Abstract: A system for data communication between electronic devices comprises a first electronic device that is a resource-constrained device; and a second electronic device that exchanges data with the first electronic device. One of the first electronic device and the second electronic device generates a message in a data unit frame complying with a protocol stack that includes a Constrained Application Protocol (CoAP) message on a data link layer in the absence of a User Datagram Protocol (UDP) layer.

Abstract: Methods, systems and computer program products for bringing-up a computing cluster on a public cloud infrastructure with techniques utilizing expressed intents (high level descriptions of desired configuration) and asynchronously receiving configuration status messages from the public cloud infrastructure. The method includes a cloud management computing system transmitting to the public cloud infrastructure a first expressed intent for bringing-up a computing cluster. The cloud management computing system asynchronously receiving periodic status messages comprising cluster status data from the public cloud infrastructure reflecting a current configuration state of the computing cluster. The system determines, based on the cluster status data, whether the first expressed intent for the computing cluster has been achieved.

Abstract: A network component management method and a network device are disclosed. The method includes: obtaining, by a network component management unit, performance assurance information of a network component, where the performance assurance information includes at least one of the following: key performance information, performance assurance priority information, or performance assurance enabling information, where the key performance information is used to indicate a key performance of the network component, and the performance assurance enabling information is used to instruct to enable or disable at least one performance assurance function of the network component; and managing, by the network component management unit, the network component based on the performance assurance information. The network component management method and the network device provided in the present disclosure can improve network component management efficiency.

Abstract: A method and system for maintaining persistent network policies for a virtual machine (VM) that includes determining a name of the VM executing on a first host connected to a first network device; binding the name of the VM to a network policy for the VM on the first network device; acquiring from VM management software, using the name of the VM, a universally unique identifier (UUID) of the VM; associating the UUID to the network policy on the first network device; applying the network policy for the VM on the first network device; subscribing to receive notifications from the VM management software of changes to the configuration of the VM corresponding to the UUID; receiving notification from the VM management software of a configuration change made to the VM corresponding to the UUID; and updating the network policy of the VM to reflect the configuration change of the VM.

Abstract: A calculation engine of a database management system is described that determines a multiprovider includes a first data source and a second data source that each require different approaches for operation optimization. The calculation engine can split the multiprovider into a first node corresponding to a first operation compatible with the first data source and a second node corresponding to a second operation compatible with the second data source. The calculation engine can perform the first operation at the first data source to produce a first result and perform the second operation at the second data source to produce a second result. The calculation engine can then merge the first result and the second result according to a third operation, and perform such third operation at the first data source.

Abstract: A deduplicated file system includes a set of microservices including front-ends and back-ends. Assignments of files are balanced across front-ends. The files are represented by segment trees including multiple segment levels. Assignments of similarity groups are balanced across back-ends. Similarity groups are associated with segments at a lower-level of the segment trees that form the files. Front-ends are responsible for operations involving an upper-level of the trees. Back-ends are responsible for operations involving the lower-level of the trees. A mapping of file assignments to front-ends and of similarity group assignments to back-ends is stored. A request to perform a file system operation is received. The mapping is consulted to identify particular front and back-ends that should be responsible for handling and processing the request.

Abstract: In accordance with at least some aspects of the present disclosure, an apparatus is disclosed. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to receive a snapshot of a virtual object running on a first node, determine an original configuration associated with the virtual object from the snapshot of the virtual object, determine a resource need for the virtual object from the original configuration, determine that an available resource at the recovery node is insufficient to meet the resource need of the virtual object, generate a reconfigured configuration from the original configuration based at least on the resource need, and recover the virtual object at the recovery node based on the reconfigured configuration.

Abstract: An apparatus for controlling a display includes a controller to set a relationship index indicating relationship between selected content, which is selected through an input of a user, of the at least one content, and remaining content of the at least one content, and arrange an output screen of the output device, based on the relationship index, such that content useful to a user as well as content desired by the user is determined and provided, thereby improving the convenience of the user.

