Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for presenting chat highlights. The program and method include generating a group profile for a plurality of users that includes a plurality of conversation segments; identifying a group of consecutively exchanged messages in a first of the plurality of conversation segments for which a difference between a starting time stamp of a first message in the group of consecutive messages and an ending time stamp of a last message in the group of consecutive messages is less than a threshold time interval representing consecutively exchanged messages; generating for display an interactive visual representation of the identified group of consecutive messages; and in response to receiving a user input that selects the interactive visual representation, generating for display a portion of the identified group of consecutive messages.

Abstract: A resource configuration method and an apparatus are disclosed. A method includes: receiving capability information from a terminal device, where the capability information of the terminal device includes information about a first processing capability supported by the terminal device; and determining, based on the capability information of the terminal device, first processing capability configuration information of at least one frequency band used for the terminal device. The terminal device may report the capability information of the terminal device, so that the first processing capability configuration information of the at least one frequency band can be determined based on the capability information of the terminal device.

Abstract: A machine characterization device for determining one or more machine characterization parameters of a computing device depending on a machine signature determined from sets of timing measurements associated with at least one machine characterization instruction executed by one or more processors comprised in the computing device using at least two machine configurations. A machine configuration comprises a sequence of two or more machine configuration instructions defining an order of execution of one or more instructions by the one or more processors.

Abstract: A system and method include receiving, by a database engine of a database system associated with a virtual computing system, a user request via a dashboard for provisioning a source database with the database system, receiving, by the database engine via the dashboard, selection of a database engine type, and receiving, by the database engine via the dashboard, selection of a Service Level Agreement (“SLA”) and a protection schedule. The system and method also include provisioning, by the database engine, the source database based upon the database engine type, creating, by the database engine, an instance of a database protection system based upon the SLA and the protection schedule, including associating the instance of the database protection system with the source database, and displaying, by the database engine, the source database within the dashboard.

Abstract: A content provider has a plurality of content provider domain names, and a content delivery network (CDN) allocates a plurality of CDN domain names to the particular content provider. The content provider domain names are mapped to the CDN domain names. CDN domain names are bound to corresponding CDN clusters. The binding of the of CDN domain names to corresponding CDN clusters is modified.

Abstract: A method is provided for processing data in a database, wherein the database includes a first table and a second table. Each of the tables have a plurality of rows of data, wherein a key identifies one or more rows of data in the tables. There is a plurality of matching key pairs among the tables. Each key pair includes a key of a first table, and a matching key and a unique row of a second table. In operation, the method involves simultaneously processing row data of key pairs associated with a first row of the second table, and then simultaneously processing row data of key pairs associated with any remaining rows of the second table in sequential row order.

Abstract: The present disclosure relates generally to the field of data processing and electronic messaging systems, and, more particularly, to systems and methods for mediating a user's access to a resource to thereby prevent potential security breaches, including phishing and impersonation, malware, and security issues, particularly with respect to websites and electronic communications.

Abstract: A determination is made that a database system is resource bound resulting in a resource bound condition. Signals for the resources being bound in the database system are identified. Events associated with the signals are extracted. Events are correlated temporally to identify a time interval for which an arrival rate meter (ARM) is helpful. Database system segments are selected that effect key performance indicators associated with the identified time interval. Parameters for the selected database system segments to be deferred by the database system are estimated. The estimated parameters are incorporated into an arrival rate meter (ARM). The ARM is put into effect.

Abstract: Disclosed are various embodiments for anti-pattern detection in extraction and deployment of a microservice. A software modernization service is executed to analyze a computing application to identify various applications. When one or more of the application components are specified to be extracted as an independently deployable subunit, anti-patterns associated with deployment of the independently deployable subunit are determined prior to extraction. Anti-patterns may include increases in execution time, bandwidth, network latency, central processing unit (CPU) usage, and memory usage among other anti-patterns. The independently deployable subunit is selectively deployed separate from the computing application based on the identified anti-patterns.

