A method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

Aspects of the present disclosure involve a method for optimizing an extension of an optical network to provide service to one or more new customers. The method considers the location of existing network nodes as well as a metropolitan environment where the new customer is located (e.g., the geographical location of streets where fiber may be routed to a customer). Aspects of the present disclosure further employ one of various linear programming models, such as a 1-Layer Model, a 3-Layer Model, a 5-Layer Model and a Dual Path Model to generate cost effective solutions to extend the existing optical network to provide service to the new customers.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

A system for identifying networked equipment, capable of running a computer software application, that satisfies a user selected trade-off between usage cost and performance. The system maintains a store of user selected maximum usage cost and information corresponding to a trade-off between networked equipment usage cost and performance, and maintains a store of currently available capability information associated with the networked equipment, and a networked controller operates on the stored information to identify one or more instances of the equipment that satisfies the trade-off by determining a total cost-performance factor value for each a plurality of the networked equipment.

The present disclosure relates to an energy-efficient optimized computing offloading method for a vehicular edge computing network and a system thereof; the method comprises: calculating the energy efficiency cost EEC of local computing; calculating the energy efficiency cost EEC of mobile edge computing; determining an optimal offloading decision based on the energy efficiency cost of local computing and the energy efficiency cost of mobile edge computing; determining an optimal CPU frequency and an optimal transmit power of the vehicle based on the optimal offloading decision; and determining the optimal offloading time of the vehicle based on the optimal CPU frequency and the optimal transmit power of the vehicle. The method of the present disclosure can improve the computing offloading efficiency.

A network design device for designing a network, including: an input unit that is input with a configuration condition of a network that includes a communication layer and at least one computing layer, a cost condition of the network, and a demand condition representing an uncertain demand of the network; a computing unit that performs computation to solve an optimization problem with, at each base in the communication layer and computing layer, an objective function for minimizing a sum of a fixed cost and a variable cost at a communication link to be placed and a computer to be placed, a demand satisfaction condition that a demand for each computer is satisfied, a flow conservation condition that a traffic flow rate for a demand for each computer is conserved, and a capacity constraint that is a constraint due to a capacity of the communication link and computer at each base; and an output unit that outputs a placement and a capacity of each of the communication link and computer obtained by the computing unit.

A network design device for designing a network, including: an input unit that is input with a configuration condition of a network that includes a communication layer and at least one computing layer, a cost condition of the network, and a demand condition representing an uncertain demand of the network; a computing unit that performs computation to solve an optimization problem with, at each base in the communication layer and computing layer, an objective function for minimizing a sum of a fixed cost and a variable cost at a communication link to be placed and a computer to be placed, a demand satisfaction condition that a demand for each computer is satisfied, a flow conservation condition that a traffic flow rate for a demand for each computer is conserved, and a capacity constraint that is a constraint due to a capacity of the communication link and computer at each base; and an output unit that outputs a placement and a capacity of each of the communication link and computer obtained by the computing unit.

A control apparatus configured to allocate a virtual network for providing a network service on a physical network includes: acquisition means for acquiring information indicating an outside temperature of each node included in the physical network, physical resource information of the physical network, information indicating a predicted traffic amount of the physical network, and an allocation request for the virtual network; and calculation means for calculating an optimal allocation of the virtual network using a target function defined using a unit cost defined for each region and for each time slot and a power consumption model taking into consideration the outside temperature and a load rate calculated based on the predicted traffic amount, and a restrictive condition obtained based on the physical resource information and the allocation request.

A network configuration diagram generate method executed by a computer, the method includes identifying, in a predetermined system in which a plurality of virtual machines are used, a location where each of the plurality of virtual machines is located and a communication destination with which each of the plurality of virtual machines communicates; determining, for each change in a configuration of the predetermined system, a relationship of a communication distance between the plurality of virtual machines by using the location and the communication destination, the configuration indicating a relationship of the plurality of virtual machines; extracting a difference between the relationship of the communication distance before the configuration change and the relationship of the communication distance after the configuration change; and generating a network configuration diagram in which the extracted difference is indicated.

The present disclosure is directed to consolidation of STP pairs without deploying new STP pairs and without making changes at a Service Switching Point to reflect the consolidation. In one aspect, a method includes identifying a first pair of signal transfer point devices to be decommissioned from a telecommunication network; identifying a second pair of signal transfer point devices to assume, in part, functionalities of the first pair of signal transfer point devices, each signal transfer point device of the first pair and the second pair having at least one primary point code and at least one secondary point code assigning a temporary secondary point code to each signal transfer point device of the first pair; and modifying at least one secondary point code of each signal transfer point device of the second pair with a primary point code of at least one signal transfer point device of the first pair.