Abstract: Systems and methods ingest machine data including logs, metadata, and cost and usage information from multiple heterogeneous cloud services. The machine data is saved as events. An application retrieves the metadata, events, metrics, and logs and causes an easy to understand visual representation of costs, resource usage, and non-compliance for each of a client's cloud services. Further, the data across the client's multiple heterogeneous cloud services is normalized to provide visual representations that compare the costs, resource usage, and non-compliance across the client's multiple heterogeneous cloud services. Further, machine learning aspects of the application can provide recommendations and trend analysis for cloud service asset usage.

Abstract: When the load becomes high, an identification unit (301) of a second packet forwarding device (30) identifies an application of a new flow. Then, a determination unit (302) determines whether or not distribution of new flow is necessary, based on the flow characteristic of the application and the type of the high load. Then, when distribution of the new flow is necessary, a decision unit (303) acquires a list of second packet forwarding devices (30) having a low load from the load monitoring device (10), and decides a second packet forwarding device (30) as the distribution destination. Then, a control unit (304) performs a route control for guiding the flow to the second packet forwarding device (30) which is the distribution destination.

Abstract: A system includes a memory and at least one processor to set a network throughput level setting to a default network traffic rate in a computer network, begin a data protection operation at the network throughput level setting in the computer network, continually monitor the computer network and determine that a condition has occurred in the computer network, dynamically adjust the network throughput level setting in response to the condition by one of decreasing the network throughput level setting by a network traffic rate increment and increasing the network throughput level setting by the network traffic rate increment, and dynamically shape network or storage traffic for the data protection operation using the network throughput level setting.

Abstract: Systems and methods receiving an indication that a domain has been blocked. A temporary web server is created that has network address that is different from the network address associated with the blocked domain. Content is created that indicates the blocked domain, and optionally, a reason for the blocking. The network address of the temporary web server is returned to a requesting browser application, which can display the content without providing a security warning.

Abstract: A network infrastructure modernization service described herein may allow a customer to migrate the underlying network infrastructure topology and configurations of the on-premises environment onto the cloud environment. By collecting the network infrastructure configurations and/or runtime metrics, generating a network model based on the configurations and/or runtime metrics, and applying modernization rules to the network model to generate a network infrastructure template, the network infrastructure modernization service described in the present application enables the customers to be migrate their on-premises applications as well as the underlying network infrastructure onto the cloud environment.

Abstract: A system and method for allocating computer resources. The method includes generating a resource allocation policy defined for an organization for allocating the computer resources, determining a resource category allocation based on the generated resource allocation policy, generating a usage data, allocating the computer resource based on at least one of the generated usage data or the determined resource category allocation, executing allocation engines to allocate remaining unallocated computer resources, and providing a predicted resource allocation to implement the allocating of the computer resource.

Abstract: Described are improved systems, computer program products, and methods for adaptively provisioning an ordered sequence in a clustered database environment. The approach includes identifying a cached list of sequence numbers. A request for one or more sequence numbers in a database environment may be received. A determination may be made to decide whether the request pertains to an ordered sequence. The one or more sequence numbers may be adaptively provisioned to fulfill the request based at least in part upon an independent cache implementation or upon a shared cache implementation.

Abstract: A technique is disclosed for managing a virtual-cloud-deployment-group (VCDG). Some example embodiments of the disclosed technique may obtain information about a user's needs and about an application that will be executed by the VCDG. Based on this information a first version of configuration of the VCDG is defined. Then, an optimization process can be executed in order to offer an optimized VCDG.

Abstract: Aspects of the subject disclosure may include, for example, a non-transitory machine-readable medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising: receiving by a selected one of a plurality of containers incoming traffic from a legacy application, the legacy application having been associated with a migrated application prior to the migrated application having been installed on a Software as a Service (SaaS) cloud infrastructure, the incoming traffic comprising a first instruction to perform a first legacy operation; mapping the first legacy operation of the legacy application to a replacement instruction for the migrated application by receiving data from the selected container and assigning the replacement instruction to replace the first instruction; and communicating with the migrated application on the SaaS cloud infrastructure, the communicating comprising sending to the migrated appli

