Microsoft Technology Licensing, LLC

Marcus Jon Jager

John Philip MacCormick

Marc Andrew Power

Baskaran Dharmarajan

Chandramohan Amyangot Thekkath

Shuangyu Chang

Eric Lynn Eilebrecht

Michael Levit

Jay Christopher Jacobs

Steven Robert Sandke

Ziad Al Bawab

Matthew Terence Hayes

William Raymond Hoffman

Kristof Roomp

Anastasios Kasiolas

Anand U Desai

Rishi Girish

Tao Li

Ananth Rampura Sheshagiri Rao

Xin Meng

Suyash Choudhury

Cem Aksoylar

Dhiresh Rawal

Atul Adya

William J Bolosky

Lidong Zhou

Ronnie Chaiken

Brian D Remick

Marcus Vinicius Silva Gois

Kazimierz K Gwozdz

Durgesh Srivastava

Rong Guo

Arpan Jugalkishor Asawa

Ritesh Kumar Sinha

Sidi Lin

Ryan Lee Jobse

Sharanya Chinnusamy

Sejal Kiran Shinde

Douglas J McCulloch

A graph tracks the lineage of customer data, including when it was originally extracted from a customer computing system, and any transformation results indicating transformations that were performed on the customer data. The graph is traversed to identify nodes in the graph that have expired based upon data removal policies. The customer data represented by the expired nodes in the graph is deleted and the graph is modified to delete the expired nodes. The modified graph is then stored in persistent memory until data removal is next triggered.

Tracking data lineage and applying data removal to enforce data removal policies

Systems and methods are provided for acquiring training data and building an organizational-based language model based on the training data. In organizational data is generated via one or more applications associated with an organization, the collected organizational data is aggregated and filtered into training data that is used for training an organizational-based language model for speech processing based on the training data.

Organizational-based language model generation

Provided is a system and method for acquiring training data and building an organizational-based language model based on the training data. In one example, the method may include collecting organizational data that is generated via one or more applications associated with an organization, aggregating the collected organizational data with previously collected organizational data to generate aggregated organizational training data, training an organizational-based language model for speech processing based on the aggregated organizational training data, and storing the trained organizational-based language model.

Server-side control of client-side quality-of-service tracking is provided. When a service is being provided to a client device, a server provides aggregation rules to a client device as part of the service. The client device executes instructions in the aggregation rules to collect QoS metrics regarding the service on the client device and to manipulate the QoS metrics to generate aggregated QoS data. The client device reports the aggregated QoS data to a server for storage and analysis.

Rule-based system for client-side quality-of-service tracking and reporting

Server-side control of client-side quality-of-service tracking is provided. When an event occurs at a client, a measurement client collects event parameters and generates aggregated measurement data in accordance with aggregation rules that are provided to the measurement client from a server-side measurement service. The measurement client periodically reports the aggregated measurement data to the measurement service for storage and analysis.

Techniques are provided for moving an item from one item server to another item server in a distributed storage system, using a location service, APIs, and item states. There are three parties that transact with each other: a source item server, a destination item server, and a location service. Each item stored at the source has a move status, e.g., 'stationary', 'source attempting transfer', &#x201c;destination accepting transfer&#x201d;, or &#x201c;destination attempting transfer&#x201d;. Similarly, each item stored at the destination also has a move status, e.g., &#x201c;stationary&#x201d;, &#x201c;source attempting transfer&#x201d;, &#x201c;destination accepting transfer&#x201d;, or &#x201c;destination attempting transfer&#x201d;. The location service desirably has an entry for every item stored by the storage system. An item's entry may comprise the item's current location (e.g., an identifier of an item server) together with a state, such as &#x201c;stable&#x201d; or &#x201c;attempting transfer&#x201d;.

Relocating item in distributed storage system

A configuration system is described. In an implementation, a method includes determining through execution of a configuration system whether an application qualifies as a member of one or more of a plurality of groups. Each of the groups defines one or more criteria for membership and has at least one corresponding block having configuration data. The determining is performed based on whether the application satisfies the one or more criteria. For each of the groups, of which, the application qualifies as a member, the configuration data of the at least one corresponding block is loaded.

Configuration system

A searchable storage system indexes data, such as a blob (binary large object) as it is stored. The indexes are stored simultaneously with the data by the same storage mechanism. Data cannot be stored without indexing it. Any indexing technique may be used. The indexes are then used to access the data. This ensures that any inconsistencies can handled at the local level, and are not visible to clients of the system. Data can be put in to, or taken out from, the searchable storage system. Additionally, a query on the data in the searchable storage system may be performed.

Searchable storage system

A global state management service manages replication in a distributed system. A distributed system can have several replica groups. The global state management service manages state associated with each replica group. Data replication is implemented without implementing an instance of a state machine on each device in a replica group. A replica group comprises a primary device and at least one secondary device. Each device in a replica group contains a replica of data of interest. The global state management service manages the allocation of primary and secondary devices. In the absence of a failure in either a primary device or a secondary device, read and write operations are performed without consulting the global state management service. When a failure is detected, the global state management service manages failover.

Data replication in a distributed system

Efficient processing of time-bound messages is described herein. In an implementation, messages are classified either time-bounded messages or non-time-bounded messages. The time-bounded messages are then processed separately from the non-time-bound messages. Examples of time-bounded messages can include spam e-mails or other types or classes of e-mails subject to a retention policy, such that the are retained only for some set period of time. Metadata relating to the time-bound messages are compiled and stored separately from the messages, thereby enabling optimization of the metadata storage and processing apart from the messages. The time-bounded messages are accumulated before they are processed in bulk, thereby reducing the number if I/O operations consumed by the time-bound messages, and reducing the amount and cost of resources supporting the process of the time-bounded messages.

Efficient processing of time-bounded messages

A method and system for dynamically configuring a server computer is provided. A global configuration file is utilized to configure a server computer on a per request basis. When a request is received at a server computer embodying aspects of the present invention, the server computer dynamically configures itself utilizing the contents of a global configuration file. The global configuration file contains configuration settings that may or may not be utilized by the server computer in configuring itself. To determine if particular configuration settings should be utilized by the server computer in configuring itself, the server computer parses rules also contained in the global configuration file. If a rule is evaluated as true, configuration settings associated with the rule are used by the server computer when configuring itself. The server computer can then respond to the request utilizing its dynamic configuration.

Dynamically configuring a server computer

Method and system for dynamically configuring a server computer

A method and apparatus are provided for determining the validity of a global configuration file. In order to verify the global configuration file, the configuration file is first 'flattened.' To flatten the configuration file, the rules in the first block of the configuration file are identified. A settings file is then created with the rules set as true. The normal configuration process is then performed on the configuration file. The resulting settings file constitute the flattened settings for the block and are associated with the block. A determination is then made as to whether any conflicting settings, inconsistently set related settings, or syntax errors exist within the flattened settings. If any such settings do exist, an error message is generated. This process is then repeated for each block in the configuration file so that flattened settings are created for each block. A testing block may also be utilized to identify problems with the settings file generate by the testing block. Reverse queries may also be performed on the settings file. Changes in the flattened configuration files caused by changes in the global configuration file can also be identified. The flattened files may also be used to simplify the server computer configuration process.

Method and apparatus for verifying the contents of a global configuration file

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Boulder Creek, CA, United States of America

Marcus Jon Jager