Abstract: One example method includes identifying a cloud object as a potential candidate for defragmentation, evaluating the cloud object to determine what portion of segments of the cloud object are expired, when the portion of expired segments meets or exceeds a threshold, segregating the expired segments and unexpired segments of the cloud object, creating a first new cloud object that includes only unexpired segments, creating a second new cloud object that includes only expired segments, and deleting the cloud object from storage.

Abstract: A method by which a terminal transmits an SRS can comprise the steps of: receiving, from a base station, first information indicating symbols to which the SRS is transmitted among a plurality of symbols, when the terminal is configured to perform antenna switching for an SRS transmission on the plurality of symbols; and transmitting the SRS on the indicated symbols, wherein the SRS is transmitted through antenna ports respectively corresponding to the indicated symbols, and the antenna ports respectively corresponding to the indicated symbols can be different from each other.

Abstract: Apparatuses, methods, and systems are disclosed for providing a radio link failure indication. One method includes counting a number of consecutive discontinuous indications. The method includes comparing the number of consecutive discontinuous indications to a predetermined threshold. The method includes, in response to the number of consecutive discontinuous indications being greater than the predetermined threshold, providing a radio link failure indication.

Abstract: The present invention discloses a medical clinical data quality analysis system based on big data, which relates to the field of medical big data technologies. The present invention is used to solve the technical problems that multi-link classified acquisition cannot be carried out on medical behaviors, and the quality of clinical data cannot be analyzed and reflected at the front end, middle link, and tail end of management. In the present invention, authenticity data, compliance data, process data and conclusive data are comprehensively acquired in admission, hospitalization, and discharge links of medical clinical data quality management, which is conducive to implementing multi-link classified acquisition of clinical medical behaviors, thereby facilitating subsequent dynamic and orderly quality analysis and control of clinical data.

Abstract: Methods, systems, and computer program products to combine multiple telemetry data signals to generate a single higher resolution signal. In embodiments, the method includes: modulating a sampling of telemetry data by at least two network devices; receiving telemetry data from the at least two network devices; combining the received telemetry data; and determining a status of the network and/or network devices based on a processing of the combined telemetry data.

Abstract: Systems, methods, and other techniques for genealogical entity resolution. The systems obtain first tree data and second tree data, the first tree data corresponding to a first tree person and the second tree data corresponding to a second tree person. The systems extract a set of features from the first tree data and the second tree data. The systems further generate an individual-level similarity score for each possible pairing of tree persons based on the set of features to identify a set of most-similar tree persons based on the individual-level similarity score for each possible pairing. The systems also provide a plurality of individual-level similarity scores for the set of most-similar tree persons as input to a family-level ML model to determine that the first tree person and the second tree person correspond to a same individual.

Abstract: A distributed, transactional database uses timestamps, such as logical clock values, for entry versioning and transaction management in the database. To write to the database, a service requests a timestamp to be inserted into the database with a new version of data. During a backup procedure, a cleanup process is paused, issuing new timestamps is paused, and a backup timestamp is generated, which results in an effective backup copy. During a restore of a backup, a snapshot of the database is loaded and any entries older than the backup timestamp are deleted, which ensures that a consistent restore has occurred.

Abstract: An event processing system may identify duplicate events and prevent one or more of the duplicate events from being processed. The event processing system may determine the duplicate events, which are not permitted to be processed more than once, and allow these duplicate events to be processed exactly once. The event processing system may allow events, which are permitted to be processed more than once, to be processed without determining whether the events are duplicate events. If a main data center of the event processing system fails, a backup data center may take over instantly event processing from the main data center and may prevent events that have been processed by the main data center from being processed. Multiple data centers may work together and process events in an active-active mode by offering the exactly once processing as well as removing any duplicate events from upstream systems.

Abstract: Systems and methods are described for merging customer profiles, such as may be implemented by a computer-implemented contact center service. In some aspects, a subset of profiles may be determined that satisfy merging criteria, where individual profiles include a plurality of data fields. At least one value in a first data field that conflicts between at least two profiles may be identified. Next a merged value may be selected for the first data field based on data deduplication criteria, where the data deduplication criteria includes at least one indicator of accuracy of values of the plurality of data fields. As a result of a determination that at least the subset of profiles of the group of profiles meet the merging criteria, at least the subset of profiles may be combined into a combined profile using the merged value.

Abstract: A transmission control protocol (TCP) flow control method is provided, which comprises: sending a data packet from a packet processor to a receiver and storing a copy of the data packet; receiving a current ACK packet with a current packet number; determining whether the current packet number is identical to a last packet number and whether a last substitute ACK packet generated by the input ACK filter exists; and performing steps respectively corresponding to different results of this determination to avoid TCP congestion control timely. A TCP flow control device performing the method is also disclosed.