Abstract: A computer-implemented method for preserving video stream quality may include (i) identifying a plurality of video streams being transmitted via a shared connection with limited bandwidth, (ii) determining that viewership of a video stream within the plurality of video streams falls below a popularity threshold, (iii) increasing bandwidth availability for a remainder of the plurality of video streams by ceasing transmission of the video stream with the viewership that falls below the popularity threshold, and (iv) continuing to transmit the remainder of the plurality of video streams via the shared connection with the limited bandwidth. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Presented herein are embodiments for automating analytics-based migration of virtual machine optimization tool settings to different hypervisor environments. Currently, no marketplace workload migration utilities have previously dealt with this scenario. In one or more embodiments, a system gathers data and uses analytics on the data to devise one or more translation/correlation rules or models for virtual machine migration. In one or more embodiments, using historical manually settings, correlations can be determined. Given data about a source guest operating system (OS) tool settings, one or more translation/correlation models may be used to facilitate the translation of guest OS optimization tool settings from the source environment to the destination environment so that migrated virtual machine functions the same as or nearly the same as it did on the source hypervisor.

Abstract: An application development and deployment system allows an application developer to develop applications for a distributed data intake and query system. The application may include information that associates portions of the application with particular server groups of the distributed data intake and query system. The application may be partitioned to generate target application packages for each of the server groups of the data intake and query system.

Abstract: Disclosed is a method for data processing applied to a solid state drive, a computer device and a computer-readable storage medium. The method includes acquiring an interface protocol command received by the solid state drive. The method also includes parsing the interface protocol command to obtain I/O information from the interface protocol command. The I/O information includes at least an I/O timestamp, an I/O type, and an I/O size. The method further includes invoking machine learning based on the I/O information to predict I/O information of a first future time period, so that a processor of the solid state drive is configured to proactively execute management functions according to the prediction results.

Abstract: A device may receive an input associated with deploying a virtual firewall on a computing device. The device may determine a first set of characteristics associated with the virtual firewall and a second set of characteristics associated with a hypervisor associated with the computing device. The device may automatically tune the virtual firewall based on the first set of characteristics and the second set of characteristics. The device may deploy the virtual firewall after tuning the virtual firewall.

Abstract: A network management device according to one embodiment includes a device that stores rules for mapping between a service order and a resource order; a device that stores, when a mapping is performed based on the mapping rules, a mapping history in which an identifier of a service for the service order which is a mapping source, a type of a rule used for the mapping, and an identifier of a resource for the resource order which is a mapping target are described; and a creation unit that, when a service order to change the service is created, acquires, from the mapping history and the identifier of the service to be changed, information indicating types of rules to be used for mapping of the service order to change the service and the identifier of the resource for a resource order which is a mapping target, and creates a resource order by mapping of the order to be changed based on the acquired mapping rules.

Abstract: Upon receiving a virtual network function (VNF) creation request including location information, a VNF manager (VNFM) of a network virtualization system transmits the VNF creation request to a VNF orchestrator (NFVO). Using the location information included in the VNF creation request, the NFVO extracts a virtual infrastructure manager (VIM) that satisfies the requirement of the location information with reference to the VIM information, and selects, from among the extracted VIMs, the VIM that satisfies a creation requirement other than the location information with reference to physical device/virtual resource information.

Abstract: A compute server receives a first request from a client device that triggers execution of a first third-party code piece. The first request is directed to a first zone. A single process at the compute server executes the first third-party code piece. As a result of executing the first third-party code piece, a second request is generated that triggers execution of a second third-party code piece. The second request is directed to a second zone. The single process executes the second third-party code piece. A response is generated to the first request based at least in part on the executed first third-party code piece and the executed second third-party code piece. The generated response is transmitted to the client device.

Abstract: Various methods, apparatuses/systems, and media for implementing a smart cloud deployment module is disclosed. A datacenter stores information data of all availability zones (AZs) associated with deployment of an application. A processor builds an availability zone (AZ) application programming interface (API) and calls the AZ API to retrieve the information data from the datacenter; dynamically and automatically determines, in response to calling the AZ API, prior to deploying the application, whether a first AZ defined in a deployment pipeline among the AZs within the datacenter is healthy for deployment of the application; and deploys the application utilizing the deployment pipeline when it is determined that the first AZ defined in the deployment pipeline is healthy. The processor also checks for another healthy AZ within the same datacenter or within other regions outside of the datacenter when it is determined that the first AZ is not healthy.

