Microsoft Technology Licensing, LLC

Jagadeesh Kalki

Paul J Leach

Mark H Lucovsky

Richard Bruce Ward

Shaun Douglas Pierce

Burra Gopal

Peter Sewall Ford

Lijiang Fang

David James Armour

Samuel John George

Jay Christopher Jacobs

Steven D White

Paul Andrew Steckler

Winnie C Wu

Bahadir Baris Onalan

William Raymond Hoffman

Michael B Taylor

Mark Sterin

Ramu Movva

Gaurav Kapila

Suresh Kannan

Walter C Hsueh

Vipul Malhotra

David Benjamin Auerbach

Kendall D Keil

Yun-Qi Yuan

Yi-Wen Guu

Philip Michael Smoot

Ming Chan

Michael F Speer

Amit Martu Kamat

Neil Evan Lydick

William Yanwah Lai

Dan Boldo

Ling Yan

Ciaran Murphy

Bhavna Chauhan

Marilu Ontaneda

Melissa Quintanilha

Sowjanya Mudimala

Methods, systems, and computer storage media for providing a multi-tenant system that executes graph language requests using graph operations of a graph language. A graph language request&#x2014;that configures tenant data for tenants in a multi-tenant system&#x2014;is executed using a graph operations engine. The graph operations engine receives and parses a graph language request that includes a list of tenants and a definition of data operations. The set of data operations of the definition are executed on a tree of data operation nodes comprising a plurality of leaf nodes and a root node. Executing the data operations is based on graph language actions (e.g., composition, transformation, and aggregation) that support asynchronously returning results data associated with configuring the Tenant data. Executing the data operations of the definition causes generation of results data (e.g., root node results or leaf node results) configuration of the tenant data in the multi-tenant system.

Graph operations engine for tenant management in a multi-tenant system

A client tracking mechanism has a log file analysis routine that may generate two tables, one having a licensable entity designator and last logged off time, and the other having a current session designator. The first table may be aggregated by a server that may collect data from multiple client tracking mechanisms to determine a licensable entity's sessions across multiple servers. The client tracking mechanism may save and resume analysis from the last analyzed log file entry, and may be able to track sessions that are both shorter and longer than the time between each analysis. In many embodiments, a licensable entity may be a user or a device, when a license arrangement is configured in a per-user or per-device basis.

Client access license tracking mechanism

Processing a notification intended for delivery to multiple recipients associated with a broadcast list. Software executes within an alerts service environment to receive a notification addressed to a broadcast alias, determine a list of recipients associated with the broadcast alias to receive the notification, and broadcast the received notification to each recipient in the determined list.

Distributing notifications to multiple recipients via a broadcast list

A secondary output of a user interface created using a presentation framework may be created by making a clone of the user interface, then modifying the cloned user interface by expanding various components. The cloned user interface may also be configured to the output characteristics of the secondary output, which may be a printer or other hardcopy device. The user interface may be created with callbacks or other actions that may be executed when the cloned user interface is configured. The callbacks may cause certain user interface components to be changed on the cloned version of the user interface.

Secondary output generation from a presentation framework

A user interface mechanism may be defined by a story from which a wizard engine may create a user interface. The engine may present the story using various user interface containers that define a layout and general functions of a user interface, along with styles that may define the 'look and feel' of the user interface. The story may define an action performed once data are collected from the user. The story may also define data passed to the action, as well as the data collected from a user. The story may further define translation routines or other actions that may be launched in response to receiving user action and used to generate data that may be passed to the action.

Declarative and multi-mode wizard framework

Described is a technology by which logged events such as in a security event log (e.g., within a defined timeframe) are processed to determine logon times and logoff times, which are then used to determine system usage. Logoff times may correspond to an actual logoff event, a shutdown event, or another login. In one example, logon and logoff times determine the combined times that each user of the system was logged on, e.g., a total session time for each user. Multiple users' times may be combined into a total usage time of all users. Each user's combined session time may be evaluated against the total usage time to determine whether any user is a primary user, e.g., by being logged on more than a threshold percentage of the total usage time. A primary user may be identified, or the system determined to be a shared system without a primary user.

Determining computer system usage from logged events

Described is a technology by which directly ascertainable properties of a processor are collected, and used as a key to access other information about the processor, such as age-related information maintained in a separate lookup table. If a matching entry is not found, the property information may be added to an unknown list and/or used to dynamically update the lookup table. A data structure such as a record comprises a set of fields including fields containing data representative of properties of a processor, a key value determined from the data in at least some of the fields and an identifier that identifies the processor relative to other processors of other computing devices. The fields may include manufacturer data, brand identifier data, cache information, normalized processor speed data, mobile chip information and/or CPU model data.

Determining computer information from processor properties

A schema-based service for Internet access to per-user services data, wherein access to data is based on each user's identity. The service includes a schema that defines rules and a structure for each user's data, and also includes methods that provide access to the data in a defined way. The services schema thus corresponds to a logical document containing the data for each user. The user manipulates (e.g., reads or writes) data in the logical document by data access requests through defined methods. In one implementation, the services schemas are arranged as XML documents, and the services provide methods that control access to the data based on the requesting user's identification, defined role and scope for that role. In this way, data can be accessed by its owner, and shared to an extent determined by the owner.

Schema-based services for identity-based data access

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Redmond, WA, United States of America

Jagadeesh Kalki