Abstract: The invention relates to an operation method and device and a related product, the product comprises a control module, and the control module comprises an instruction caching unit, an instruction processing unit and a storage queue unit; the instruction caching unit is used for storing a calculation instruction associated with the artificial neural network operation; the instruction processing unit is used for analyzing the calculation instruction to obtain a plurality of operation instructions; the storage queue unit is used for storing instruction queues, and the instruction queues comprise a plurality of operation instructions or calculation instructions to be executed according to the sequence of the queues. Through the method, the operation efficiency of related products during operation of the neural network model can be improved.

Abstract: In some embodiments, a method determines when a packet is fragmented into multiple fragmented packets in a flow between a first workload and a second workload. The method switches from generating an outer source port in the outer header using layer 4 information from the inner header to using layer 3 information from the inner header. A fragmented packet is encapsulated with the outer header that includes an outer source port value that is generated using the layer 3 information. The method initiates a process to determine when to switch back to using layer 4 information from the inner header to generate the outer source port. When it is determined to switch back to using layer 4 information, the method switches back to using layer 4 information from the inner header to generate the source port in the outer header of a packet from the first workload.

Abstract: Methods, systems, and computer program products are provided that automatically scale an application between private and public cloud computing platforms, while simultaneous enforcing policies ensuring private data is persistently stored on the private cloud computing platform, but not the public cloud computing platform. A traffic manager on the public platform routes traffic to instances of a web app executing on a private platform. A traffic monitor on the private platform monitors performance criteria of the private platform, and reports traffic telemetry to the traffic manager. Based on the traffic telemetry, the traffic manager may instantiate one or more instances of the web app on the public platform to handle traffic. Private data gathered by such instantiated instance(s) is persisted to storage in the private platform, but not in the public platform.

Abstract: In accordance with an embodiment, a system and method for dynamic auto-scaling based on roles is provided. Within a system, a node, based upon a load demand, can be duplicated. Additionally, when duplicating a node, the role of the node can be used to determine various characteristics of the duplicated node, taking into account various factors.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in a content system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods determine a breaking news story and track breaking developments in such story. The present disclosure can construct a breaking news storyline from the developments in the detected breaking news story, whereby a user can view the storyline as individual breaking news messages or as a complete timeline of events displayed on a provided page.

Abstract: An application server may receive, via a user interface of a cloud-based data management platform storing a set of data objects, a user input to generate a communication channel of a group-based communication platform that is separate from the cloud-based data management platform. In some examples, the communication channel may be for a data object of the plurality of data objects. The application server may then retrieve a group of users that are linked to the data object within the cloud-based data management platform and display a list of options for generating the communication channel. The list of options may include the group of users for including in the communication channel, a privacy level for the communication channel, and an identifier of the communication channel. The application server may generate an executable packet of instructions and transmit the executable packet of instructions for ingesting into the group-based communication platform.

Abstract: The invention is notably directed to a method, computer program product, and computer system for running software inside containers. The method relies on a computerized system that includes a composable disaggregated infrastructure, in addition to general-purpose hardware. The computerized system is configured to dynamically allocate computerized resources, which include both general resources and specialized resources. The former are enabled by the general-purpose hardware, while the latter are enabled by specialized network-attached hardware components of the composable disaggregated infrastructure. The method maintains a table capturing specializations of the specialized network-attached hardware components. At runtime, software is run inside each container by executing corresponding functions.

Abstract: Embodiments of the present invention provide a human-machine interaction method, including: detecting and collecting, by a robot, sensing information of a companion object of a target object and emotion information of the target object that is obtained when the target object interacts with the companion object; extracting, by the robot, an emotion feature quantity based on the emotion information, determining, based on the emotion feature quantity, an emotional pattern used by the target object to interact with the companion object, determining, based on the emotional pattern, a degree of interest of the target object in the companion object, extracting behavioral data of the companion object from the sensing information based on the degree of interest, and screening the behavioral data to obtain simulated object data; and simulating, by the robot, the companion object based on the simulated object data.

Abstract: A device may receive a request for an application from a user device, network data for a network provider and a cloud provider associated with the user device, and SLA constraints. The device may calculate a plurality of cost vectors associated with defining a path for the user device to access the application, and may identify a network provider device that provides a first least cost path and satisfies a first threshold. The device may identify, from a plurality of cloud provider devices, a set of cloud provider devices that support the application for the network provider device, and may identify a cloud provider device that provides a second least cost path and satisfies a second threshold. The device may cause the application to be provided from the cloud provider device to the user device, via the network provider device.

Abstract: An example branch gateway includes processing circuitry, memory including instructions, and a plurality of ports. The branch gateway transmits, from a plurality of ports, a first broadcast message. The branch gateway receives, in response to the first broadcast message, response messages on respective ports. The branch gateway determines, based on a receipt order of the response messages, an identifying address from a first response message. The branch gateway assigns the respective port for each response message to a unique VLAN. The branch gateway determines, for each port assigned to a unique VLAN, a link health parameter. The branch gateway selects a primary port to connect to an activation server of a WAN. The branch gateway selects a secondary port to connect to the activation server.