Abstract: Examples include receiving, from a VoIP server, identification information of the virtual meeting and information of a plurality of client devices participating in the virtual meeting, associating each client device of the plurality of client devices to a network device in a set of network devices based on the identification information of the virtual meeting and capabilities of the set of network devices, and creating a proxy agent in each network device in the set. The proxy agent is configured to receive, from the VoIP server, VoIP streaming data of the virtual meeting. Additionally, examples include, configuring the proxy agent to replicate and transmit the VoIP streaming data to the plurality of client devices.

Abstract: In an example embodiment, a solution is provided to build a generic service failover framework that can be packaged as a library and implemented by many different microservices, whether on-premises or in the cloud. Each application can implement/add/hook this service to obtain the benefits of handling failover gracefully, as well as coming with some customizable options to provide a complete failover framework.

Abstract: Predictive build quality assessment is disclosed, e.g., to predict performance of a candidate software build prior to deploying the candidate software build in a production environment. An example method can include comparing performance of a candidate software build with performance data associated with clusters of previous builds. A cluster having similar performance to the candidate software build can be selected. A source code graph for the candidate software build can be compared to source code graphs of builds included in the selected cluster. A previous build in the cluster, which is associated with a source code graph that is similar to the candidate software build's source code graph, can be selected. Individual performance data associated with the selected previous build can be inferred to be the predicted performance of the candidate software build, thereby informing decision making regarding further testing, modification, and/or deployment of the candidate software build into production.

Abstract: A communications device including a transmitter transmitting data signals to a network element of a wireless communications system using shared resources of an uplink of a first wireless access interface included in the network element, a receiver receiving data signals from the network element using shared resources of a downlink of the first wireless access interface, allocations of the shared resources being made by the network element and the uplink of the first wireless access interface is within a first set of resources, and a controller controlling the transmitter and receiver to transmit/receive signals representing data to/from another communications device using a second wireless access interface within a second set of resources formed from resources of the first set of resources for preferable allocation for device-to-device communications by the network element, resources of the second wireless access interface being time divided into at least a data and control regions.

Abstract: Methods, systems, and computer-readable media are provided for configuration-driven application deployments. An example method can include obtaining a platform-agnostic application configuration including a plurality of application components that can be interpreted by a plurality of system-specific application platforms to dynamically render different applications; based on the platform-agnostic application configuration, generating, by a computing device using a system-specific application platform, an application including a platform-specific interpretation of the platform-agnostic application configuration; and executing the application at the computing device.

Abstract: In one embodiment, a method is provided. The method includes receive, by a networking device, a request from a first computing device, to connect to the networking device. The method also includes creating a first network. The first network is one of a set of networks of the networking device. The first computing device is one of a set of computing devices that are connected to the network device. Each network of the set of networks is initially isolated from other networks of the set of networks when the network is created. Each network of the set of networks comprises a respective computing device of the set of computing devices. The method further includes assigning the first computing device to the first network.

Abstract: A device receives historical data associated with multiple cloud computing environments, trains one or more machine learning models, with the historical data, to generate trained machine learning models that generate outputs, and trains a model with the outputs to generate a trained model. The device receives particular data, associated with a cloud computing environment, that includes data identifying usage of resources associated with the cloud computing environment, and processes the particular data, with the trained machine learning models, to generate anomaly scores indicating anomalous usage of the resources associated with the cloud computing environment. The device processes the one or more anomaly scores, with the trained model, to generate a final anomaly score indicating anomalous usage of at least one of the resources associated with the cloud computing environment, and performs one or more actions based on the final anomaly score.

Abstract: A method implemented by a data processing system including: accessing the container image that includes the first application and a second application; determining, by the data processing system, the number of parallel executions of the given module of the first application; for the given module, generating a plurality of instances of the container image in accordance with the number of parallel executions determined, for each instance, configuring that instance to execute the given module of the first application; causing each of the plurality of configured instances to execute on one or more of the host systems; and for at least one of the plurality of configured instances, causing, by the second application of that configured instance, communication between the data processing system and the one or more of the host systems executing that configured instance.

