Abstract: A system and method for aggregating host machines into a single cloud node for workloads requiring excessive resources. The method includes providing a plurality of computing devices in association with a cloud service system. The method includes defining an aggregated node of the cloud service system corresponding to at least two computing devices of the plurality of computing devices. The method includes exposing an application programming interface (API) that is indicative of combined resources of the at least two computing devices of the plurality of computing devices. The method includes receiving a query to perform a workload requiring a set of resources that exceed the resources provided by each of the computing devices of the cloud service system. The method includes forwarding, to the aggregated node, the query to cause the at least two computing devices to perform the workload using the combined resources of the least two computing device.

Abstract: Disclosed are embodiments that communicate label information for documents between two enterprise computer systems. The two computer systems operate asynchronous from each other, and have limited available resources for use in buffering information passing between them. To that end, traditional API architectures that utilize method calls and return parameters do not operate well in this environment, as a first computer systems resources can become exhausted if a second computer system is able to generate data faster than the first computer system can consume it. The problem is exacerbated if an error is experienced when processing the consumed data, especially if there are no resources available to store the data until the error can be cleared. To solve this problem, the disclosed embodiments provide an ability for a consumer to request that data previously delivered to it be delivered again by the producer, in some embodiments, after a specified time delay.

Abstract: A multicore electronic device is provided. The multicore electronic device includes a multicore including a plurality of cores, each core being configured to process packets in a driver core layer, a network processing core layer, and an application core layer, and a memory configured to store executions instructions for causing a first core of the plurality of cores to, when the packets are received, identify a location of a driver core for delivering the packets to an operating system domain, a location of an application core for processing the packets in a user domain, and a processing amount, determine a location of a network processing core for processing the packets based on at least one of the location of the driver core, the location of the application core, and the processing amount of the session, and control the network processing core to perform network stack processing on the packets.

Abstract: The present disclosure relates to techniques for handling of bidirectional command protocols via a unidirectional communication connection established between a client computing environment and a cloud-services computing environment. In one embodiment, a command request message is pushed from a service component of the cloud-services computing environment to a client gateway of the client computing environment via the unidirectional communication connection. A token indicating routing information to the service component is embedded in the pushed command request message. A command response message is received at the cloud gateway from the client gateway via a bidirectional communication connection established between the client computing environment and the cloud-services computing environment. The command response message includes the token and data associated with executing the command request message at the client computing environment.

Abstract: Techniques for facilitating quantum pulse optimization using machine learning are provided. In one example, a system includes a classical processor and a quantum processor. The classical processor employs a quantum pulse optimizer to generate a quantum pulse based on a machine learning technique associated with one or more quantum computing processes. The quantum processor executes a quantum computing process based on the quantum pulse.

Abstract: Techniques are provided for centrally analyzing data in a cloud environment. Data can be received from a cloud provider and a machine learning model of a unified smart connector is applied to the data in order to create modeled data. An operation status can be determined based on the modeled data and the unified smart connector can independently determine, for example, if additional data is needed, the type of data needed, and the source of the data.

Abstract: Electronic conferences routinely include images of documents and other resources. Accessing an address of the resource and including a link to the resource in the conference, remote participants may access the resource utilizing a native application. If the address of a resource is inaccessible to at least some of the participants, a temporary copy may be automatically provided to a secondary address and the secondary address provided in the conference. The temporary copy may be automatically deleted upon the conference ending.

Abstract: A network of chatbots is provided. The network may include a user-facing router for receiving queries and a plurality of chatbots. Each chatbot included in the plurality of chatbots may identify a single logical grouping of a domain, identify a limited number of intents from each other chatbot included in the plurality of chatbots and communicate with each other chatbot included in the plurality of chatbots. When the router receives a query, the router may receive the query with an associated domain. The router may select a chatbot based on the received domain. The router may direct the query to the selected chatbot. The selected chatbot may determine that the domain associated with the query is incorrect. The selected chatbot may identify a second chatbot based on a hook included in the query and identified within the selected chatbot. The selected chatbot may transfer the query to the second chatbot.

Abstract: Systems and methods for communicating and displaying collections of image and video clip content are described. In one example embodiment, a device receives interface information about a group of content collections from a server computer system. When a user inputs a selection of a first content collection, the device displays images and video clips in a sequence defined by the content collection. Each piece of content (e.g. image or video clip) is displayed for less than a threshold display time. When the device finishes playing the first content collection, the device automatically begins playing a next content collection. Additional content collections generated from content submitted by other client devices can be received from the server computer system, with autoforward play of additional content collections continuing indefinitely.

Abstract: Disclosed herein is a wireless device including a display, a wireless communication interface configured to wirelessly perform communication with an external device, and a processor configured to activate any one of a first connection mode in which connection with the external device is established through an access point or a second connection mode in which direct connection with the external device is established, based on a network environment and receive, from the external device, image data corresponding to a source image being displayed on the external device according to the activated connection mode and display, on the display, a mirroring image based on the received image data.