Abstract: Techniques are disclosed for generating an execution plan for performing functional tests in a cloud-computing environment. Infrastructure resources and capabilities (e.g., system requirements) may be defined within an infrastructure object (e.g., a resource of a declarative infrastructure provisioner) that stores a code segment that implements the resource or capability. Metadata may be maintained that indicates what particular capabilities are applicable to each infrastructure resource. Using the metadata, the system can generate an execution plan by combining code segments for each resource with code segments defining each capability in accordance with the metadata. The execution plan may include programmatic instructions that, when executed, generate a set of test results. The system can execute instructions that cause the set of test results to be presented at a user device.

Abstract: Embodiments perform an automated process flow using machine learning. Embodiments train a machine learning component using training data that represents a user's past interactions with a software application when performing a plurality of process flows. Each process flow includes a series of tasks in a sequence. Embodiments receive data related to tasks within the software application. Embodiments predict, using the trained machine learning component, a series of tasks and a sequence for the predicted series of tasks based on the received data. Embodiments then perform the predicted series of tasks in the predicted sequence.

Abstract: A workflow manager can be configured to present a graphical interface to an entity and display a current status of a workflow via the graphical interface. Via the graphical interface, the entity can provide one or more indications that indicate an entry condition for the workflow, one or more message communications, and one or more filter conditions. The entity can activate the workflow and cause the workflow manager to identify a user population that satisfies the entry condition and cause the user population to be presented with the one or more message communications and the one or more filter conditions of the workflow. Different user segments of the user population may be assigned to different user paths, where each user segment receives different communications based on their corresponding user paths.

Abstract: Systems and methods for performing parallel computation are disclosed. The system can include: a task manager; and a plurality of cores coupled with the task manager and configured to respectively perform a set of parallel computation tasks based on instructions from the task manager, wherein each of the plurality of cores further comprises: a processing unit configured to generate a first output feature map corresponding to a first computation task among the set of parallel computation tasks; an interface configured to receive one or more instructions from the task manager to collect external output feature maps corresponding to the set of parallel computation tasks from other cores of the plurality of cores; a reduction unit configured to generate a reduced feature map based on the first output feature map and received external output feature maps.

Abstract: In response to a folder event received for a first folder, a first work item is dequeued from an ID queue and metadata of the first folder, and immediate children of the first folder, is fetched and enqueued as work items in a metadata queue. If further first folder children remain to be scanned, the first work item is updated with child IDs for each immediate child of the first folder that is a folder, and it is inserted into the ID queue. In a second pass, a child ID is dequeued and metadata of immediate children of the folder associated with the child ID is fetched and enqueued as work items in the metadata queue. The second pass is repeated for all child IDs in the updated work item. This process is repeated for each generation of children of the first folder or until a specified limit is met.

Abstract: Provided in the present disclosure are a message management method and terminal, the method comprising: receiving a first input of an operating body for a target message on a group communication interface; in response to the first input, displaying a message management widget, the message management widget comprising processing progress information of the target message; when a processing feedback message of at least one message receiving subject for the target message is received, updating display content of the message management widget.

Abstract: Systems and methods for generating status requests for units of work are disclosed. Some implementations may: manage environment state information maintaining a collaboration environment; identify one or more work unit records having potentially incorrect status values for a status parameter; generate status requests prompting user input to update the potentially incorrect status values for the one or more work unit records identified; and effectuate presentation of the status requests, such that the first status request is presented via a client computing platform associated with the first user.

Abstract: An aspect of the present disclosure facilitates early identification of problems in execution of background processes. In one embodiment, a digital processing system characterizes the consumption of multiple resources during normal prior executions of a background process and determines a baseline pattern of consumption of resources for the background process. The system then monitors a current pattern of consumption of the resources during a current execution of the background process, and checks whether the current pattern of consumption has a deviation from the baseline pattern of consumption. The system notifies a potential problem with the current execution of the background process if a deviation is determined to exist. The notifications enable a user to get an early indication of potential problems during the execution of the background process itself.