Abstract: Technologies are provided for a multi-cloud bursting service. An example method can include receiving, via a cloud bursting service associated with different clouds, a cloud bursting configuration enabling the cloud bursting service for a local compute environment; based on the cloud bursting configuration, determining a number of jobs in a jobs queue associated with one or more cloud environments from the different clouds; determining a number of nodes available to process the number of jobs in the jobs queue; based on the number of jobs in the jobs queue and number of nodes available, determining whether to spin up a new node, take offline an existing node, or shutdown the existing node to yield a determination; and based on the determination and cloud bursting configuration, performing a cloud bursting action including spinning up the new node, taking offline the existing node, or shutting down the existing node.

Abstract: Methods and systems are disclosed for improvements in cloud services by sharing estimated and actual usage data of cloud services recipients with the cloud services provider. The sharing of this data allows the cloud services provider to better apportion cloud resources between multiple cloud services recipients. By analyzing information included in the shared data (e.g., information about one or more applications that use the cloud resources), the cloud services provider may categorize the applications and/or the functions of those applications into authorized and unauthorized uses, the determination of which, is used to further efficiently apportion the cloud services resources.

Abstract: An IA server includes a plurality of execution units that execute respective virtual machines of a plurality of disaster recovery stations corresponding one-to-one to a plurality of active stations. The plurality of disaster recovery stations includes a virtualized call control server that performs call processing when an active station is not operating, and a control unit that controls an operation of the virtual machines. The control unit activates, at normal times, the virtual machines, and deactivates, when any active station of the plurality of active stations is not operating, a virtual machine of a disaster recovery station of the plurality of disaster recovery stations other than a virtual machine of a disaster recovery station of the plurality of disaster recovery stations corresponding to the active station not operating, and operates only the virtual machine of the disaster recovery station corresponding to the active station not operating.

Abstract: A broadband network gateway (BNG) controller is described that includes a network subscriber database (NSDB) and one or more core applications. The NSDB is configured to store vBNG instance information for one or more subscriber devices. The vBNG instance information specifies vBNG instances operable by one or more edge routers. The vBNG instances are configured to receive requests to access service provider services from the one or more subscriber devices and to selectively authenticate the one or more subscriber devices for network services based on authentication information included in the requests to access services provider services. The one or more core applications include a network instance and configuration manager (NICM). The NICM is configured to modify the vBNG instance information at the NSDB to include an additional vBNG instance and to output, to an edge router, an instruction to generate the additional vBNG instance at the edge router.

Abstract: An identity broker receives a request for access by a client device to a service provided by a server. In response to the request, the identity broker communicates with a client device to determine whether a security risk is associated with allowing the client device to access data of a service provider. If the client device is secure, the identity broker sends an authentication request to an identity provider. After the identity provider authenticates the client device, the identity broker passes the authentication to the server, which establishes a session with the client device to provide the service. The security state of the client continues to be monitored to determine whether access should continue to be permitted to data associated with a service provider.

Abstract: A messaging system performs engagement analysis based on labels associated with content items produced by users of the messaging system. The messaging system is configured to process content items comprising images to identify elements in the images and determine labels for the images based on conditions indicating when to associate a label of the labels with an image of the images based on the elements in the image. The messaging system is further configured to associate the label with the content item, in response to determining to associate the label with the image, associating the label with the content item. The messaging system is further configured to determine engagement scores for the label based on interactions of users with the content items associated with label and adjust the engagement scores to determine trends in the labels to generate adjusted engagement scores.

Abstract: The disclosed embodiments relate to a system that optimizes execution of a DNN based on operational performance parameters. During operation, the system collects the operational performance parameters from the DNN during operation of the DNN, wherein the operational performance parameters include parameters associated with operating conditions for the DNN, parameters associated with resource utilization during operation of the DNN, and parameters associated with accuracy of results produced by the DNN. Next, the system uses the operational performance parameters to update the DNN model to improve performance and efficiency during execution of the DNN.

