Patent classifications
G06F11/0763
Binary large object platform for interactively analyzing and editing structural metadata
Embodiments include methods, systems and computer program products method for editing and correcting structural metadata associated a binary large object (BLOB). The computer-implemented method includes obtaining, using a processor, at least a portion of structural metadata associated with the BLOB. The processor converts one or more fields associated with the at least a portion of structural metadata and determines that the one or more fields generated one or more errors or null values. The processor provides an interface, wherein the interface is used to cause a first movement or edit the one or more fields. The processor determines that the first movement or edit of the one or more fields fixes the one or more errors or null values and provides an indication that the first movement or edit of the one or more fields has or has not fixed the one or more errors or null values.
Data storage device and data processing method
A data storage device includes a memory device and a memory controller. The memory controller configures a first memory block which is a TLC memory blocks as a data buffer, and accordingly configures a plurality of second memory blocks which are SLC memory blocks. The memory controller uses the first memory block to receive data and accordingly store same data in the second memory blocks as backup data. When an amount of available memory space of the first memory block is smaller than or equal to a predetermined amount, the memory controller determines whether any error has occurred in the data stored in the first memory block. When there is any error occurred in the data stored in the first memory block, the memory controller configures a third memory block and move the backup data stored in the second memory block to the third memory block.
ALL FLASH ARRAY SERVER AND CONTROL METHOD THEREOF
The present invention provides a control method of a server, wherein the control method includes the steps of: periodically controlling a first register and a second register of a first node to have a first value and a second value, respectively; periodically controlling a third register and a fourth register of a second node to have a third value and a fourth value, respectively; controlling the first register and the fourth register to synchronize with each other, wherein the first value is different from the fourth value; controlling the second register and the third register to synchronize with each other, wherein the second value is different from the third value; and periodically checking if the third register has the third value and the fourth register has the fourth value to determine if the first node fails to work.
Semantic framework for variable haptic output
An electronic device, in response to detecting an event, makes determinations with respect to the type of event that was detected, and provides alerts with haptic components based on the determined event type. More specifically, in accordance with a determination that the event is a type of event in a first event class, the device provides a first alert that includes a first haptic component. In accordance with a determination that the event is a type of event in a second event class, the device provides a second alert that includes a second haptic component different from the first haptic component; and in accordance with a determination that the event is a type of event in a third event class, the device provides a third alert that includes a third haptic component, different from the first haptic component and the second haptic component.
Controller and control system that manages event occurrence history utilizing a flash chain of event history data
A controller controls a control target device and includes: a storage unit to record event history data of an event occurring during operation of the controller; a hash value calculation unit to calculate a hash value on the basis of the event history data; and a communication unit to transmit the hash value to another controller external to the controller.
USING A MACHINE LEARNING MODULE TO DETERMINE WHEN TO PERFORM ERROR CHECKING OF A STORAGE UNIT
Provided are a computer program product, system, and method for using a machine learning module to determine when to perform error checking of a storage unit. Input on attributes of at least one storage device comprising the storage unit are provided to a machine learning module to produce an output value. An error check frequency is determined from the output value. A determination is made as to whether the error check frequency indicates to perform an error checking operation with respect to the storage unit. The error checking operation is performed in response to determining that the error checking frequency indicates to perform the error checking operation.
STORAGE MANAGEMENT SYSTEM AND METHOD
A method, computer program product, and computing system for processing memory page metadata received from a cache memory system within a data storage system to determine if the memory page metadata includes corruption due to a power failure event; if the memory page metadata includes post-acknowledgement data corruption, initiating a data recovery process to attempt to recover content associated with the post-acknowledgement data corruption; and if the memory page metadata includes pre-acknowledgement data corruption, reobtaining content associated with the pre-acknowledgement data corruption.
Using Real-Time Analytics To Manage Application Features
A system and method for reducing execution errors make by a software service are disclosed. The service has several features whose execution paths are switched on or off by corresponding feature toggles, i.e. flags in a configuration database. The performance, and especially error generation, of each feature is monitored automatically and an instantaneous error rate is produced. When the error rate exceeds a given threshold error rate for a particular feature, the corresponding toggle is disabled in the configuration database and the service is triggered to restart using the updated toggles, thereby disabling the problematic feature. The system and method also determine whether the error rate increased due to a transient error condition, such as a data link drop or a secondary service restart, and re-enable the toggle when the error condition has passed.
FIRMWARE DESCRIPTOR RESILIENCY MECHANISM
An apparatus to facilitate descriptor resiliency in a computer system platform is disclosed. The apparatus comprises a non-volatile memory to store firmware for a computer system platform, wherein the firmware comprises a primary descriptor including access permission details for platform components and a secondary descriptor including a backup copy of the access permission details and a controller, coupled to the first non-volatile memory, including recovery hardware to detect a problem during a platform reset with the primary descriptor, recover the contents of the primary descriptor from the backup copy included in the secondary descriptor and store the contents of the backup copy to primary descriptor.
Residue prediction of packed data
In an approach for protecting recoding logic in a computing environment, a processor obtains an operand of an instruction in a first data format. A processor converts the operand from the first data format to a second data format. A processor generates a predicted residue of the operand in the second data format, wherein generating the predicted residue of the operand in the second data format comprises: generating a residue of the operand from the first data format.