Abstract: A method comprising obtaining, from a master user, a device usage allocation applicable to two or more devices, the two or more devices being associated with another user, the another user being different from the master user, obtaining an aggregate measure of device usage associated with the two or more devices, if the aggregate measure of device usage associated with the two or more devices satisfies a condition relative to the device usage allocation, managing an activity of the two or more devices, and sending a notification to at least one of the two or more devices, the notification for presentation to the another user through a user interface of the at least one of the two or more devices.

Abstract: A message batching configuration may be determined for transmitting a message to recipients. The message batching configuration may include two or more message batches, a respective recipient count for each message batch, a respective time delay between each message batch, and a performance metric for evaluating the message. The message is transmitted in accordance with the message batching configuration. The transmission of subsequent message batches is halted when it is determined that the designated performance metric fails to meet a designated performance metric threshold.

Abstract: Embodiments disclosed herein relate to systems and methods for network slicers. Network slicers can receive creation request messages and select network slices based on policies. A network slicer can indicate to next hop routers that it has lower routing costs in order to receive messages, and inspect the received messages to identify creation request messages. A network slicer can indicate to a DNS server that it has a higher priority than other network elements, and receive creation request messages based on the higher priority. New creation request messages can be sent to the selected network slices based on received creation request messages. The network can also create and send appropriate response messages to the creation request to establish future communications with the selected network slice.

Abstract: An object is to provide a slice management system capable of assigning slices to a plurality of business operators. In a parent SMF 100, a slice management table 103 can manage resources of a slice managed by a child SMF 100a or the like, and a communication unit 101 can notify the child SMF 100a or the like of the resources. The child SMF 100a or the like receives the resources and stores the resources in the slice management table 106. Therefore, the child SMF 100a or the like can manage the resources of the slice managed by the child SMF 100a or the like, and the child SMF 100a can independently enable the management of the resources.

Abstract: According to some embodiments, methods and systems may include a data storage device that contains user identifiers and associated entitlement values for a plurality of tenants of a cloud computing environment. A provisioning application platform processor may receive a user request for an integration service and access the data storage device. The provisioning application platform processor may then transmit at least one entitlement value to a platform resource manager processor to facilitate creation of a plurality of microservices resulting in implementation of the integration service for the user.

Abstract: Methods, computer readable media, and devices for balancing traffic of multiple realms across multiple resources such that a load balancing algorithm delivers equal flows of traffic to the multiple resources are disclosed. One method may include identifying a high risk realm and two low risk realms from among a plurality of realms, identifying three resources from among a plurality of resources, and distributing the high risk realm, the first low risk realm, and the second low risk realm across the three resources such that the high risk realm and a first low risk realm share a first resource, the high risk realm and a second low risk realm share a second resource, the two low risk realms share a third resource, traffic of the high risk realm is load balanced equally, and traffic of the two low risk realms is load balanced unequally.

Abstract: This application provides an application program management method and apparatus. The method is performed in a database cluster system including at least two database nodes, at least one database object is stored in each database node, and the method includes: running an application program on a first database node in a first time period; determining a target database node based on at least one historical database object accessed by the application program in the first time period, where the target database node stores the historical database object; and running the application program on the target database node in a second time period. According to this application, a database node on which an application program runs can be dynamically adjusted, to avoid overload of the database node.

Abstract: Systems and methods are described for enabling quantum computing at an edge node of a network. For example, a machine learning component residing on each of a plurality of edge nodes of the network may be implemented to distribute application processing by network location and processing type, including distribution among classical processing at a central cloud, classical processing at an edge node, and quantum processing at a quantum edge node including a quantum computing device. By distributing certain applications, such as latency-sensitive applications of a higher order of complexity, to an edge node, and particularly a quantum edge node, latency may be reduced and complex application code may be processed more quicky using quantum computations. For applications to be processed using quantum processing, the machine learning component may further identify qubits for the quantum processing and define containers based on the qubits for deployment by the quantum computing device.