Abstract: Various embodiments are disclosed for predicting true demand of network services that impose usage constraints. A computing environment may be configured to provide a network service for a user account, where a usage constraint for the network service is imposed on the user account. A truncated usage distribution of the network service may be generated based on usage history data. A demand curve of the network service may be generated for the user account, where the demand curve comprises at least a portion of the truncated usage distribution and a predicted usage of the at least one network service beyond the usage constraint. One or more actions may be performed based on the demand curve, such as increasing the usage constraint.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for request controlling. The method includes determining, in response to receiving a request for computing resources, a first control window including a plurality of control time slots, the request being received in a receive time slot of the plurality of control time slots. The method further includes determining a quantity of available computing resources within the first control window according to a position of the receive time slot in the plurality of control time slots. The method further includes processing the request within the first control window if the quantity of available computing resources does not exceed a threshold. The method can improve the capability of controlling requests for computing resources, and reduce congestion caused by a large number of requests exceeding the load of computing resources.

Abstract: Methods and systems are described herein for modifying scheduled events based on bandwidth availability. To modify the scheduled event, the system determines a plurality of user devices corresponding to an event. The system receives first network conditions for a first user device and generates a feature input based on the first network conditions. The system inputs the feature input into an artificial intelligence model to determine a first available bandwidth metric and aggregates the first available bandwidth metric with respective available bandwidth metrics for other user devices of the plurality of user devices to determine a composite available bandwidth metric. The system can compare the composite available bandwidth metric to a threshold available bandwidth metric and in response to determining that the composite available bandwidth metric equals or exceeds the threshold available bandwidth metric, the system generates for display, on a user device interface, a recommendation for modifying the event.

Abstract: In an approach for proactive service group based auto-scaling, a processor collects usage data generated in one or more services in a container platform. A processor predicts access situation and resource utilization of the one or more services based on the usage data. A processor constructs a dynamic correlation topology among the one or more services based on the access situation and resource utilization. A processor identifies associated services correlated with the one or more services based on the dynamic correlation topology. A processor, in response to a service request exceeding a pre-set threshold, expands the one or more services and associated services.

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: Techniques are described for enabling a database service to provide a zonal consistency model for read and write operations involving database tables replicated across a plurality of availability zones of a cloud provider network according to some embodiments. A database service routes zonally consistent operations to request routers and storage nodes that are located in a same availability zone as the client device from which the request originates. For example, in contrast to standard write operations and strongly consistent read operations, which are processed by a leader storage node that may be located in a different availability zone than the originating request, zonally consistent operations can be processed by any storage node and, in particular, by a storage node in a same availability zone as the originating client device.

Abstract: One or more servers (11) communicate with one or more applications running on each of a plurality of wireless terminals (2) via a first or second cellular communication network (3, 4). Depending on a load of the first cellular communication network, the one more servers (11) select from the first and second cellular communication networks (3, 4) a cellular communication network to be used by each wireless terminal (2) to communicate with the one more servers (11). The one more servers (11) send to each wireless terminal (2) a control message to prompt each wireless terminal (2) to use the selected network. This for example makes it possible to select among a plurality of cellular communication networks in consideration of load status of the cellular communication networks.

Abstract: A method for controlling an optimization device, the method comprising: obtaining a value of a state variable included in an evaluation function obtained by converting a problem stored in a storage unit; and performing a search for a minimum value of the evaluation function by repeating a process of updating the value of the state variable by a Markov chain Monte Carlo method based on a transition probability distribution that is represented by a function by which it is possible to normalize to one a sum of probabilities of transition from a current state represented by a current value of the state variable to each of a plurality of different states, in which a transition probability becomes larger than in a Boltzmann distribution as a change in the value of the evaluation function due to a change in the value of the state variable is positively larger.

Abstract: Programs, systems, and methods are described for providing on-demand applications to users by infrastructure as a service platforms. A request catcher may receive a request to start an application that runs on a managed system that is scheduled to be off. The request catcher or a management application may verify that the user has authorization to access the application and request to the management application to start the managed system. The management application may start the managed system and the managed system may then provide access to the application to the user.