Microsoft Technology Licensing, LLC

Kent D Mitchell

Carroll W Moon

Lou Nikodym

Hollie McCurdy

Mark Allen Miller

Jason Heintz

Brian Feck

Pei Li

Venkata Ratnam Saripalli

Michael D Grafham

Vadi Ramalingam

Dan Strader

A tenant model models workload usage of tenants, based upon a set of tenant attributes. The model is applied to a set of tenants waiting to be on-boarded to a workload to identify a metric indicative of likely tenant usage of the workload. A subset, of the set of tenants, are identified for on-boarding, based upon the metric, and on-boarding functionality is controlled to the identified subset of tenants.

Attribute collection and tenant selection for on-boarding to a workload

Energy consumption analytics of a cloud based service is provided. An application such as a power analytics application monitors power consumption data of a server of the cloud based service. The power consumption data of the server is captured in a data file, a data store, a temporary storage, etc. The power consumption data is analyzed to detect power consumption metrics for the server. The power consumption metrics are presented in a business intelligence data structure.

Providing energy consumption analytics of cloud based service

An application provides server performance decision support to end-users. The application monitors the transaction data of servers. The transaction data includes network communications as well as server specific information such as resource utilization. The application captures a sample of the transaction data. The captured sample can be random or predetermined. The sample is limited in length according to a preset time value. The application analyzes the sample to determine performance metrics for the server. The application presents the performance metrics within a business intelligence data structure to enable an end-user to data mine the performance metrics according to additional variables.

Providing server performance decision support

An application provides cloud computing master data management. The application determines a rank associated with received server information from a server. The source rank is adjusted according to evaluation of server information against naming convention standards. The source rank is used in determining a category matching the server information. An assigned category includes instructions to configure assets of a server. The application assembles configuration information from the assigned category and provides the configuration information to the server.

Master data management system for monitoring cloud computing

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Denver, CO, United States of America

Kent D Mitchell