Abstract: A wireless communications method and device are provided. The method and device lower bit overheads and reduce the complexity of terminal processing in the sending of a synchronization signal (SS) block. The method includes determining that a first indication field in a physical broadcasting channel (PBCH) included in a first SS block is used to indicate a physical resource block (PRB) grid offset between channels or signals of an SS block and a non-SS block or indicate resource information of a second SS block. The method further includes sending the first SS block, wherein when it is determined that the first indication field is used to indicate the resource information of the second SS block, the first indication field in the first SS block indicates the resource information of the second SS block.

Abstract: Systems and methods are described for receiving a user request from a user computing system located in a first geographic region, generating a user request context for the user request, selecting a cloud computing system assigned to a second geographic region having more computing resources currently available to process the user request than a cloud computing system assigned to the first geographic region based at least in part on the user request context and a machine learning model including current utilizations of computing resources of cloud computing systems assigned to the first and second geographic regions, and sending the user request to the selected cloud computing system in the second geographic region.

Abstract: This disclosure describes a method of utilizing network controllers to store mappings between policies, dynamic operating attributes (DOA), and trigger values in a manifest and utilizing software agents in communication to monitor DOAs of respective workloads or workload groupings for trigger values associated with the DOAs to apply a corresponding policy at run-time. The method provides for flexible policy semantics and on-demand policy provisioning. The method includes receiving at a network controller, a definition of a policy, a DOA associated with a workload, and a trigger value associated with the DOA, storing a mapping between the policy, DOA and trigger value, sending the DOA and the trigger value to a datapath agent monitoring respective workloads, receiving an indication that a current value of the DOA of the workload corresponds to the trigger value from the software agent, and sending the policy to the software agent for distribution to the workload.

Abstract: A system for managing business to business communications may include an event generation unit configured to create a first event based on receiving a purchase order from a client. The system may also include an event detection unit in communication with the event generation unit, the event detection unit configured to detect the first event. The system may also include an action unit in communication with the event generation unit. The action unit may be configured to determine a first action to perform based on the detection of the first event, and perform the first action. The event generation unit may be further configured to create a second event based on the performance of the first action.

Abstract: “Resource guarantee” refers to a unit of a resource that is guaranteed and therefore designated to a consumer. A multi-phased constraint programming (CP) approach is used to determine assignments of resource guarantees of a set of consumers to a set of hosts in a resource system. Phase I uses CP to segregate non-split consumers from split consumers. Phase II uses CP to assign each cotenant group of non-split consumers to a respective host. Phase III uses CP to assign resource guarantees of the split consumers across the hosts, wherein resource guarantees of a single split consumer may be splits across different hosts. Each phase involves execution of a CP solver based on a different CP data model. A CP data model declaratively expresses combinatorial properties of a problem in terms of constraints. CP is a form of declarative programming.

Abstract: A global queue service of a provider network allows clients to automatically replicate a queue to another queue of one or more other regions (creating a global queue). A local instance of the service receives a send request from a producer. In response, the local instance stores a message in a local queue and replicates the send request to a remote queue of a remote instance of the global queue service (e.g., at another region). The local instance receives a receive request from a consumer and sends the message to the consumer (without replicating the request to the remote queue). The local instance then receives a delete request from a consumer. In response, the local instance deletes the message from the local queue and replicates the delete request to the remote queue. The local instance also receives replicated requests from the remote instance and in response, applies them locally.

Abstract: The present disclosure relates to devices, methods, and computer-readable medium for providing recommendations for alternate resources to use for cloud services. The devices, methods, and computer-readable medium may receive a resource allocation request for a new resource of a computing system and may predict an occurrence of a capacity related allocation for the resource allocation request. The devices, methods, and computer-readable medium may identify alternate resources to use for the resource allocation request and may provide recommendations with the alternate resources.

Abstract: A computer-implemented method includes identifying, from instruction code for executing by a computing system to implement a neural network, a first instruction for allocating a first region of a local memory of an accelerator of the computing system to a tensor, and a first direct memory access (DMA) load instruction for loading the tensor from a location of a system memory of the computing system to a second region of the local memory; adding a first tensor copy instruction in the instruction code to save the tensor in the first region of the local memory to a third region of the local memory that has dimensions different from dimensions of the first region; and replacing the first DMA load instruction with a second tensor copy instruction for saving data in the third region of the local memory to the second region of the local memory.

