Microsoft Technology Licensing, LLC

Microsoft Corporation

Henricus Johannes Maria Meijer

Brian C Beckman

Anders Hejlsberg

Avner Y Aharoni

Alexander G Gounares

Jeffrey Van Gogh

Matthew J Warren

Amanda K Silver

Paul Allen Vick, Jr

Lili Cheng

Debi P Mishra

Gary William Flake

Matthew Bret MacLaurin

Dinesh Chandrakant Kulkarni

David N Schach

Ira L Snyder, Jr

Raymond Edward Ozzie

Daniel S Glasser

Thomas F Bergstraesser

William Henry Gates, Iii

James R Larus

Peter A Hallam

Christopher Wellington Brumme

Michael J Connolly

Amit Mital

Melora Zaner-Godsey

Arnold Neil Blinn

Luca Bolognese

Danny Van Velzen

John Wesley Dyer

Gary Shon Katzenberger

Mads Torgersen

Bart De Smet

Ralf Lammel

Peter Drayton

Andrew Eyring Kimball

Nishant Dani

Wolfram Schulte

Chandramohan Amyangot Thekkath

Dragos A Manolescu

Surajit J Chaudhuri

Lev Novik

John Carlton Platt

Colin Joseph Meek

Dane Alexander Glasgow

David Rogers Treadwell, Iii

William J Bolosky

Mary P Czerwinski

Donald F Box

David Lawrence Remy

Gavin Mark Bierman

Wei Zhu

Gur Kimchi

John R Douceur

Galen Clyde Hunt

Avi Bar-Zeev

John Joseph Duffy

Scott Field

Yan Valerie Leshinsky

Efim Hudis

Edward F Reus

Niklas Gustafsson

Kunal Mukerjee

Christopher Alan Hays

F David Jones

Benjamin Livshits

Oludare Victor Obasanjo

Mario C Goertzel

Michael Joseph Healy

David E Kays

Jomo Fisher

Ira Snyder

Asad Jawahar

Neal M Gafter

Vijay Mital

Darryl Ellis Rubin

Susan Theresa Dumais

Stephen Harris Toub

Balan Sethu Raman

Alexander Douglas James

Vance Palmer Morrison

Alice Jane Bernheim Brush

Roger Shane Barga

Michael Isard

Arun Sacheti

Alexander Sasha Stojanovic

Clemens Alden Szyperski

Owen Charles Braun

Wolfgang Grieskamp

Evgeny Veselov

Haroon Ahmed

Chris A Suver

Todd F Pfleiger

Carl M Carter-Schwendler

Michael Barnett

Cedric Fournet

Kartik Nadipuram Raghavan

Bart J F De Smet

Michael Eric Deem

Terry A Adams

A system enables metadata to be gathered about a data store beginning from the creation and generation of the data store, through subsequent use of the data store. This metadata can include keywords related to the data store and data appearing within the data store. Thus, keywords and other metadata can be generated without owner/creator intervention, with enough semantic meaning to make a discovery process associated with the data store much easier and efficient. Usage of or communication regarding a data store are monitored and keywords are extracted from the usage or communication. The keywords are then written to otherwise associated with metadata of the data store. During searching, keywords in the metadata are made available to be used to attempt to match query terms entered by a searcher.

Developing implicit metadata for data stores

A data model can be generated by dualizing another data model. In other words, a first data model can be transformed into a second data model, wherein the second data model is a mathematical dual of the first data model. For example, a non-relational data model can be generated by dualizing a relational data model.

Data model dualization

The subject disclosure relates to techniques for monitoring contextual and performance information of a device for anticipatorily sending update information to the device. An interface component can receive, from the client, contextual information indicating an operating environment of the client and performance information that is associated with one or more operations being performed by the client based on the operating environment, and send, based on correlation information, update information to the client. Further, a service component can to infer a relationship between the contextual information and the performance information to obtain the correlation information. In other embodiments, a client can populate a cache with portion(s) of the contextual information to obtain cached information, and send at least a portion of the cached information to a system including one or more aspects of the service component.

