maintain a score for each queue. The scheduler may choose, from the queues and based on the score of each queue, one of the operations to service. The management device may receive usage updates, from the controller, reflecting usage of the set of storage devices; calculate a maximum allowed usage levels, based on the received usage updates, for each user; and transmit the calculated maximum usage levels to the controller.

Prioritized rate scheduler for a storage system

Providing a framework for developing, deploying and managing sophisticated mobile solutions, with a simple Web-like programming model that integrates with existing enterprise components. Mobile applications may consist of a data model definition, user interface templates, a client side controller, which includes scripts that define actions, and, on the server side, a collection of conduits, which describe how to mediate between the data model and the enterprise. In one embodiment, the occasionally-connected application server assumes that data used by mobile applications is persistently stored and managed by external systems. The occasionally-connected data model can be a metadata description of the mobile application's anticipated usage of this data, and be optimized to enable the efficient traversal and synchronization of this data between occasionally connected devices and external systems.

Occasionally-connected application server

Growing community of inventors

Hoboken, NJ, United States of America

Alexander Khesin