Abstract: Embodiments of systems and methods for a client driven cloud network access system and method are described. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions for receiving a request to perform an operation provided by a cloud service from an application, and generating an aggregated data packet including the request, a requested performance level to be provided by the service, and application telemetry data associated with a measured performance level of the application. The aggregated data packet is then transmitted to a plurality of servers that are each configured to provide the cloud service. Each of the servers generates and sends a response to the aggregated data packet that includes an advertised performance level at which the server can provide the cloud service. The IHS may then select one of the servers according to the advertised performance level, and communicate with the selected server to provide the requested operation.

Abstract: A system and method include association of a first plurality of software licenses of a first type with a first subscription associated with a first plurality of cloud-based resources, determination of a first number of the first plurality of software licenses to activate based on the types of the first plurality of resources, activation of the first number of the first plurality of software licenses, monitoring of usage of the first plurality of resources, determination, based on the monitored usage, of a second one or more resources to associate with the first subscription, determination, in response to determining the second resources, of a second number of the first plurality of software licenses to activate based on the types of the second one or more resources, activation of the second number of the first plurality of software licenses, and association of the second resources with the first subscription.

Abstract: Examples described herein relate to consumption monitoring device and method for changing a client for its use of a networked resource. The consumption monitoring device may receive information regarding an out-of-band (OOB) performance parameter from a manageability controller corresponding to a networked resource subscribed by the client. The consumption monitoring device may determine a resource consumption metric corresponding to the networked resource for the client based at least on the information regarding the OOB performance parameter received from the manageability controller. The client may be charged based on the resource consumption metric.

Abstract: This patent disclosure provides various embodiments of a client-server based digital video playback system and technique. In one aspect, a process for playing internet/online videos on a user device is disclosed. This process can begin by sending a video playback request for playing an online video to the server, wherein the video playback request includes a device type and a browser type of the user device. Next, the process receives a set of video playback addresses and a set of video playback configuration files from the server, wherein the set of video playback addresses and the set of video playback configuration files are generated based on the device type and the browser type. The process subsequently selects a video playback address from the set of video playback addresses corresponding to a transcoded version of the online video that matches a device version and a browser version of the user device.

Abstract: The present invention relates to the technical field of high performance computing (HPC). In particular, the invention relates to a heterogeneous computing system, particularly a computing system including different modules, which can freely be assigned to jointly process a computation tasks. A control entity, referred to as module computing abstraction layer (MCAL), is provided which allows dynamic assignment of various resources provided by the different modules. Due to its flexibility in adjusting to varying demands in computing, the present invention is also applicable as an underlying system for providing cloud computing services, which provides shared computer processing resources and data to computers and other devices on demand, mostly via the Internet.

Abstract: There is provided mechanisms for handling poor audio quality. A method is performed by a receiving terminal device. The method comprises obtaining an indication of poor audio quality of incoming audio at the receiving terminal device. The incoming audio originates from a transmitting terminal device. The method comprises initiating text conversion of the incoming audio. The method comprises receiving text resulting from automatic speech recognition having been applied to the incoming audio. The method comprises providing a representation of the text to a user interface of the receiving terminal device.

Abstract: The present disclosure envisages optimization of a time-sensitive fog network deployed in an industrial environment. The time-sensitive fog network comprises a plurality of fog nodes communicably coupled to a plurality of industrial equipments referenced as endpoints. Each fog node is embodied with a plurality of computer-based resources including computational resources, storage resources, security resources, network resources, application-specific resources, and device-specific resources. The resource constraints that warrant the endpoints to cooperate with specific fog nodes to access specific resources are manifested as a compute profile, a storage profile, a security profile, a network profile, an application-specific profile, and a device-specific profile.

Abstract: An information processing system includes an information processing apparatus and a management apparatus. A first processor of the information processing apparatus controls resource allocation to a first virtual machine that operates on the information processing apparatus and executes a virtual load balancer that distributes a first load to a plurality of second virtual machines. The first processor notifies, when a second load of the virtual load balancer exceeds a predetermined first threshold value, an occurrence of an overload to the management apparatus. The first processor receives and executes an addition command of adding a resource allocated to the first virtual machine. A second processor of the management apparatus creates, upon being notified of the occurrence of the overload, the addition command based on resource information of the information processing apparatus and management information of the virtual load balancer.