Discovery and mining of performance information of a device for anticipatorily sending updates to the device

An outer event stream can be modeled to represent duration for an event with an inner event stream. The inner event stream can be generated to represent duration of at least one event from the outer event stream. By modeling the outer event stream to include duration, coincidence between two or more events can be determined. More specifically, the modeling of the outer event stream enables use of operators to identify coincidence between events from event streams.

Reactive coincidence

Described herein is a mashing technology that facilitates mashup creation over a plurality of publish/subscribe social network data stream. These mashing techniques that are tailored to managing content from disparate social networks. As described herein, these techniques include creating and using a set of operations that facilitate the creation of 'mashups' over multiple publish/subscribe social network data streams.

Publish/subscribe mashups for social networks

A method includes receiving stateful code that is called from a first location and executed at a second location. The method includes acquiring contextual information associated with the stateful code. The method includes determining a location for storage of state information based on the contextual information. The method includes, based on the determined location, transforming the stateful code into stateless code. The transforming includes storing state information for the stateful code into storage at the determined location. In response to the determined location being the first location, the stateless code includes: retrieving the state information from the storage; from the first location, sending a call to the second location; at the first location, receiving a response from the second location; and storing the new state information into the storage at the first location. One argument of the call includes the retrieved state information. One return value includes new state information.

Automatic code transformation

Differing implementations associated with components of dissimilar execution environments are mediated to facilitate component integration. A host is provided to facilitate native interaction with foreign components by translating between native and foreign communications. Policies can be specified by either or both of a native and foreign component that control interaction.

Transparent integration of application components

In one embodiment, datasets are stored in a catalog. The datasets are enriched by establishing relationships among the domains in different datasets. A user searches for relevant datasets by providing examples of the domains of interest. The system identifies datasets corresponding to the user-provided examples. The system them identifies connected subsets of the datasets that are directly linked or indirectly linked through other domains. The user provides known relationship examples to filter the connected subsets and to identify the connected subsets that are most relevant to the user's query. The selected connected subsets may be further analyzed by business intelligence/analytics to create pivot tables or to process the data.

Finding data in connected corpuses using examples

Computer programming is aided by way of automatic code generation, and more specifically generation of deployment code automatically. An application can be analyzed and deployment code, including installation, maintenance (e.g., update/upgrade), and removal (e.g., un-install) code, can be generated as a function of the analysis as well as a particular execution environment.

Code deployment assistance

A spreadsheet model is employed to facilitate distributed computations. Spreadsheets and cells are generalized to correspond to arbitrary data sources that can be remote from each other, among other things. Functions can be specified with respect to these arbitrary data sources to produce combinations of data or mashups, for example, wherein changes initiate re-computation with respect to dependent data sources.

Spreadsheet model for distributed computations

A workflow is designated for execution across a plurality of autonomous computational entities automatically. Among other things, the cost of computation is balanced with the cost of communication among computational entities to reduce total execution time of a workflow. In other words, a balance is struck between grouping tasks for execution on a single computational entity and segmenting tasks for execution across multiple computational entities.

Distributed workflow execution

A processing system for distributed multi-tier applications is provided. The system includes a server component that executes a replica of a client-side application, where a client component executes the client-side application. The client component captures events from the client-side application and transmits the events to the replica to validate the computational integrity security of the application.

Automatically securing distributed applications

A multidimensional object, such as a language-integrated query (LINQ) object, can be generated based upon a grouping set operator and zero or more key selectors. The object can be utilized to query over a non-relational data source. The object can include a sequence of functions corresponding to each grouping related to the grouping set operator in order to provide multidimensional grouping representation. Furthermore, the object includes nested structures for optimized execution of the grouping set operator.

Multidimensional grouping operators

Growing community of inventors

Mercer Island, WA, United States of America

Henricus Johannes Maria Meijer