Abstract: The invention relates to a computer-implemented method for exchanging information, through a DAG/Hashgraph consensus algorithm via a gossip protocol, the method includes making a first given node select a second given node randomly and send reference information; determining based on the reference information which node events are in front of that of the others; if the reference information implies that the events of the first given node is in front of that of the second given node, then sending a cancellation information to the first given node, preventing, in consequence, the first given node from sending DAG-event information to the second given node; if the reference information implies that the events of the second given node is in front of that of the first given node, then making the first given node send DAG-event information to the second given node; and soon through the network.

Abstract: Systems, methods, and devices, including computer-readable media, for reducing medication side effects using digital therapeutics. In some implementations, a system analyzes tracking data, user data, and medication data for various users to determine a degree to which different digital therapeutics program parameters reduce a likelihood or severity of undesired effects of medications. The system generates data that associates the parameters of the digital therapeutics programs with effects of the medications. The system receives data indicating a medication prescribed for a user of a mobile device and, based on the generated data, selects one or more digital therapeutics program parameters to activate or adjust a particular digital therapeutic program to provide interactions to the user.

Abstract: Techniques for adjusting a compute capacity of a cloud computing system. In an example, a compute scaling application accesses, from a cloud computing system, a compute capacity indicating a number of allocated compute instances of a cloud computing system and usage metrics indicating pending task requests in a queue of the cloud computing system. The compute scaling application determines, for the cloud computing system, a compute scaling adjustment by applying a machine learning model to the compute capability of the cloud computing system and the usage metrics. The compute scaling adjustment indicates an adjustment to a number of compute instances of the cloud computing system. The compute scaling application provides the compute scaling adjustment to the cloud computing system. The cloud computing system adjusts a number of allocated compute instances.

Abstract: A device monitors, for a software-defined networking wide area network (SD-WAN) deployment, a set of virtualized network services of the SD-WAN deployment, and applies a set of diagnostic tests to evaluate the set of virtualized network services. The device detects, based on monitoring the set of virtualized network services and in connection with applying the set of diagnostic tests, an event associated with a virtualized network service. The device analyzes, using an analytics model of SD-WAN operation, the event to identify an issue associated with the virtualized network service, and determines, based on the analytics model of SD-WAN operation, a recommendation relating to remediating the issue. The device generates an abstraction layer user interface to represent the set of virtualized network services and to convey the recommendation relating to remediating the issue, and implements, after providing the abstraction layer user interface, the recommendation to remediate the issue.

Abstract: A request processing method and apparatus, an electronic device, and a computer storage medium are provided, which are related to the technical field of cloud computing. The request processing method includes: receiving a content delivery network (CDN) request; acquiring a dynamic code corresponding to the CDN request, wherein the dynamic code is a pre-configured code; compiling the dynamic code in real time to obtain a compiled code; and executing the compiled code. The request processing method provided in an embodiment of the present application may improve the flexibility of request processing of a CND system, and has no concurrency limitation.

Abstract: A distributed device management system specifies a device capable of supplying request data used for providing a service, from among a plurality of devices connected to a network. Device management function units are disposed so as to be geographically distributed and manage the states of the devices located in deployed areas. A device specifying function unit has a device inquiry cache in which a response log including the type of data which was previously required for the service and an identifier of the device management function unit that manages the device which was capable of supplying the data is recorded. In a case where this request data coincides with the type of data included in the response log, an inquiry is transmitted to the device management function unit associated with the request data in the response log.

Abstract: The disclosed technology relates to a process for metered training of fog nodes within the fog layer. The metered training allows the fog nodes to be continually trained within the fog layer without the need for the cloud. Furthermore, the metered training allows the fog node to operate normally as the training is performed only when spare resources are available at the fog node. The disclosed technology also relates to a process of sharing better trained machine learning models of a fog node with other similar fog nodes thereby speeding up the training process for other fog nodes within the fog layer.

Abstract: Aspects of the present invention provide an approach for exposing payloads from non-integrated machine learning systems. A generic binding identifier is established to represent a machine learning (ML) system among a set of non-integrated learning systems. A generic subscription identifier is established to represent a deployed model in the ML system. Payload data including a user request, a response, the generic binding identifier, and the generic subscription identifier are received from the ML system and stored in a database for later analysis to identify any issues related to the deployed model.

Abstract: An information handling system may include a host system including a host network interface; and a management controller including a management network interface, the management controller being configured to provide out-of-band management of the information handling system. The management controller may be configured to: receive, via the management network interface, network configuration information for the host network interface; and provide access to the network configuration information via an application programming interface (API). The host system may be configured to: poll the API of the management controller at selected times until the management controller provides access to the network configuration information; retrieve the network configuration information via the API; and configure the host network interface in accordance with the network configuration information.

Abstract: A network monitoring method includes: monitoring, at a network node, one or more network statistics for each of one or more objects exchanged between a client end point and a server end point through a network connection, the network node being located between the client end point and the server end point; and determining one or more QoS metrics for each of the one or more objects based on the network statistics for respective one of the one or more objects.