Abstract: Techniques for intelligently routing IO to a storage class memory (SCM) namespace are disclosed. A configuration for a namespace is determined, where the configuration indicates a type of IO that the namespace is structured to handle. Details about the configuration of the namespace are stored in a repository. A forwarding rule is generated based on the namespace's stored configuration. When incoming IO having attributes similar to that type is received, implementation of the forwarding rule causes the incoming IO to be directed to the namespace. Attributes of a particular incoming IO are determined. As a result of the attributes satisfying a similarity threshold relative to the type, the forwarding rule is implemented such that the particular incoming IO is directed to the namespace.

Abstract: Embodiments of the present disclosure relates to managing resources. The embodiment include receiving a first request from a first application to process first data using a target resource and a second request from a second application to process second data using the target resource and determining a first quantity and a second quantity based on the first request and the second request, the first quantity indicating an amount of data in the first data to be processed using the target resource, the second quantity indicating an amount of data in the second data to be processed using the target resource. The method further comprises causing the first application to process the first quantity of data in the first data using the target resource and causing the second application to process the second quantity of data in the second data using the target resource.

Abstract: An anomaly with a disk array enclosure (DAE) of a set of DAEs connected to a host server is detected. Each DAE is chained to another DAE by first and second chains and includes a serial attached SCSI (SAS) expander and a peer SAS expander. The SAS expander in a DAE forms part of the first chain. The peer SAS expander in the DAE forms part of the second chain. Upon detection, DAE log collection is triggered to obtain logs for storage in a repository, separate from the DAEs. The logs are tagged with an anomaly class of a set of anomaly classes. For each anomaly class, a number of logs stored in the repository is limited to a threshold number.

Abstract: The present disclosure provides methods and systems directed to detection of kidney disease or disorder. A method for processing or analyzing a bodily sample of a subject may comprise (a) analyzing the bodily sample to yield a data set comprising one or more levels of gene expression products in the bodily sample, which one or more levels of gene expression products correspond to a set of genes associated with a kidney disease or disorder; (b) computer processing the data set to determine a presence or an elevated risk of the kidney disease or disorder in the subject; and (c) electronically outputting a report that identifies the presence or the elevated risk of the kidney disease or disorder in the subject.

Abstract: An air freight rate data caching method and system. The method includes converting air freight rate data into a data format of a first-level cache, and storing same in the first-level cache; performing, on the basis of a flight origin city and a flight destination city, data fragmentation on the air freight rate data stored in the first-level cache so as to generate fragmented data; and storing the fragmented data, after same is validated, in a second-level cache. Each data node of the fragmented data cached in the second-level cache only includes part of the air freight rate data on which a fragmentation algorithm can be performed, and therefore, the horizontal expansion capacity of a cache system is improved relative to the case where cached data copies are all complete sets.

Abstract: Techniques and apparatus for an interactive element presentation process are described. In one embodiment, for example, an apparatus may include logic operative to store a plurality of model specifications for computational models, monitor the object storage service for at least one model event using a first serverless computing service, provide the plurality of model specifications associated with the at least one model event to one of a plurality of serverless computing clusters, generate model data for each of the plurality of model specifications, store the model data for each of the plurality of computational models in the object storage service, monitor the object storage service for at least one data event associated with the model data using a second serverless computing service, cause the plurality of instances to generate a plurality of trained model specifications based on training of the plurality of computational models. Other embodiments are described.

Abstract: Disclosed is the use of Belinostat or a pharmaceutically acceptable salt thereof in preparation of a drug for treating an infection. Also disclosed are related methods and compositions.

Abstract: A terminal device can include a metal contact component. The metal contact component can include a metal substrate and a non-allergenic contact layer which is on the metal substrate and the non-allergenic contact layer forms a part of outer surface of the terminal device.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for data processing. According to an exemplary implementation of the present disclosure, a method for data processing includes: determining a type of target data associated with an access request, the type including at least one of: computation data type, recovery data type, and hot data type; selecting, based on the type, a target access mode of a storage device associated with the target data from a direct access mode and a block device mode; and causing the storage device to access the target data in the target access mode. As a result, good management of quality of service can be achieved for storage devices.

