Microsoft Technology Licensing, LLC

Ashish Consul

Suryanarayana Murty Gorti

Harvey Rook

Rajasi Saha

James Charles Kleewein

Asad Yaqoob

Bryan William Tuttle

Chandan Aggarwal

Michael Geoffrey Andrew Wilson

Muhammad Mannan Saleem

Graham Smith

Pingjun Hu

Huy Hoang

Yi Li

Julian Alexander Zbogar-Smith

Karim Batthish

Andrew E Goodsell

Andrew John Sullivan

Galen Michael Elias

Shengquan Yan

Yanbiao Zhao

Pin Lu

Jianyong Xiao

Xun Kang

A graphics rendering system is provided for controlling the rendering of images to manage expected errors. The graphics rendering system receives a specification of a render task to be performed to render an image of a graphics scene and then identifies computing devices that each have a graphics processing unit. The graphics rendering system directs each of the identified computing devices to render the image specified by the render task such that each identified computing device renders the same image. When the graphics rendering system detects that a computing device has completed the render task successfully, it provides the image rendered by that computing device as the rendered image of the render task such that any other image rendered by another of the computing devices is not needed.

Management of graphics processing units in a cloud platform

As described herein, a client system is automatically configured to access message objects in a plurality of mailboxes stored at a server system. The client system sends an autodiscover request to the server system. In response, the server system sends to the client system an autodiscover response that contains an autodiscover response document that comprises a primary mailbox element and at least one alternate mailbox element. The client system uses a first set of mailbox identification data specified by the primary mailbox element to access message objects in a primary mailbox stored at the server system and uses sets of mailbox identification data specified by the alternate mailbox elements to access message objects in alternate mailboxes stored at the server system. Email messages are one example type of message objects. The alternate mailbox may be an archive mailbox used to store message objects for occasional reference.

Automatic discovery of alternate mailboxes

A method and system for determining a device identifier assigned to a device within an installation of devices connected via a network is provided. A system determines the device identifier of a device that has been repaired and reinstalled so that the device can be placed in service. Upon receiving an indication that a repaired device has been reinstalled, the system requests and receives a possible device identifier of the repaired device from an interconnect device that connects the repaired device to the network. To verify that the possible device identifier is the actual device identifier, the system directs the repaired device to reboot so that it broadcasts its device identifier. When the repaired device reboots, it broadcasts its device identifier. Upon receiving the broadcast device identifier, the system verifies that the possible device identifier is the same as the broadcast device identifier.

Automatic identification of returned merchandise in a data center

Technologies are described herein for generating a mailbox specific frequent word list associated with a mailbox. In one method, an index scan is performed on catalogs to retrieve search data mapping words to emails containing the words. The search data is provided across multiple mailboxes. A universal frequent word list is generated based on the search data. The mailbox specific frequent word list is generated based on the universal frequent word list.

Generation and use of an email frequent word list

A textual search index is used to identify data objects that have numerical properties that satisfy search queries. As described herein, a search index contains search index entries, each of which specifies a reference string and a set of data object identifiers. When an original search query is received, the search query is transformed into a transformed search query such that numerical comparison query elements in the original search query are transformed into equivalent textual comparison query elements. The search index is then used to identify ones of the data objects that satisfy the transformed search query. A list of the identified data objects may then be provided in response to the original search query.

Textual search for numerical properties

Multiple search indexes can be served from a common set of resources. Instead of requiring a processor to be dedicated to serving a single search index, a processor can provide responsive documents for search queries that are based on different ranking algorithms and/or different sets of documents.

Serving multiple search indexes

Architecture that employs machine-based learning to automatically categorize data on a per-user basis. Auto-tagging reduces the burden on infoworkers by creating a machine learning model to learn from user tagging behavior or preferences. Once this information is obtained, a trained model for this specific user is used to assign tags to incoming data, such as emails. The architecture finds particular applicability to compliance and message retention policies that otherwise would mandate extra work for the infoworker. The architecture learns the tagging behavior of a user and uses this learned behavior to automatically tag data based on the user's prior tagging habits. A regression algorithm is employed to process the training data according to an n-dimensional framework for prediction and application of the tag(s) to the incoming messages.

Machine-based learning for automatically categorizing data on per-user basis

Techniques to manage retention policy tags are described. A system may comprise a tagging component operative to tag a message with an expiration tag to form an expiration tagged message, the expiration tag having expiration information used to expire the expiration tagged message in accordance with a retention policy. The system may further comprise a presentation component communicatively coupled to the tagging component, the presentation component operative to present a view of the expiration tagged message with an expiration field having the expiration information for the expiration tagged message.

Techniques to manage retention policy tags

A method is presented for generating a list of frequently used words for an email application on a server computer. When a request is received for a word frequency list for emails stored in a user's mailbox, a word frequency list is returned if one exists. If the word frequency list does not exist, an asynchronous process is started on the server computer to generate a word frequency list. If the word frequency list exists but it is older than an aging limit, an asynchronous process is started on the server computer to regenerate the word frequency list. The word frequency list is stored in the user's mailbox along with a timestamp indicating the date and time that the list was created or updated.

Using message sampling to determine the most frequent words in a user mailbox

This disclosure is directed to automatically moving message objects, such as email message objects, from online source mailbox databases to online archive mailbox databases. As described herein, each email message in a source mailbox database is directly or indirectly associated with a retention policy tag. The retention policy tag associated with a message object in a source mailbox database specifies a retention period. The message object remains in source mailbox database until the retention period expires for the message object. When the retention period for the message object expires, the message object is automatically moved to an archive mailbox database.

Online archiving of message objects

As described herein, a high-availability server system includes at least a source server system and a target server system that dynamically restore message object search indexes. Both the source server system and the target server system store copies of a mailbox database and a search index for the mailbox database. As changes are requested to the mailbox database, events are added to event lists maintained at the source node and the target node. When the data storage system at the target server system enters an error state, the source server system sends to the target server system a set of data that the target server system can use to generate a copy of search index. The target server system may then resume applying events in the event list to the search index. In this way, it may not be necessary to completely re-index the mailbox database at the target node.

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Redmond, WA, United States of America

Ashish Consul