Tata Consultancy Services Limited

Vishvesh Revoori

Hemant Kumar Rath

Anantha Simha

Shameemraj Mohinuddin Nadaf

K N R Surya Vara Prasad

System(s) and method(s) for designing a network of one or more entities in an enterprise is disclosed. A design type along with configurable design parameters is selected from a list of designs. Requirements associated with design of entities are collected from the users. The requirements and configurable design parameters are analyzed to obtain analysis results. Based on at least one of a layer-wise requirement and distribution or a zone-wise requirement and distribution, network devices and modules associated with the entities are determined. One or more designs are generated for the network of entities based on the layer-wise requirement and distribution or the zone-wise requirement and distribution of network devices and modules associated with the entities in the enterprise.

System and method for designing a network for one or more entities in an enterprise

System(s) and method(s) for network resource optimization in a service area of a communication network are described. The method includes dividing a service area into a plurality of sub-areas, where each of the plurality of sub-areas is serviced by at least one network resource from a pre-determined number of network resources. The method further includes determining a locally optimal deployment solution comprising at least one local allocation attribute for the at least one network resource in each of the plurality of sub-areas, to meet a plurality of objectives for network resource optimization. The method further includes obtaining a globally optimal deployment solution comprising at least one global allocation attribute for allocation of the pre-determined number of network resources in the service area, based on the locally optimal deployment solution to meet the plurality of objectives.

Network resource optimization in communication networks

Optimization of control plane in a software defined network includes obtaining peer information of at least one neighbouring network controller by a network controller and determining a traffic profile variation. The method further includes computing of a self payoff value indicative of one of optimum utilization, underutilization and overutilization of the network controller. The method further includes initiating a non-zero sum game based network control plane optimization operation based on the self payoff value and the traffic profile of the neighbouring network controllers, and may include one of activating additional network controller(s), transferring control of one or more network devices managed by the network controller(s) to a neighbouring greedy network controller, deactivating the network controller, and transferring control of one or more additional network devices managed by the neighbouring network controller(s) to the greedy network controller.

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Bengaluru, India

Vishvesh Revoori