Abstract: Predicting execution duration for user-defined functions on function-as-a-service (FaaS) cloud computing platforms is disclosed herein. In one example, a processor device of an FaaS cloud computing platform detects an event that triggers execution of a user-defined function, and automatically fetches an environmental metric that represents a current attribute or condition of the operating environment in which the user-defined function will execute. The processor device then calculates a predicted execution duration for the user-defined function based on the environmental metric, and compares the predicted execution duration to an execution duration threshold. If the predicted execution duration exceeds the execution duration threshold, the processor device prevents execution of the user-defined function by the FaaS cloud computing platform. If the predicted execution duration does not exceed the execution duration threshold, the processor device may initiate execution of the user-defined function.

Abstract: Disclosed are various embodiments for automating the prediction of workload tenures in datacenter environments. In some embodiments, parameters are identified for a plurality of workloads of a software defined data center. A machine learning model is trained to determine a predicted tenure based on parameters of the workloads. A workload for the software defined data center is configured to include at least one workload parameter. The workload is processed using the trained machine learning model to determine the predicted tenure. An input to the machine learning model includes the at least one workload parameter.

Abstract: In a distributed system where a client's call to commit a transaction occurs outside the transaction's lock-hold interval, computation of timestamp information for the transaction is moved to a client library, while ensuring that no conflicting reads or writes are performed between a time of the computation and acquiring all locks for the transaction. The transaction is committed in phases, with each phase being initiated by the client library. Timestamp information is added to the locks to ensure that timestamps are generated during lock-hold intervals. An increased number of network messages is thereby overlapped with a commit wait period in which a write in a distributed database is delayed in time to ensure concurrency in the database.

Abstract: The present disclosure relates to a task execution method, apparatus, device and system, and a storage medium, wherein same relate to the technical field of computers. The method comprises: acquiring a plurality of tasks to be processed; acquiring a first task in the plurality of tasks to be processed, and controlling a task execution device associated with a current control device to execute the first task; and when a task request of any task execution device is received, acquiring, from the plurality of tasks to be processed, a second task when a target task execution device is the any task execution device, and sending the second task to the any task execution device.

Abstract: Embodiments of the invention are directed to static program code analysis and detection of architectural flaws. The system provides a rule-based anomaly detection engine structured to capture application logs during construction of technology program code and dynamically detect anti-pattern conflicts to remediate defects in the technology program code. In particular, the system receives a request to perform defect analysis of a first technology program code. In response, the system constructs a first layer transition map based on mapping each of a plurality of first classes associated with the first technology program code to one or more application layers. The system may then determine, via an anomaly detection engine component, one or more anomalies associated with the first technology program code.

Abstract: A method for managing the configuration of an in-memory database running in a cluster of computing nodes may include receiving a configuration request to apply, to an instance of an in-memory database running on a cluster of computing nodes, one or more temporary changes to a configuration of the in-memory database. In response to the configuration request, an indication to deprecate the configuration profile may be added to a configuration profile associated with the instance of the in-memory database. The configuration profile may be deprecated based at least on the configuration profile being associated with the indication. The deprecating including restoring, to a state prior to the application of the one or more temporary changes, the configuration of the in-memory database. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: In some examples, a computing system receives an indication of an increased workload portion to be added to a workload of a storage system, the workload comprising buckets of operations of different characteristics. The computing system computes, based on quantities of operations of the different characteristics in the workload, factor values that indicate distribution of operations of the increased workload portion to the buckets of operations of the different characteristics, and distributes, according to the factor values, the operations of the increased workload portion into the buckets of operations of the different characteristics.

Abstract: Techniques are described for filtering and normalizing training data used to build a predictive auto scaling model used by a service provider network to proactively scale users' computing resources. Further described are techniques for identifying collections of computing resources that exhibit suitably predictable usage patterns such that a predictive auto scaling model can be used to forecast future usage patterns with reasonable accuracy and to scale the resources based on such generated forecasts. The filtering of training data and the identification of suitably predictable collections of computing resources are based in part on autocorrelation analyses, and in particular on “delayed” autocorrelation analyses, of time series data, among other techniques described herein.