Abstract: The subject matter of this specification can be implemented in, among other things, a method that includes storing first client information identifying a first client device, identifying a location of the first client device, and identifying a first remote access session that provides the first client device access to resources of the remote access system. The method further includes receiving access information identifying an access device and a user account associated with the first client information. The access information indicates that the user account has been successfully authenticated by the access device. The method further includes, in response to the receipt of the access information, causing the first client device to connect to the first remote access session with the remote access system as a background process of the client device while a user interface of the client device remains locked.

Abstract: Methods and systems for managing, storing, and serving data within a virtualized environment are described. In some embodiments, a data management system may manage the extraction and storage of virtual machine snapshots, provide near instantaneous restoration of a virtual machine or one or more files located on the virtual machine, and enable secondary workloads to directly use the data management system as a primary storage target to read or modify past versions of data. The data management system may allow a virtual machine snapshot of a virtual machine stored within the system to be directly mounted to enable substantially instantaneous virtual machine recovery of the virtual machine.

Abstract: An example method may include receiving, in a virtualized execution environment, a data access request from a storage system, identifying, in view of a virtualized execution image associated with the virtualized execution environment, an application running in the virtualized execution environment, generating a cache classification that specifies whether data accessed by the application is suitable for cache compression, including, in the data access request, a tag indicating whether cached data is to be accessed in a compressed-memory cache, wherein the tag is determined in view of the cache classification, and sending, to a server of the storage system, the data access request. The application can be identified in view of metadata included in the virtualized execution image, where the metadata comprises one or more of an application name or an application version.

Abstract: In a network Fault Management (FM) model, network equipment (160) maintains a ManagedElement object (12). The ManagedElement object contains one or more ManagedFunction objects (14, 22, 24, 26) with each ManagedFunction object (16) comprising an FMControl object specifying the capabilities of the ManagedFunction objects to produce, report, and log fault reports, a Fault Type List object (18) listing the various types of faults the ManagedFunction object can detect, report, and log, and a currentFaultList object (20) listing the current faults and associated fault information. The FMControl object further includes several attributes that are set by a Management System (30) to control the reading of fault reports as well as the sending of the fault reports to other interested network nodes (190).

Abstract: A system and method of autonomous data hub processing that uses semantic metadata, machine learning models, and a permissioned blockchain to autonomously standardize, identify and correct errors in supply chain data is disclosed. Embodiments input supply chain data stored in a supply chain database, train with the machine learning model trainer, one or more machine learning models to identify one or more data errors in the supply chain data, clean the one or more identified data errors from the supply chain data, and store cleaned supply chain data. Embodiments also update one or more machine learning models to identify one or more data errors in cleaned supply chain data, and join and aggregate one or more sets of cleaned supply chain data.

Abstract: A method includes receiving a plurality of configurations comprising a first configuration for provisioning a first set of network services at a first resource of an edge device and a second configuration for provisioning a second set of network services at the first resource, a first configuration group identifier identifying a configuration group for the first configuration, and a first network performance parameter for the configuration group. The method further includes determining a performance factor for the first resource providing the first set of network services to one or more client devices. The method further includes, in response to determining that the performance factor does not satisfy the first network performance parameter for the configuration group and that the first configuration group identifier identifies the configuration group for the first configuration, moving the first configuration from the first resource to a second resource of the edge device.

Abstract: In some aspects, an apparatus includes a memory and one or more processors coupled to the memory. The one or more processors are configured to receive, from a client device, a payload template request and to transmit, to the client device based on the payload template request, a payload template response including a plurality of payload templates. The one or more processors are further configured to receive, from the client device, a management request including a payload corresponding to a payload template of the plurality of payload templates and to transmit, to the client device based on the management request, a management response indicating a result associated with the management request.

Abstract: Disclosed is a method for managing an application instance by a multi-access edge computing orchestrator (MEO) in a multi-access edge computing (MEC) system in a 5G or 6G communication system for supporting a higher data transmission rate, with the method including receiving, from an operational support system (OSS), an application instantiation request including a completion timer in which to finish the instantiation request; selecting at least one MEC platform manager (MEPM) for requesting the application instantiation; transmitting, to the selected MEPM, the application instantiation request; and transmitting, to the OSS, a response indicating that the application instantiation has failed, in case that the completion timer expires before receiving a configuration response from the selected MEPM.

Abstract: Embodiments include a method of storing digital data in a blockchain by receiving the digital data from a user, deduplicating the data in a deduplication system of the user to form deduplicated data, and encoding the deduplicated data into an array format for storage on a blockchain. A smart contract is deployed for deduplication on the destination side of the data, and the deduplicated data is encoded into a Binary Aligned Map (BAM) format for storage on the blockchain. A process on the destination side stores the deduplicated array data as a next block in the blockchain only if the next block agrees with the smart contract, and the blockchain is stored in system storage comprising hard disk, solid state, tape, or optical devices.

Abstract: Various examples of the disclosure generally pertain to storing, in a distributed ledger and in association with one or more transactions, one or more identifiers of owners of respective smart contracts. Various examples of the disclosure relate to deleting transactions associated with a given party as owner upon receiving a withdrawal request of the given party.