Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate end-user defined policy management. An example apparatus includes an edge node interface to detect addition of a networked user device to a service gateway, and to extract publish information from the networked user device. The example apparatus also includes a device context manager to identify tag parameters based on the publish information from the networked user device, and a tag manager to prohibit unauthorized disclosure of the networked user device by setting values of the tag parameters based on a user profile associated with a type of the networked user device.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate end-user defined policy management. An example apparatus includes an edge node interface to detect addition of a networked user device to a service gateway, and to extract publish information from the networked user device. The example apparatus also includes a device context manager to identify tag parameters based on the publish information from the networked user device, and a tag manager to prohibit unauthorized disclosure of the networked user device by setting values of the tag parameters based on a user profile associated with a type of the networked user device.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate end-user defined policy management. An example apparatus includes an edge node interface to detect addition of a networked user device to a service gateway, and to extract publish information from the networked user device. The example apparatus also includes a device context manager to identify tag parameters based on the publish information from the networked user device, and a tag manager to prohibit unauthorized disclosure of the networked user device by setting values of the tag parameters based on a user profile associated with a type of the networked user device.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate end-user defined policy management. An example apparatus includes an edge node interface to detect addition of a networked user device to a service gateway, and to extract publish information from the networked user device. The example apparatus also includes a device context manager to identify tag parameters based on the publish information from the networked user device, and a tag manager to prohibit unauthorized disclosure of the networked user device by setting values of the tag parameters based on a user profile associated with a type of the networked user device.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate end-user defined policy management. An example apparatus includes an edge node interface to detect addition of a networked user device to a service gateway, and to extract publish information from the networked user device. The example apparatus also includes a device context manager to identify tag parameters based on the publish information from the networked user device, and a tag manager to prohibit unauthorized disclosure of the networked user device by setting values of the tag parameters based on a user profile associated with a type of the networked user device.

Abstract: Techniques for dynamically adapting cloud applications are described. A current value of a Key Performance Indicator (KPI) of an executing cloud service instance of a cloud application is detected. A determination is made as to whether the current value of the KPI is unacceptable (e.g., either it is outside of an acceptable range or is within an adaptation region). If the current value of the KPI is unacceptable, a first application programming interface (API) is invoked to request a cloud service instance monitor to adapt the cloud service instance to operate within an acceptable KPI range. If the cloud service instance monitor was unsuccessful, the unacceptable KPI is escalated to the cloud service monitor for the type of the cloud service instance. If the cloud service monitor is unsuccessful, the unacceptable KPI is escalated to the application monitor.

Abstract: Technologies for datacenter management include one or more computing racks each including a rack controller. The rack controller may receive system, performance, or health metrics for the components of the computing rack. The rack controller generates regression models to predict component lifespan and may predict logical machine lifespans based on the lifespan of the included hardware components. The rack controller may generate notifications or schedule maintenance sessions based on remaining component or logical machine lifespans. The rack controller may compose logical machines using components having similar remaining lifespans. In some embodiments the rack controller may validate a service level agreement prior to executing an application based on the probability of component failure. A management interface may generate an interactive visualization of the system state and optimize the datacenter schedule based on optimization rules derived from human input in response to the visualization.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate end-user defined policy management. An example apparatus includes an edge node interface to detect addition of a networked user device to a service gateway, and to extract publish information from the networked user device. The example apparatus also includes a device context manager to identify tag parameters based on the publish information from the networked user device, and a tag manager to prohibit unauthorized disclosure of the networked user device by setting values of the tag parameters based on a user profile associated with a type of the networked user device.

Abstract: Techniques for dynamically adapting cloud applications are described. A current value of a Key Performance Indicator (KPI) of an executing cloud service instance of a cloud application is detected. A determination is made as to whether the current value of the KPI is unacceptable (e.g., either it is outside of an acceptable range or is within an adaptation region). If the current value of the KPI is unacceptable, a first application programming interface (API) is invoked to request a cloud service instance monitor to adapt the cloud service instance to operate within an acceptable KPI range. If the cloud service instance monitor was unsuccessful, the unacceptable KPI is escalated to the cloud service monitor for the type of the cloud service instance. If the cloud service monitor is unsuccessful, the unacceptable KPI is escalated to the application monitor.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate end-user defined policy management. An example apparatus includes an edge node interface to detect addition of a networked user device to a service gateway, and to extract publish information from the networked user device. The example apparatus also includes a device context manager to identify tag parameters based on the publish information from the networked user device, and a tag manager to prohibit unauthorized disclosure of the networked user device by setting values of the tag parameters based on a user profile associated with a type of the networked user device.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate end-user defined policy management. An example apparatus includes an edge node interface to detect addition of a networked user device to a service gateway, and to extract publish information from the networked user device. The example apparatus also includes a device context manager to identify tag parameters based on the publish information from the networked user device, and a tag manager to prohibit unauthorized disclosure of the networked user device by setting values of the tag parameters based on a user profile associated with a type of the networked user device.

Abstract: Technologies for generating an analytical model for a workload of a data center include an analytics server to receive raw data from components of a data center. The analytics server retrieves a workbook that includes analytical algorithms from a workbook marketplace server, and uses the analytical algorithms to analyze the raw data to generate the analytical model for the workload based on the raw data. The analytics server further generates an optimization trigger to be transmitted to a controller component of the data center that may be based on the analytical model and one or more previously generated analytical models. The workbook marketplace server may include a plurality of workbooks, each of which may include one or more analytical algorithms from which to generate a different analytical model for the workload of the data center.

Abstract: Technologies for datacenter management include one or more computing racks each including a rack controller. The rack controller may receive system, performance, or health metrics for the components of the computing rack. The rack controller generates regression models to predict component lifespan and may predict logical machine lifespans based on the lifespan of the included hardware components. The rack controller may generate notifications or schedule maintenance sessions based on remaining component or logical machine lifespans. The rack controller may compose logical machines using components having similar remaining lifespans. In some embodiments the rack controller may validate a service level agreement prior to executing an application based on the probability of component failure. A management interface may generate an interactive visualization of the system state and optimize the datacenter schedule based on optimization rules derived from human input in response to the visualization.