Abstract: Innovations in the area of server-side processing when committing transactions to disk in a distributed database system can improve computational efficiency at database nodes and/or reduce network bandwidth utilization. For example, when transactions are committed in a database system, at a master node of the database system, a server uses different threads for certain processor-intensive operations and certain I/O-intensive operations.

Abstract: Most of the business intelligence and analytics applications uses a data model. Any change in the source field or in the key performance indicator (KPI) calculation changes result in long turn-around time and complex changes in the background coding of the data model. A method and system for handling the source field change and the key performance indicator (KPI) calculation change in the data model has been provided. The disclosure provides a data modelling design, in particular, for handling source field changes or additions and target KPI calculation changes without any impact on the data model. The solution section is divided in two areas so as to tackle the technical problem statement points. First part is the data ingestion and second is data reporting.

Abstract: A system includes a plurality of queues configured to hold tasks and state information associated with such tasks. The system further includes a plurality of listeners configured to query one of the plurality of queues for a task, receive, in response to querying one of the plurality of queues for a task, a task together with state information associated with the task, effect processing of the received task, and communicate a result of the received task to another queue of the plurality of queues, the another queue of the plurality of queues being selected based on the processing of the received task.

Abstract: Techniques are described for enabling an application modernization system to efficiently identify various types of software development “anti-patterns” (including cloud anti-patterns) associated with software applications. An anti-pattern is broadly any characteristic of a software application or system that represents an undesirable or suboptimal solution to a problem within a given software design context. Depending on the particular software design context, examples of possible anti-patterns and cloud anti-patterns can include the use of insecure network protocols, an application's reliance on local file system access, the use of a deprecated or outdated class, function, or library, etc. An application modernization system described herein includes a modernization assessment client application that identifies the presence of anti-patterns in users' software applications using a collection of anti-pattern definitions (e.g.

Abstract: Electronic messages, such as emails, often ask questions, ask that a task be done, or assign a task. The responsive messages often forget to answer the questions and the responders often forget to calendar tasks. Advances in natural language processing provide computers the ability to notice the questions and task requests/assignments. Automated analysis of the messages can detect and highlight questions, can provide for draft responses addressing every question, and can provide for getting tasks calendared.

Abstract: One embodiment provides an information processing apparatus effective to execute a parallel job in coordination with other information processing apparatuses. In an example, the information processing apparatus includes: a memory configured to store computer readable instructions; and a processor configured to execute the computer readable instructions sored in the memory, the computer readable instructions including: providing an instruction to issue barrier communication of error information; and propagating the error information to each of the other information processing apparatuses based on the instruction for the barrier communication.

Abstract: A system may assist with checking policy impact in a software-defined infrastructure environment. The system's data analysis may enable it to discover and quantify the impact of policies on software-defined infrastructure objects in the same or different layers.

Abstract: Embodiments of the disclosure provide a page data acquisition method, apparatus, a server, an electronic device and a computer readable medium, and relate to the field of computer technology. The page data acquisition method includes communicating with a server, and obtaining configuration information from the server. Configuration information includes control information. The page data acquisition method includes traversing the controls in a current page, and for each of the controls, judging whether the control is one indicated by the control information in the configuration information, setting a listener for the control in response to the control being one indicated by the control information in the configuration information, and performing behavior data acquisition on the control by the listener.

Abstract: A queuing requester for access to a memory system is provided. Transaction requests are received from two or more requestors for access to the memory system. Each transaction request includes an associated priority value. A request queue of the received transaction requests is formed in the queuing requester. Each transaction request includes an associated priority value. A highest priority value of all pending transaction requests within the request queue is determined. An elevated priority value is selected when the highest priority value is higher than the priority value of an oldest transaction request in the request queue; otherwise the priority value of the oldest transaction request is selected. The oldest transaction request in the request queue with the selected priority value is then provided to the memory system. An arbitration contest with other requesters for access to the memory system is performed using the selected priority value.

