Edge networking router devices and systems for identifying a software application are described herein. One or more embodiments include an edge networking router device for identifying a software application comprising a packet collector to receive packet data in the edge networking router device and an artificial intelligence (AI) model configured to process the packet data received by the packet collector to identify the software application, wherein the artificial intelligence (AI) model is trained using a cloud entity and received from the cloud entity.

A thread pool of consumers polls existing queues. A thread manager controls the number of active threads. This approach limits the number of threads, but is still able to keep up with the volume of traffic.

A resource allocation method can be applied to a terminal, and include: determining an application currently running on the terminal and determining network resources required by the application; requesting and acquiring resources allocated by a network side according to the network resources required by the application. By applying to the network device according to the network resources required by the application, waste of resources and power consumption can be reduced.

The present disclosure relates to facilitating a recertification of access control information. A corresponding method comprises collecting network traffic information relating to a network. Context information is estimated from the network traffic information for accesses to the software application relating to invocations over the network of services contributing (at least in part) to implement the software application. For example, the context information is estimated by an estimation engine that is configured incrementally during a migration of the software application from a module architecture to a service architecture (according to the network traffic information and to corresponding log information). A computer program and a computer program product for performing the method are also proposed. Moreover, a system for implementing the method is proposed.

A system for monitoring resource utilization and optimization includes an entity system having a network communication interface and a memory device storing a resource monitoring and utilization application and a resource application. A processing device is operatively coupled to the memory device, wherein the processing device is configured to execute computer-readable program code to: determine based on the utilization of a resource application and/or a physical transaction related to the resource application to initiate the resource monitoring and utilization application; initiate the resource monitoring and utilization application to transmit information about the resource application to a user device.

According to an example, a web server receives an access request from one operator network of different operator networks, process the access request, and obtain processing data. The web server determines an output VIP address corresponding to an input VIP address carried in the access request according to a relationship between input VIP addresses and output VIP addresses of VS clusters of the different operator networks, and sends the processing data to a VS cluster indicated by the output VIP address via an internal network. The VS cluster selects one VS, and the VS selected sends the processing data to a user terminal via an external network.

Methods, systems, and computer-readable media for on-demand resource provisioning for service instances. An on-demand service broker provisions IaaS resources at service instance creating time. The service broker provides a catalog listing one or more service plans, each service plan corresponds to a set of available resources. A user device selects a respective service plan that matches specific needs of an application that consumes the resources. The service broker generates a deployment manifest based on the selected service plan. The service broker then submits the deployment manifest to a deployment system. The deployment system provisions the resources to the service instance according to the manifest generated by the service broker.

A system and method for managing dynamically allocated resources assigned to a service includes providing a service to be used by a plurality of sites in a federation. Usage information associated with the service is communicated to each of the plurality of sites. A disposition of the service is determined based on local policies and the usage information received from other sites by a service owner. The disposition of the service is updated across a plurality of sites in accordance with messages sent by the service owner to reduce resource usage.

A method and a device for detecting shared access are provided in the present disclosure. The method comprises: receiving an application layer packet from a user terminal; extracting a public network IP accessed by the user terminal and a data stream feature from the received application layer packet, where the data stream feature may uniquely identify the user terminal; determining a number of user terminals which access the public network IP according to the data stream feature; and determining that there is shared access for the public network IP if the number of user terminals accessing the public network IP is greater than a first threshold.

Various embodiments for elastic resource provisioning in a disaggregated cloud computing environment, by a processor device, are provided. Respective members of pools of hardware resources within the disaggregated cloud computing environment are provisioned to a tenant according to an application-level service level agreement (SLA). Upon detecting a potential violation of the application-level SLA, additional respective members of the pools of hardware resources are provisioned on a component level to the tenant to avoid a violation of the SLA by one of a scale-up process and a scale-out process.