Patent classifications
G06F11/3031
SAS SYSTEM, SAS SYSTEM TRAVERSAL METHOD, AND APPARATUS
A SAS system includes an SAS controller, a first expansion card, a second expansion card, and a third expansion card. The first expansion card includes a first port and a second port. The second expansion card and the third expansion card establish a communication connection to the SAS controller by using the first expansion card. The first expansion card establishes a communication connection to the second expansion card through the first port. The first expansion card establishes a communication connection to the third expansion card through the second port. The second expansion card is connected to the third expansion card.
AUTOMATED ORDERING OF COMPUTER SYSTEM REPAIR
Monitoring the health of a computer system and suggesting an order of repair when problems within the computer system have been identified. Problem(s) and problem entity(s) within the computer system are identified during monitoring. Relationship(s) of the problem entities with other entities in the computer system are identified. A relationship type for each of the identified relationship(s) is determined. A combination of the identified problem(s), the identified problem entity(s), and the determined relationship type(s) is analyzed to determine an order in which repairs of one or more user-visible entities of the computing system should occur in order to address the identified problem(s). An alert comprising the determined order of the repairs is then presented to a user.
METHOD AND SYSTEM FOR INTELLIGENT POWER DISTRIBUTION MANAGEMENT
A method and system for intelligent power distribution management. Specifically, the disclosed method and system propose allocating (and deallocating) reserve or supplemental electrical power to host devices dynamically based on intelligent analyses of host device telemetry including, but not limited to, workload criticality, workload computing resource utilization, hardware configuration metadata, various operational parameters describing host device state, and measurements (as well as other information) pertinent to electrical power usage.
Computer system, a system management module and method of bidirectionally interchanging data via module according to the IPMI standard
A computer system includes a system component with at least one expansion bus and at least one processor coupled to the at least one expansion bus and executes program code of at least one operating system. The computer system also includes a system management module arranged on the system component and at least one memory. The system management module is coupled to the at least one expansion bus and the at least one expansion bus allows direct access to the at least one memory. The system management module has an interface that implements a protocol stack having a bidirectional transport layer used to provide a predetermined shared memory area of the at least one memory to interchange data with the operating system.
POWER MONITORING SYSTEM FOR VIRTUAL PLATFORM SIMULATION
This application is directed to a power monitoring system for virtual platform simulation. In one embodiment, a simulation system may comprise a virtual power monitor (VPMON) and a performance simulator. An example VPMON module may include at least a system agent (SA) module to receive virtual platform data from the performance simulator. The SA module may then be further to determine at least one component power model based on the virtual platform data, and may proceed to formulate a platform power model based on the at least one component power model. During simulation of the virtual platform, the SA module may be further to generate power data corresponding to the virtual platform based on the platform power model. For example, the SA module may obtain performance data from the performance simulator, and may provide the performance data to the platform power model to generate the power data.
INDEPENDENT THERMAL THROTTLING TEMPERATURE CONTROL FOR MEMORY SUB-SYSTEMS
Device temperature values that are each indicative of a temperature at a respective device of multiple devices of a system are identified. Whether at least one device temperature value of the of device temperature values satisfies a respective thermal throttling threshold of multiple thermal throttling thresholds is determined by comparing each of the device temperature values to a respective one of the multiple thermal throttling thresholds that each correspond to one of the plurality of devices. Responsive to determining that the at least one device temperatures value satisfies the respective thermal throttling threshold, a power reduction value that is indicative of an amount of power consumption of the system that is to be reduced is determined. A power reducing operation is performed to reduce the power consumption of the system in accordance with the power reduction value.
TEMPERATURE PREDICTION SYSTEM AND METHOD FOR PREDICTING A TEMPERATURE OF A CHIP OF A PCIE CARD OF A SERVER
To predict a temperature of a chip of a PCIe card of a server, use a gated recurrent unit of a recurrent neural network to define a temperature prediction model for the chip, collect training data of the temperature prediction model according to mutual response changes of control variables, use the training data to train the temperature prediction model to obtain a training result close to a measured temperature of the chip and evaluate the training result to obtain features that best reflect the temperature change of the chip, perform an error analysis on the training result to obtain a set of key features from the features, form a temperature predictor according to the set of key features and the temperature prediction model, and generate a predicted temperature of the chip by the temperature predictor.
LIQUID ASSISTED AIR COOLING MODULE INTERFACE IN AN INFORMATION HANDLING SYSTEM
An information handling system includes a motherboard including a connector interface, and a liquid assisted air cooling (LAAC) module. The LAAC module includes a coolant pump to circulate coolant to one or more components in the information handling system, a leak sensor to detect whether the coolant is leaking, and a processor. The processor detects whether the coolant pump is operating properly. In response to the coolant pump not operating properly, the processor provides a first tachometer signal on a particular pin of the connector interface of the motherboard. The processor further monitors a voltage level received from the leak sensor. A first voltage level indicates a leak being detected, and a second voltage level indicates no leak being detected. In response to the voltage level being the first voltage level, the processor provides a second tachometer signal on the particular pin of the connector interface of the motherboard.
Integrated monitoring and control of processing environment
A method of managing components in a processing environment is provided. The method includes monitoring (i) a status of each of one or more computing devices, (ii) a status of each of one or more applications, each application hosted by at least one of the computing devices, and (iii) a status of each of one or more jobs, each job associated with at least one of the applications; determining that one of the status of one of the computing devices, the status of one of the applications, and the status of one of the jobs is indicative of a performance issue associated with the corresponding computing device, application, or job, the determination being made based on a comparison of a performance of the computing device, application, or job and at least one predetermined criterion; and enabling an action to be performed associated with the performance issue.
Method and system for intelligent power distribution management
A method and system for intelligent power distribution management. Specifically, the disclosed method and system propose allocating (and deallocating) reserve or supplemental electrical power to host devices dynamically based on intelligent analyses of host device telemetry including, but not limited to, workload criticality, workload computing resource utilization, hardware configuration metadata, various operational parameters describing host device state, and measurements (as well as other information) pertinent to electrical power usage.