Abstract: Methods are provided. A method includes announcing to a network meta information describing each of a plurality of distributed data sources. The method further includes propagating the meta information amongst routing elements in the network. The method also includes inserting into the network a description of distributed datasets that match a set of requirements of the analytics task. The method additionally includes delivering, by the routing elements, a copy of the analytics task to locations of respective ones of the plurality of distributed data sources that include the distributed datasets that match the set of requirements of the analytics task.

Abstract: Implementations for scheduling a sub-idle thread priority class are described. An example method may include assigning, by a scheduler of a computer system, a sub-idle execution priority class to a code optimization thread; responsive to determining that a central processing unit has been idle for at least a threshold period of time, running the code optimization thread; and generating, by the code optimization thread, an optimized code of a program executable by the computer system. The method may further execute the optimized code.

Abstract: A system implements task contention reduction via policy-based selection. Tasks waiting to be performed are indexed in a task data structure that groups the tasks based on the resources to which the tasks pertain. Workers request batches of tasks for the workers to perform. A scan cycle includes building multiple batches of tasks by scanning the task data structure for a requesting worker. A policy (e.g., random or some other form of optimization) determines where the scan cycle starts in the data structure. Each batch of tasks is delivered to a worker along with a token that keeps the state of the scan cycle (e.g., where the scan cycle started, and where the next scan to build the next batch within the scan cycle begins). The worker returns the token with the next request for the next batch and the next batch is built based on the token's state information.

Abstract: An example operation may include one or more of identifying application instances in a cluster group, receiving a request to perform a consensus decision regarding ownership of the cluster group via peer nodes of a blockchain, identifying individual consensus decision votes from the peer nodes, and performing the consensus decision based on the individual consensus decision votes.

Abstract: In one embodiment, a method includes receiving a first user request to execute a first task comprising one or more sub-tasks from a client system associated with a user, receiving a second user request to suspend the first task from the client system, storing a dialog state for the first task in response to the second user request, wherein the dialog state comprises results of executed sub-tasks and a status indicating the first task is suspended, receiving a third user request to resume the first task, accessing the dialog state for the first task, and providing a prompt to resume the first task at the client system.

Abstract: Computing device state or activity based task reminders and automatic tracking of statuses of task-related activities are provided. Users are enabled to create reminders that are triggered based on a device state of the user's device or activity signals from the operating system, an application, or a user file. The status of a task item can be inferred from signals collected from one or more sources. The signals provide information associated with tasks that the user performs in various life events. Machine learning, statistical analysis, behavioral analytics, and data mining techniques are applied to the signals, and the user's activities are mapped to task items that the user has created. An inferred status of a task activity can be shared with other systems, or can be used for a variety of functions (e.g., to automatically update the user's task list, or to remind the user of an uncompleted task item).

Abstract: The present disclosure relates to systems and methods for deploying enterprise systems in cloud environments. In one implementation, a system for deploying an enterprise system in a cloud environment may include at least one processor configured to provide: one or more first containers hosting at least one application with at least one enterprise function; one or more second containers hosting at least one microservice configured to activate the at least one enterprise function; at least one application programming interface (API) between the at least one microservice and at least one client; and at least one gateway configured to manage access to the at least one API.

Abstract: Mechanisms and techniques are employed for managing the allocation and load balancing of storage system resources for the containerized, distributed execution of applications on a storage system. A control component executing on a processing component of the storage system may control reserving the necessary resources on one or more processing components to implement an application, and control a container management module to create, deploy and/or modify one or more containers on one or more processing components of the storage system. The one or more containers then may be executed to implement the application. Multiple processing components of the storage system may have a resource management module executing thereon. The control component may exchange communications with the one or more resource management modules of each processing component to determine the resources available within the processing component; e.g.