Abstract: Embodiments provide a system and method for building idempotent configuration management modules for cloud infrastructure services. Idempotency of a configuration management (CM) task in a CM plan is one of the mechanisms used to achieve repeatable and reliable automations of configuration management tasks. This helps DevOps and operations personnel reliably apply and maintain configuration of their systems.

Abstract: A method by an email sending system to send emails from different public sending network addresses. The method includes receiving, by a load balancer, an email that is to be sent by the email sending system, sending, by the load balancer, the email to a mail transfer agent (MTA) instance from a plurality of MTA instances, wherein each of the MTA instances has access to configuration data that indicates which proxy virtual machines (VMs) serve as egresses for which public sending network addresses, determining, by the MTA instance, a public sending network address to send the email from, determining, by the MTA instance based on consulting the configuration data, a proxy VM that serves as an egress for the public sending network address, and sending, by the MTA instance, the email to the proxy VM for sending to its destination from the public sending network address.

Abstract: An example operation may include one or more of monitoring a plurality of brokers within a cluster to identify current workload attributes of the plurality of brokers, determining a health value of a lead broker within the cluster via execution of a machine learning model on current workload attributes of the lead broker, determining to modify resources assigned to the lead broker based on the determined health value of the lead broker, executing an optimization algorithm on the current workload attributes of the plurality of brokers within the cluster to determine an optimum task distribution, and reallocating tasks amongst the lead broker and the one or more other brokers within the cluster based on the optimum task distribution.

Abstract: Methods, computer systems, and computer-storage media, and graphical user interfaces are provided for facilitating efficient meeting management, according to embodiments of the present technology. In one embodiment, engagement data associated with an attendee of an online meeting is obtained. Thereafter, an engagement metric is generated using the engagement data, the engagement metric indicating an extent of engagement of the attendee to the online meeting. Based on the engagement metric indicating that the extent of engagement of the attendee to the online meeting falls below an engagement threshold, a request is provided to disconnect or throttle an audio and/or video stream of the online meeting to and/or from an attendee device associated with the attendee of the online meeting. Efficient meeting management may also be performed by clustering related messages.

Abstract: Systems and methods for modernizing workspace and hardware lifecycle management in an enterprise productivity ecosystem are described. In some embodiments, a client Information Handling System (IHS) may include a processor and a memory, the memory having program instructions that, upon execution by the processor, cause the client IHS to: receive, from a workspace orchestration service, one or more files or policies configured to enable the client IHS to instantiate a first workspace based upon a first workspace definition; allow a user to execute a non-vetted application in the first workspace; determine that the first workspace is compromised; and receive, in response to the determination, from the workspace orchestration service, one or more other files or policies configured to enable the client IHS to instantiate a second workspace based upon a second workspace definition, where the second workspace definition allows execution of a vetted application corresponding to the non-vetted application.

Abstract: A system performs continuous delivery of a data pipeline on a cloud platform. The system receives a specification of the data pipeline comprising data pipeline units. The system generates a deployment package for each data pipeline unit for a cloud platform. The system provisions computing infrastructure on the cloud platform according to the system configuration of the data pipeline unit. The data pipeline may be implemented as a data mesh. The data pipeline generates one or more data models. The system receives a schema representing a modification in a data model based on a change in the requirements of a consumer system. The system determines the changes to the data pipeline based on the received schema and reconfigures the data pipeline to generate the modified data model. The system manages access control of data to minimize the exposure to data in case of accidental or malicious data breach.

Abstract: The present disclosure is to determine a probable root cause of a performance issue. For example, a method can include processing, using a processor, a set of calls for a Hypertext Transfer Protocol (HTTP) transaction wherein individual calls of the set of calls have a set of parameters; and identifying, using the processor, that the HTTP transaction has a performance issue that falls below a predetermined level of a performance metric. Further steps can include separating, using the processor, the set of calls into a first group with the performance issue and a second group without the performance issue; discovering, using the processor, a common subset of parameters among the first group; and determining that the common subset of parameters is a probable root cause of the performance issue if the common subset of parameters is not found in the second group.

Abstract: Provided is a process of autonomous distributed workload and infrastructure scheduling based on physical telemetry data of a plurality of different data centers executing a plurality of different workload distributed applications on behalf of a plurality of different tenants.

Abstract: A computer-implemented method includes receiving, by a proxy device, a document from a service provider in response to a request to the service provider from a client device. The proxy device injects into the document event monitoring code for monitoring user actions on the client device. The proxy device sends the document with the event monitoring code to the client device. The event monitoring code intercepts a user request for a file upload event using a client-side application on the client device. The proxy device receives a client request including file information regarding the file upload event from the event monitoring code. The proxy device determines whether the file upload event should be allowed or blocked based on the received file information and stored policy data.

Abstract: A computing system includes persistent storage configured to store representations of software applications installed on computing devices, and a software application configured to perform operations, including retrieving, from the persistent storage, a first plurality of representations of a first plurality of software applications installed on a particular computing device and a second plurality of representations of a second plurality of software applications installed on a reference computing device. The operations also include determining a device fingerprint of the particular computing device based on the first plurality of representations and a reference device fingerprint of the reference computing device based on the second plurality of representations, and comparing the device fingerprint to the reference device fingerprint.