Abstract: A system of routing a purchase order may include a purchase order identification unit configured to identifying a purchase order format associated with a client. The system may also include a routing control unit. The routing control unit may be configured to determine purchase order data based on the purchase order and the purchase order format. The routing control unit may be configured to generate a processed purchase order based on the purchase order data. The routing control unit may be configured to supplement the processed purchase order with additional purchase order data associated with the client. The routing control unit may be configured to apply purchase order security. The routing control unit may be configured to communicate, to a vendor, the processed purchase order.

Abstract: Techniques are used for balancing load on a storage system according to multiple variables. The techniques may be used to provide, among other things, defining, across at least two variables, a balance constraint for a load on a storage system. Among a set of transfers of volumes from one node to another node in the storage system, a transfer of a volume that minimizes the distance between the load and an ideal balanced state of the storage system is identified. The identified transfer of a volume is added to a combination of transfers of volumes. Whether the combination of transfers of volumes meets the balance constraint is determined. If the combination meets the balance constraint, the combination is selected as a solution to balance the load.

Abstract: Network slicing can provide logical network partitioning. This introduces a high degree of flexibility to support devices with different requirements in terms of quality of service, as well as to optimize the network usage. However, each one of these networks can be used for distinct business purposes. Thus, individual slice surveillance statistics, including failure messages, can be utilized to alert other slices that share the same infrastructure. Thus, an early recovery action can be prompted based on a single slice's anomalies being shared with other slices.

Abstract: In some examples, a system may include a processing resource and a memory resource. The memory resource may store machine-readable instructions to cause the processing resource to create a migration plan, defining characteristics of a migration of an application from a native computing data center to a computing cloud of a plurality of distinct candidate computing clouds, based on: a first migration constraint for the application determined from an analysis of historical behavior of the application executed on the native computing data center; a second migration constraint for the application determined from an analysis of administrator cloud migration preferences for the application; and a cloud computing characteristic of each of the plurality of distinct candidate computing clouds.

Abstract: A system for storing and managing secure information is disclosed that includes a secure identity and profiling system, which serves as a middleman between a user and an entity requesting personally identifiable information (PII) from the user. The system collects the PII from the user and stores it securely, such as in an alternate blockchain in an encrypted form. The location of the that PII within the alternate blockchain may be indexed using smart contracts in a main blockchain that can only be read with an access token generated and supplied by the user's mobile device. When an entity requests PII from the user that has already been collected and securely stored, the user can provide permission to release that PII by providing the access token. The system will use the access token to locate where the PII is stored and release the PII to the requesting entity.

Abstract: Methods and systems for managing access to a distributed storage systems include storing a total bandwidth utilization amount allocated to each of a plurality of client devices and a current bandwidth amount utilized by each of the plurality of client devices. An actual bandwidth amount utilized for servicing one or more requests received from a plurality of client devices over a network is monitored and an expected bandwidth utilization amount for servicing a request to access a distributed storage system having a plurality of storage devices interconnected over a network, received from respective ones of the plurality of client devices is determined. The client device transmitting the request is either permitted or denied access to the distributed storage system based on a function of the expected bandwidth utilization of the request relative to the total bandwidth utilization amount allocated to the requesting client device.

Abstract: Detecting a phishing message by providing a phishing detector having a scan engine and a fetcher, detecting a URL in the message by the scan engine, resolving the URL to a webpage by the scan engine, downloading the webpage by the fetcher, analyzing the downloaded webpage by the fetcher to determine whether the webpage is a phishing webpage, and, when the webpage is determined to be a phishing webpage, deleting the message by the scan engine.

Abstract: Various embodiments for optimizing memory bandwidth in a disaggregated computing system, by a processor device, are provided. Respective memory devices are assigned to respective processor devices in the disaggregated computing system, the disaggregated computing system having at least a pool of the memory devices and a pool of the processor devices. An analytic function is performed on data resident in the pool of the memory devices using memory bandwidth not currently committed to a primary compute task.

Abstract: A programmable network architecture that employs a software based, modular functional infrastructure with standard interfaces is utilized for mobile core networks. In one aspect, network services and/or functions can be built and addressed as resources that are configured and/or accessed with standard and/or open application program interfaces (APIs). The disclosed network architecture provides real-time and on-demand network configurations and dynamic service provisioning.