Abstract: An axially rotating electric heating device for extracting tobacco includes a heating cavity outer shell, a heating cavity inner shell, and a heating assembly. The heating assembly includes a heating cavity that accommodates a smoking product and a heating element located in a cigarette heating cavity. The heating cavity is surrounded by the heating cavity inner shell; the heating element is inserted into the smoking product so as to heat the smoking product. The heating cavity inner shell is located at the front end of the heating assembly; the heating cavity outer shell and the heating cavity inner shell form an integral body; the heating cavity may rotate relative to the axis of the heating element to separate the smoking product from the heating element, thereby facilitating the extraction of the smoking product after smoking is finished.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for data compression. The method includes: comparing the size of a first data packet to be compressed with a first threshold size; if the size of the first data packet is greater than the first threshold size, determining at least two second data packets from the first data packet, wherein the size of each second data packet is less than a second threshold size; and respectively compressing the at least two second data packets. In this way, the delay of data compression can be shortened.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for training a model. The method includes: acquiring a test set and a training set for training models, the test set and the training set each including workload data associated with normal storage devices and workload data associated with exceptional storage devices; training a device detection model using the training set, the device detection model being used to classify storage devices as normal storage devices or exceptional storage devices according to a threshold degree, with the threshold degree being within a range; determining a test result by applying the test set to the device detection model; and updating the range of the threshold degree if it is determined that the test result indicates that the performance of the device detection model does not reach a threshold performance. With this method, storage devices can be accurately detected by the trained model.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a disk controller of a plurality of disks of a data storage system, collecting usage telemetry from the plurality of disks and initiating determination of one or more candidate time slots for performing a battery learn cycle using a machine learning model. The machine learning model is trained using the usage telemetry from the plurality of disks. The method also includes, by the disk controller, presenting one or more of the one or more candidate time slots for performing a battery learn cycle.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for upgrading a storage system. The method includes: acquiring information about a set of candidate periods related to a workload of a storage system, the storage system having a workload lower than a first predetermined threshold during the set of candidate periods; determining, based on user information of the storage system, a target period for upgrade from the set of candidate periods; and performing an upgrade operation on at least a part of components among multiple components of the storage system during the target period. In this manner, the upgrade operation for the storage system can be improved.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for managing a storage system. The method includes: determining, at a first device of the storage system, whether a load of a first accelerator resource of the first device exceeds a load threshold; sending, if it is determined that the load exceeds the load threshold, a job processing request to a second device in a candidate device list to cause the second device to process a target job of the first device using a second accelerator resource of the second device, the candidate device list indicating devices in the storage system that can be used to assist the first device in job processing; receiving, from the second device, latency information related to remote processing latency of processing the target job using the second accelerator resource; and updating the candidate device list based on the latency information. The embodiments of the present disclosure can optimize the system performance.

Abstract: Aspects of the disclosure include an escalated authentication system based on user behavior patterns. A user's behavior pattern on a device is collected and/or learned. The collected or learned pattern can be compared to subsequent behavior patterns to determine whether the current user is genuine or suspicious. Users deemed suspicious are subject to increased authentication requirements, often on-the-fly.

Abstract: One example method includes identifying a source of a performance issue in a virtualized environment. Telemetry data is collected relative to the flow of a request/response in the virtualized environment. The collected telemetry data can be compared to normal data. A probability can be generated for each layer to identify which of the layers is the most likely source of the performance issue. The layers can be prioritized based on their probability. The most likely layer or virtual machine is recommended for analysis to determine the cause of the performance issue.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for managing a storage system. The method includes: if it is determined based on current values of a plurality of attribute parameters of a storage device in a storage system that the storage device will have a fault, determining whether the fault of the storage device will not occur again based on reference values of attribute parameters in a first set in the plurality of attribute parameters and current values of attribute parameters in a second set in the plurality of attribute parameters. The method further includes: if it is determined that the fault of the storage device will not occur again, determining a cause of the fault based on the attribute parameters in the first set. The embodiments of the present disclosure can analyze a cause of a fault of a storage device, thereby avoiding the misjudgment of a storage device having no internal fault as a storage device having an internal fault.

Abstract: The invention relates to the technical field of vehicle design, and aims to solve the problem that an existing vehicle body design method is likely to cause a high scrap rate of a stamped part constituting a vehicle body in a manufacturing process. To this end, the invention provides a method for improving the design of a vehicle-body stamped part, the method including: obtaining thinned portions with thinning rates exceeding a standard rate on a stamped part that has been formed; screening a first portion with a defect rate and/or a defect type not meeting a preset requirement from the thinned portions; and adjusting a shape, a size, and/or a material of a second portion that is the same as the first portion on an original design model of the stamped part to obtain a target design model.

Abstract: A method, electronic device, and a computer readable medium for managing backup data that includes determining an expiration time of backup data in a data set to be backed up in a source storage device, and determines a priority of the backup data to be migrated in a migration operation to be performed based on the expiration time. The method may also include migrating backup data with the same priority in the data set to be backed up to a target storage device to reduce a write amplification factor of a storage device, and prolong the service life of the storage device.