Abstract: In one embodiment, the present invention includes a method determining if an access queue associated with a channel of a memory has been empty for a predetermined time period and if so, de-asserting a clock enable signal for all ranks of the channel of the memory, otherwise providing a next memory access request from the access queue to the channel of the memory. Other embodiments are described and claimed.

Abstract: A method according to one embodiment may include discovering, by software, at least one variable from at least one component populated on a shelf system. The method may also include performing, by the software, at least one shelf management function based on at least one variable. Of course, many alternatives, variations, and modifications are possible without departing from this embodiment.

Abstract: In some embodiments a system includes one or more processing nodes, a backplane, and one or more links to couple the one or more processing nodes to the backplane, wherein at least one of the one or more links is configurable as a standard Input/Output link and/or as a proprietary link. Other embodiments are described and claimed.

Abstract: A system is disclosed that includes a component, a fault table configured to receive fault information associated with the component, and a diagnosis processor configured to read the fault information from the fault table and initiate corrective action as a function of the fault information. A method for handling faults in the system is also disclosed.

Abstract: A method is to include implementing at least one statistical prediction model to predict memory power utilization and reduce power consumption for a computing platform. The implementation includes determining a configuration parameter for the computing platform, monitoring an operating parameter for the computing platform and predicting memory power utilization for the computing platform based on the determined configuration parameter and the monitored operating parameter. The method is to also include transitioning at least one memory module resident on the computing platform to one of a plurality of power states based at least in part on memory power utilization predicted via the implementation of the at least one statistical prediction model.

Abstract: A method is to include implementing at least one statistical prediction model to predict memory power utilization and reduce power consumption for a computing platform. The implementation includes determining a configuration parameter for the computing platform, monitoring an operating parameter for the computing platform and predicting memory power utilization for the computing platform based on the determined configuration parameter and the monitored operating parameter. The method is to also include transitioning at least one memory module resident on the computing platform to one of a plurality of power states based at least in part on memory power utilization predicted via the implementation of the at least one statistical prediction model.

Abstract: A method for managing a system includes monitoring a plurality of applications running in the system for errors. A prediction is made as to whether errors detected would result in a failure. Fault recovery is initiated in response to a failure prediction. According to one aspect of the present invention, monitoring the plurality of applications includes reading error recorders associated with error occurrence. Other embodiments are described and claimed.

Abstract: A hardware management module is enabled to perform hardware management for a modular platform system that includes a plurality of modular platform shelves coupled via one or more communication links in a network. Hardware management to include monitoring board interfaces resident on one or more backplanes within the plurality of modular platform shelves, detecting when a board is received and coupled to a board interface and performing one or more hardware management functions to include obtaining field replaceable unit information from the detected board.

Abstract: In one embodiment, the present invention includes a method determining if an access queue associated with a channel of a memory has been empty for a predetermined time period and if so, de-asserting a clock enable signal for all ranks of the channel of the memory, otherwise providing a next memory access request from the access queue to the channel of the memory. Other embodiments are described and claimed.

Abstract: Faults are monitored with information from agents for a plurality of sensors located on a plurality of circuit boards. A policy containing a error event thresholds against which the stored sensor information can be compared. Actions can be initiated by a fault module when one or more of the error event thresholds is exceeded.

Abstract: A system is disclosed that includes a component, a fault table configured to receive fault information associated with the component, and a diagnosis processor configured to read the fault information from the fault table and initiate corrective action as a function of the fault information. A method for handling faults in the system is also disclosed.

Abstract: A system is disclosed that includes a component, a fault table configured to receive fault information associated with the component, and a diagnosis processor configured to read the fault information from the fault table and initiate corrective action as a function of the fault information. A method for handling faults in the system is also disclosed.

Abstract: A method is to include implementing at least one statistical prediction model to predict memory power utilization and reduce power consumption for a computing platform. The implementation includes determining a configuration parameter for the computing platform, monitoring an operating parameter for the computing platform and predicting memory power utilization for the computing platform based on the determined configuration parameter and the monitored operating parameter. The method is to also include transitioning at least one memory module resident on the computing platform to one of a plurality of power states based at least in part on memory power utilization predicted via the implementation of the at least one statistical prediction model.

Abstract: A modeling module is disclosed that couples to a modular platform chassis. The modeling module includes a resident management controller to implement a test to model a component layout for a module to be received and coupled to the modular platform chassis. The test includes an operating thermal load for a component resident on the module at a given location. The module has a dimensional length and width that is similar to that of the modeling module. The modeling module also includes a thermal load device that is responsive to the management controller. The thermal load device is to implement at least a portion of the test by simulating the operating thermal load for the component resident on the module at the given location.

Abstract: Faults are monitored with information from agents for a plurality of sensors located on a plurality of circuit boards. A policy containing a error event thresholds against which the stored sensor information can be compared. Actions can be initiated by a fault module when one or more of the error event thresholds is exceeded.

Abstract: A method for managing a system includes monitoring a plurality of applications running in the system for errors. A prediction is made as to whether errors detected would result in a failure. Fault recovery is initiated in response to a failure prediction. According to one aspect of the present invention, monitoring the plurality of applications includes reading error recorders associated with error occurrence. Other embodiments are described and claimed.

Abstract: A hardware management module is enabled to perform hardware management for a modular platform system that includes a plurality of modular platform shelves coupled via one or more communication links in a network. Hardware management to include monitoring board interfaces resident on one or more backplanes within the plurality of modular platform shelves, detecting when a board is received and coupled to a board interface and performing one or more hardware management functions to include obtaining field replaceable unit information from the detected board.

Abstract: A modeling module is disclosed that couples to a modular platform chassis. The modeling module includes a resident management controller to implement a test to model a component layout for a module to be received and coupled to the modular platform chassis. The test includes an operating thermal load for a component resident on the module at a given location. The module has a dimensional length and width that is similar to that of the modeling module. The modeling module also includes a thermal load device that is responsive to the management controller. The thermal load device is to implement at least a portion of the test by simulating the operating thermal load for the component resident on the module at the given location.

Abstract: A method according to one embodiment may include discovering, by software, at least one variable from at least one component populated on a shelf system. The method may also include performing, by the software, at least one shelf management function based on at least one variable. Of course, many alternatives, variations, and modifications are possible without departing from this embodiment.

Abstract: A system is disclosed that includes a component, a fault table configured to receive fault information associated with the component, and a diagnosis processor configured to read the fault information from the fault table and initiate corrective action as a function of the fault information. A method for handling faults in the system is also disclosed.