Abstract: In a computer-implemented method for facilitating recognition of header fields in electronic communication documents, header definition data and an electronic communication document are received. The header definition data defines one or more characteristics of a first header format, wherein the one or more characteristics include one or both of (i) keywords or partial keywords, and (ii) positions, corresponding to one or more header fields. Text-based content of the electronic communication document includes conversation segments, which include one or more headers. Using the header definition data, values of header fields of at least one of the plurality of conversation segments are determined. Using the determined values, an ordered relationship between the electronic communication document and one or more other electronic communication documents is determined.

Abstract: System and method for performance control in a cloud computing environment uses dependency hierarchy between software entities executing in the cloud computing environment and operational status of each of the software entities executing in the cloud computing environment. Using the dependency hierarchy between the software entities and the operational status of each of the software entities, a scaling operation is performed to the virtual computing instances such that a service-level objective (SLO) of the cloud computing environment satisfies a predetermined threshold.

Abstract: In certain aspects, a tag memory comprises a plurality of non-configurable tag columns configured to be powered on during a normal operation; and a plurality of configurable tag columns, wherein a first portion of the plurality of configurable tag columns is configured to be powered off during the normal operation and a second portion of the plurality of configurable tag columns is configured to be powered on during the normal operation.

Abstract: Aspects of the present disclosure are presented for an AI system featuring specially designed AI hardware that incorporates security features to provide iron clad trust and security to run AI applications/solution models. Presented herein are various security features for AI processing, including: a trust and integrity verifier of data during operation of an AI solution model; identity and trust establishment between an entity and the AI solution model; secure isolation for a virtual AI multilane system; a real-time attack detection and prevention mechanism; and built in detection mechanisms related to rogue security attack elements insertion during manufacturing. Aspects also include security to implement an AI network interconnecting multiple user devices in an AI environment.

Abstract: A workload compliance governor system includes a management system coupled to a computing system. A workload compliance governor subsystem in the computing system receives a workload performance request associated with a workload, exchanges hardware compose communications with the management system to compose hardware components for the workload, and receives back an identification of hardware components. The workload compliance governor subsystem then determines that the identified hardware components satisfy hardware compliance requirements for the workload, and configures the identified hardware components in the computing system based on the software compliance requirements for the workload in order to cause those identified hardware components to provide an operating system and at least one application that operate to perform the workload.

Abstract: A method for content caching in information centric network virtualization includes receiving, by a first node, a first data packet; in response to a cache distance identifier hop of the first data packet being less than a preset maximum cache distance, setting hop=hop+1 and sending the first data packet to a next node by the first node; in response to the hop being not less than the preset maximum cache distance and there being available cache space in the first node, setting hop=0, storing the first data packet, and sending the first data packet to the next node by the first node. The node determines whether to cache a data packet based on the cache distance identifier of the data packet, which comprehensively considers the cache energy consumption caused by caching the data packet in the node and the transmission energy consumption caused by transmission of the data packet in the link, thereby effectively reducing the total energy consumption of the network.

Abstract: The disclosed embodiments disclose techniques for leveraging instrumentation capabilities to enable monitoring services. During operation, an operating system kernel is instrumented to associate a sub-program with a target operation. Upon receiving a request from an application to perform the target operation, the operating system kernel executes the sub-program with kernel privileges in the process context of the application. The sub-program analyzes the memory space associated with the application to extract a desired data value. This extracted data value is returned to at least one of a specified target process or target location.

Abstract: Methods for operation fragmentation with metadata serialization in query processing pushdowns are performed by systems and devices. A compute node receives a query directed to database data, and generates query text fragments. Portions of metadata of the database are read from different page servers, and are serialized by the compute node. Page identities of data pages in a page server that stores the data are determined from a page index at the compute node, and the compute node provides the text fragments, the serialized metadata, and the page identities to the page server storing the data. The page server compiles the text fragments based on the serialized metadata to generate an executable query plan for the query. The page server initializes and performs execution of the executable query plan against the data as a pushdown query operation, and a result of pushdown query operation is provided to the compute node.