Abstract: The invention provides a resource allocation method and system in a quantum key distribution optical network. The method includes steps of: setting a topological structure of a quantum key distribution optical network, and initializing parameters in the topological structure; generating a service request, and categorizing a security level of a service according to a security requirement degree of the service, where the security level corresponds to a security score; establishing an optimization objective function to maximize a security score of the quantum key distribution optical network and minimize an occupancy of wavelength and timeslot resources; and establishing a constraint satisfying the optimization objective function, and allocating corresponding wavelength and timeslot resources to the service request under the constraint. The invention implements a joint optimization objective of maximizing a security score of a network and minimizing the occupation of wavelengths and timeslots.

Abstract: The present invention provides an optimization method and system for minimizing network energy consumption based on traffic grooming. The method includes: generating a set of service requests in an elastic optical network, and calculating a reachable node set of shortest paths from source to destination nodes for each service request; establishing a virtual reachable path in the reachable node set of shortest paths; and establishing a target function of an integer linear programming model of the minimizing network energy consumption, and sequentially determining whether a bandwidth capacity constraint of a single spectrum slot, a path uniqueness constraint, a spectrum allocation constraint, and an optical regenerator quantity constraint are satisfied, where if all constraints are satisfied, the service request is successfully established, or if any of the constraints is not satisfied, the service request fails to be established. The present invention helps to improve the energy efficiency of service requests.

Abstract: The present invention provides an optimization method and system for minimizing network energy consumption based on traffic grooming. The method includes: generating a set of service requests in an elastic optical network, and calculating a reachable node set of shortest paths from source to destination nodes for each service request; establishing a virtual reachable path in the reachable node set of shortest paths; and establishing a target function of an integer linear programming model of the minimizing network energy consumption, and sequentially determining whether a bandwidth capacity constraint of a single spectrum slot, a path uniqueness constraint, a spectrum allocation constraint, and an optical regenerator quantity constraint are satisfied, where if all constraints are satisfied, the service request is successfully established, or if any of the constraints is not satisfied, the service request fails to be established. The present invention helps to improve the energy efficiency of service requests.

Abstract: The invention provides a resource allocation method and system in a quantum key distribution optical network. The method includes steps of: setting a topological structure of a quantum key distribution optical network, and initializing parameters in the topological structure; generating a service request, and categorizing a security level of a service according to a security requirement degree of the service, where the security level corresponds to a security score; establishing an optimization objective function to maximize a security score of the quantum key distribution optical network and minimize an occupancy of wavelength and timeslot resources; and establishing a constraint satisfying the optimization objective function, and allocating corresponding wavelength and timeslot resources to the service request under the constraint. The invention implements a joint optimization objective of maximizing a security score of a network and minimizing the occupation of wavelengths and timeslots.