Microsoft Technology Licensing, LLC

Souren Aghajanyan

Jayaram N M Nanduri

Craig Anthony Osborne

Cloud computing techniques utilizing distributed application execution are disclosed herein. One example technique includes receiving a command to launch an application, and in response, determining an execution location corresponding to a type of data consumed by individual components of the application. Upon determining that one of the components is to be executed in a local computing facility, the example technique includes transmitting, from a public computing facility to the local computing facility, a request to execute the one of the components in the local computing facility instead of the public computing facility. Upon being authorized by the local computing facility, data is requested and received from the one of the components executed at the local computing facility without having direct access from the public computing facility to a data source at the local computing facility.

Distributed application execution for cloud computing

Cloud computing techniques utilizing distributed application execution are disclosed herein. One example technique includes receiving a command to launch an application, and in response, determining an execution location corresponding to a type of data consumed by individual components of the application. Upon determining that one of the components is to be executed in a local computing facility, the example technique includes transmitting, from a cloud computing facility to the local computing facility, a request to execute the one of the components in the local computing facility instead of the cloud computing facility. Upon being authorized by the local computing facility, data is requested and received from the one of the components executed at the local computing facility without having direct access from the cloud computing facility to a data source at the local computing facility.

User intentions can be derived from observations of user actions or they can be programmatically specified by an application or component that is performing an action. The intentions can then be utilized to adjust the operation of resource managers to better suit the actions being performed by the user or application, especially if such actions are not 'typical'. Resource managers can inform a centralized intention manager of environmental constraints, including constraints on the resources they manage and constraints on their operation, such as various, pre-programmed independent modes of operation optimized for differencing circumstances. The intention manager can then instruct the resource managers in accordance with these environmental constraints when the intention manager is made aware of the intentions. If no further optimization can be achieved, specified intentions may not result in directives from the intention manager to the resource managers.

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Bellevue, WA, United States of America

Souren Aghajanyan