Abstract: This disclosure describes systems, devices, and methods for performing and facilitating tenant migration between multiple bare-metal servers. An example method includes receiving an indication of an impending reboot of a first bare-metal server. The first bare-metal server may be hosting a tenant. The method further includes identifying a second bare-metal server in a pre-initialized state. The method also includes causing the first bare-metal server to migrate data associated with the tenant to the second bare-metal server in advance of the reboot.

Abstract: Techniques for automated application reliability management using adaptable machine learning models are disclosed. In one example, a computer-implemented method may include identifying cloud components of an application deployed in a cloud service platform, determining relationships between the cloud components of the application and between the cloud components and other applications to generate a plurality of sub-assemblies, determining dependencies among the plurality of sub-assemblies to generate a super-assembly, generating infrastructure as code for application cloud components of the super-assembly and the plurality of sub-assemblies using metadata of the application cloud components, and performing a management operation to create a cloud infrastructure of the application using the generated infrastructure as code and verifying reliability of the created application using an adaptable machine learning model.

Abstract: A method includes receiving profile information for a network. The method also includes determining a network configuration based on at least a constraint associated with at least one of a network session or a hardware capacity of a hardware platform of the network and a number of sessions that the network configured based on the network configuration can support. The method also includes configuring the network based on the network configuration.

Abstract: A retail agent determines a parameter of an activity proposal model by using data stored in a past record database, and determines parameters of an activity determination model and an activity value evaluation model by further using base activity simulation data. Consequently, it is possible to appropriately determine parameters of a subsystem control method in a complex system which cannot be embodied as a simulator and shows a significant change with respect to past record data.

Abstract: Techniques for providing a non-blocking fabric in a network are described. A network controller determines the network requirement for various network traffic types on the network and determines the allocation of resources across the network needed to establish a midlay, including midlay components on the network. The network controller then establishes the midlay on the network according to the determined allocation. At least one of the midlay components is a virtually non-blocking fabric for high-priority traffic or fully non-blocking fabric for deterministic traffic.

Abstract: Techniques are described for a cloud provider to provide a managed experience related to the use of virtual networks and subnets to logically group user computing resources deployed at provider substrate extensions. A cloud provider enables users to create virtual network templates used when deploying computing resources at provider substrate extensions, where such virtual network templates may include various networking, security, and other configurations to be applied to network traffic and other activity of resources deployed within an associated virtual network. Once a virtual network template is defined, a user can use the template as the basis to launch resources into the virtual network and, by extension, into provider substrate extensions associated with the virtual network. Upon receiving such a request, the provider network can manage the creation and configuration of underlying subnets, route tables, and other resource, as needed, at each of the relevant provider substrate extensions.

Abstract: Some embodiments of the invention provide a data-plane forwarding circuit (data plane) that can be configured to identify large data message flows that it processes for forwarding in a network. In this document, large data message flows are referred to as heavy hitter flows. To perform its forwarding operations, the data plane includes several data message processing stages that are configured to process the data tuples associated with the data messages received by the data plane. In some embodiments, parts of the data plane message-processing stages are also configured to implement a heavy hitter detection (HHD) circuit. The operations of the data plane's message processing stages are configured by a control plane of the data plane's forwarding element in some embodiments.

Abstract: A method for using server power to predict failures includes receiving power consumption data and health alerts of a remote server, analyzing the power consumption data of the remote server to determine trends in the power consumption data, and comparing the trends in the power consumption data and the health alerts with a server failure model. The server failure model is derived from historical power consumption data and health alerts associated with one or more servers of a same type as the remote server. The method includes predicting a failure in the remote server based on the comparison between the trends in the power consumption data and the health alerts and the server failure model and sending an alert in response to the predicted failure. The alert indicates the predicted failure.

Abstract: Systems and methods of rate limiting are disclosed herein. In some example embodiments, a rate limiter service receives a request from an online application to access an online resource, and the rate limiter service transmits an indication of the request to a back end system, and an enforcement decision corresponding to the online resource is received from the back end system, with the enforcement decision comprising an instruction to either permit or deny access to the online resource, and the receiving of the enforcement decision from the back end system being performed asynchronously with the receiving of the request and the transmitting of the indication. In some example embodiments, the enforcement decision received from the back end system is stored, the stored enforcement decision is accessed in response to the receiving of the request, and the request is responded to using the accessed enforcement decision.

