An artificial intelligence enhanced method for optimizing operational deployment of field resources using network Voronoi Tessellations in combination with the aggregation and consideration of numerous data elements. Resources deployed in the field utilize modes of transportation that are represented by a network topology, which can be influenced by external sources of information that pertain to nodes in the network or nodes in other network topologies, which can be used by an artificial intelligence processor to develop optimized routes for deployed field resources in a continuous manner. The incorporation of these sources of information that can influence the topology of the network is utilized to determine the optimal deployment of field resources.

A device may include a memory storing instructions and a processor configured to execute the instructions to receive an instruction from an administration device; identify a link selector in the instruction that corresponds to a resource attribute of a first resource that specifies how a second resource is to be controlled by the first resource; query a database of contracts between resources to determine that the second resource is available to be controlled by the first resource, based on resource contracts associated with the second resource. The processor may be further configured to generate a resource contract between the first resource and the second resource that indicates the second resource is controlled by the first resource and enable the first resource to communicate with the second resource in accordance with the generated resource contract.

In one aspect, a computerized method includes the step of providing process monitor in a Gateway. The method includes the step of, with the process monitor, launching a Gateway Daemon (GWD). The GWD runs a GWD process that implements a Network Address Translation (NAT) process. The NAT process includes receiving a set of data packets from one or more Edge devices and forwarding the set of data packets to a public Internet. The method includes the step of receiving another set of data packets from the public Internet and forwarding the other set of data packets to the one or more Edge devices. The method includes the step of launching a Network Address Translation daemon (NATD). The method includes the step of detecting that the GWD process is interrupted; moving the NAT process to the NATD.

A method including communicating, by a first device in communication with a second device in a mesh network, meshnet data with the second device based at least in part on utilizing a meshnet local port dedicated for communicating the meshnet data; and transmitting, by the first device to a control infrastructure device, a binding request based at least in part on utilizing the meshnet local port, the binding request requesting the control infrastructure to determine a currently allocated public port associated with the first device. Various other aspects are contemplated.

A network system that implements quality of service (QoS) by rate limiting at a logical network entity is provided. The logical network entity includes multiple transport nodes for transporting network traffic in and out of the logical network entity. The system monitors traffic loads of the multiple transport nodes of the logical network entity. The system allocates a local CR and a local BS to each of the multiple transport nodes. The allocated local CR and the local BS are determined based on the CR and BS parameters of the logical network entity and based on the monitored traffic loads. Each transport node of the logical network entity in turn controls an amount of data being processed by the transport node based on a token bucket value that is computed based on the local CR and the local BS of the transport node.

Cloud-based computing systems, although claimed to have virtually unlimited resources, could get oversubscribed due to budget constraints of cloud users. The disclosed invention proposes a mechanism to identify various types of “mergeable” tasks. The system also determines when it is appropriate to aggregate tasks and how to allocate them so that the QoS of other tasks is not affected. Experimental results under real-world workload settings show that the disclosed system can improve robustness of the system in the face of oversubscription and also saves the overall time of using cloud services by more than 14%.

Techniques are described for providing a cloud data collector (CDC) application for managing the generation of infrastructure templates. The CDC application provides graphical user interfaces that enable a user to provide inputs indicating configurations of data to be ingested by the data intake and query system, each configuration including one or more user accounts, in addition to data sources and regions associated with data sources. Using the configurations provided as input to the CDC application, the CDC application generates an infrastructure template that can be used to configure the service provider network to provide the requested security data to the data intake and query system.

Aspects of the present disclosure relate to allocating workloads to vRANs via programmable switches at far-edge cloud datacenters. Traditionally, traffic allocation is handled by dedicated servers running load-balancing software. However, rerouting RAN traffic to such servers increases both energy and capital costs, degrades end-to-end performance, and requires additional physical space, all of which are undesirable or even infeasible for a RAN far-edge datacenter. Since switches are located in the path of data traffic, workflow policies can be designed to inspect packet headers of incoming traffic, evaluate real-time network information, determine available vRAN instances, and update the packet headers to steer the incoming traffic for processing. As network conditions change, the workflow policies enable the switch to dynamically redirect workloads to alternative vRANs for processing. As a result, RAN processing efficiency and fault tolerance are improved—even with changing network conditions and spikes in data traffic.

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.

Systems and methods for enabling links between various devices is provided. The systems and methods may include a platform that enables different devices to access spatial models of a resource. The platform may enable the different devices to define and/or modify assignment conditions for access rights to resources. Further, the platform may enable definition of assignment conditions before or after the access rights are available for assignment.