Microsoft Technology Licensing, LLC

Robert Franz Hain

Esaias Engelbertus Greeff

Justin Allen Hutchings

Samuel David Adams

David Walker Duhon

Arun Babu Nagarajan

Erik O Peterson

Niket Ashok Sanghvi

J Adrian Lannin

James Fletcher

Kelly Michael Smith

Kyle P Wojtaszek

Michael Dennis Schueller

Curtis Todd Johnson

Jared James Gohr

Isaac Matichuk

Daniel James Driscoll

Esaias Englebertus Greeff

Justin A Hutchings

A bipartite workflow graph, representing an understanding of an overall service, comprises two different graph elements: entities and processes and each individual microservice defines their logical constructs as either an entity or a process in accordance with a universal schema. Notifications from such microservices conform to the universal schema, thereby enabling microservices to individually change how they operate internally, without affecting an understanding of the overall system as represented by the workflow graph. Each graph element has its state maintained by a separately addressable execution unit executing a state machine, which can be individually updated based on information received from the microservices. Changes to the workflow graph are logged and an insight engine monitors such a log to insert insight markers in accordance with predefined events, thereby enabling the collection of metrics on a service wide basis and across multiple microservices.

Quantification of compute performance across multiple independently executed microservices with a state machine supported workflow graph

Device association data for peripheral devices, which is data used to connect to the peripheral devices, is maintained and synchronized across multiple computing devices associated with a user account on a service. When a new peripheral device is associated with a computing device, device association data for the new peripheral device is added to the computing device. The device association data for the new peripheral device is also sent to the service, which provides the device association to the other computing devices from which the user logs into his or her account, and those other computing devices in turn automatically associate themselves with the peripheral device. Device use data describing how a user desires to use the peripheral device on one computing device, as well as changes to the device association data on one computing device, can similarly be synchronized across the multiple computing devices.

Synchronizing device association data among computing devices

Two participants may observe periodic data sources available only in the vicinity of physical trust (i.e. a wifi beacon). If an initial test of whether each participant has received the same key is passed, each party may hash the periodic source and communicate it to the other over a non-proximal communication channel (an IP network) and both are able to verify that the other (or agent of the other) is within the same vicinity.

Mechanism to verify physical proximity

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Robert Franz Hain