Apollo Education Group, Inc.

Anil Maipady

Narender Vattikonda

Shridhar Navanageri

Sudhakar Subashchandrabose

Raghavendra Reddy Mooram

Rahul Kumar

Jeevan Pingali

Sajithkumar Kizhakkiniyil

Krishnam Chapa

Raghavendra Reddy

Raghavendra Reddy Mooran

An improved system and method for updating software is described. The system, upon detecting one or more changes within the set of eligibility attribute values associated with the one or more particular components of previously-provided software, selects a replacement component. The component is selected based on one or more changed eligibility attribute values within the set of eligibility attribute values, and the metadata of the user device. Using the replacement component, the replacement software is constructed and sent to the user device.

Dynamic software assembly

Techniques are described for identifying unhealthy nodes in a multi-node system. One or more parameters of each node is monitored, then compared with the values for the same parameter running on other nodes in the multi-node system. Based on the comparison, a determination is made whether a node is healthy. If the multi-node system comprises one or more nodes with differing capabilities, an adjustment is performed to account for the differing capabilities of each respective node. Further provided are methods of taking remedial action upon a determination that a node is unhealthy. A tuner is used to modify values of health parameters until the node is performing similarly to its peers.

Dynamic service fault detection and recovery using peer services

A method for selecting a tag for a content item includes obtaining a first content item; obtaining data associated with a first user; based on the data associated with the first user, selecting a first tag for the first content item; and generating a second content item comprising (a) at least a portion of the first content item and (b) the first tag.

System generated context-based tagging of content items

An automated resource resolver system receives a client request for a learning resource. The system selects a format for a target resource, to be delivered to the client device, based on user information and context information for the client device. Thus, the selected format will be accessible by the client device, utilizing the capabilities of the device, and will be the best-fit format for the user. After the system selects the format, the system determines whether the target resource stored at a resource repository is in the selected format. If not, then the system selects an instance of the target resource, not in the selected format, to convert to the selected format. The system converts the selected resource instance to produce an instance of the target resource that is in the selected format. The system makes the target learning resource, in the selected format, available to the client device.

Resource resolver

An improved system and method for providing software is described. The system, upon receiving a software request from a user device, obtains metadata about the user device. Based on the metadata and the software requested, a template of the software is obtained. The template specifies a list of categories, where each category is associated with component(s) in a component database. Based on the metadata and eligibility attributes of the respective components, one component from each category is selected for inclusion in the software. From the selected components and the template, the requested software is constructed and sent to the user device. In some embodiments, for popular user devices, a previously stored selection of components can be accessed. In some embodiments, an updated version of the software is provided if the metadata of the user device changes or if there is a change in the available components or software templates.

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San Jose, CA, United States of America

Anil Maipady