Abstract: Method by which a plurality of processes are assigned to a plurality of computational resources, each computational resource providing resource capacities in a plurality of processing dimensions. Processing loads are associated in each processing dimension with each process. A loading metric is associated with each process based on the processing loads in each processing dimension. One or more undesignated computational resources are designated from the plurality of computational resources to host unassigned processes from the plurality of processes. In descending order of the loading metric one unassigned process is assigned from the plurality of processes to each one of the one or more designated computational resources. In ascending order of the loading metric any remaining unassigned processes are assigned from the plurality of processes to the one or more designated computational resources whilst there remains sufficient resource capacity in each of the plurality of processing dimensions.

Abstract: Techniques for capacity management in provider networks using dynamic host device instance type reconfigurations are described. A fleet reconfiguration service performs runtime reconfiguration of slots of host electronic devices that are available to execute compute instances, while the electronic devices may execute other compute instances, to dynamically change the type and/or numbers of slots of the electronic devices available for compute instance execution.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for rack nesting in virtualized server systems. An example apparatus includes a resource discoverer to identify resources to be allocated to the nested rack based on a policy indicative of one or more physical racks from which to identify the resources, and determine candidate resources from the resources to be allocated to the nested rack based on a capacity parameter indicative of a quantity of the resources available to be allocated to the nested rack, the candidate resources to have first hypervisors, and a nested rack controller to generate the nested rack by deploying second hypervisors on the first hypervisors, the second hypervisors to facilitate communication between the candidate resources and one or more virtual machines on the second hypervisors, the nested rack to execute one or more computing tasks based on the communication.

Abstract: Sharing data in a data exchange across multiple cloud computing platforms and/or cloud computing platform regions is described. An example computer-implemented method can include receiving data sharing information from a data provider for sharing a data set in a data exchange from a first cloud computing entity to a set of second cloud computing entities. In response to receiving the data sharing information, the method may also include creating an account with each of the set of second cloud computing entities. The method may also further include sharing the data set from the first cloud computing entity with the set of second cloud computing entities using at least the corresponding account of that second cloud computing entity.

Abstract: A method is provided for using an extended workstation. The method includes: determining a first object and a second object suitable for being used by a user, the extended workstation including each object determined during the step of determining the first object and the second object; determining a technical resource of the second object and determining an access giving access to the resource enabling the resource to be used; storing in a server an identifier of the determined technical resource in association with an identifier of the second object and an identifier of the access for accessing the resource; and using the technical resource by the first object via the access giving access to the resource.

Abstract: A method is implemented by a network device for enabling destination network address translation in a cloud network. The method includes determining that packets having a first public address as a source address and a second public address as a destination address are to be forwarded to a first host that is assigned a first private address and sending a first advertisement message to a gateway indicating that packets having the first public address as a source address and the second public address as a destination address are to be forwarded to a first switch connected to the first host, where the first switch is configured to translate the destination address of those packets from the second public address to the first private address assigned to the first host.

Abstract: There is disclosed in one example an application-specific integrated circuit (ASIC), including: an artificial intelligence (Al) circuit; and circuitry to: identify a flow, the flow including traffic diverted from a core cloud service of a network to be serviced by an edge node closer to an edge of the network than to the core of the network; receive telemetry related to the flow, the telemetry including fine-grained and flow-level network monitoring data for the flow; operate the Al circuit to predict, from the telemetry, a future service-level demand for the edge node; and cause a service parameter of the edge node to be tuned according to the prediction.

Abstract: Modifying a flow table for a network accelerator can include, in response to determining that a flow table of a network accelerator does not include any rules corresponding to first packet data of a first flow received from a network, forwarding the first packet data to a host computer. Subsequent to the flow table being updated to include a new rule for the first flow, for second packet data of the first flow received from the network, the second packet data can be processed using the new rule. The second packet data can be queued. In response to receiving the first packet data from the host computer, the first packet data can be processed using the new rule. The processed packet data can be forwarded to a destination port followed by the queued second packet data.