At&t Intellectual Property I, L.p.

Kostas Oikonomou

Rakesh Sinha

Robert Duncan Doverspike

Vijay Gopalakrishnan

Sarat Puthenpura

Dongmei Wang

Muhammad Bilal Anwer

Weiyi Zhang

Pramod Jamkhedkar

Bingzhe Liu

Aspects of the subject disclosure may include, for example, monitoring communication traffic in a communication network including a plurality of cell sites and a plurality of collector circuits over a time period, storing information about the communication traffic and information about available network resources in a database and predicting where additional capacity will be needed in the communication network at a future time, wherein the predicting is based on the information about the communication traffic. The subject disclosure may further include improving assignment of additional capacity in the communication network between the plurality of cell sites and the plurality of collector circuits based on the information about available network resources and communicating with network switches to assign the additional capacity within the communication network and initiate communication in the communication network. Other embodiments are disclosed.

Mobility backhaul bandwidth on demand

A processing system may obtain an intent comprising a desired network state for a telecommunication network, determine an existing network state, where the desired network state and the existing network state are defined in accordance with a graph representing the telecommunication network, where the graph includes objects and relationships between the plurality of objects, and where each of the objects includes one or more properties. The processing system may compose a strategy that includes a plurality of policies to obtain the desired network state from the existing network state, where each of the policies comprises an action that is to be implemented in the telecommunication network, where the composing comprises performing a state exploration process over the graph, and where each state transition of the process corresponds to one of the policies. The processing system may then implement the strategy to place the telecommunication network in the desired network state.

Network intent synthesis

Network performability characteristics with improved accuracy are derived by taking into account, in the various analyzed network failure states, attributes of elements at the logical level other than just the capacities of edges, as well as by taking into account one or more 'abstract components,' such as scheduled maintenance, and by using multiple traffic matrices.

Network performance and reliability evaluation taking into account multiple traffic matrices

Methods and apparatus to select composite link cost-out thresholds are disclosed. A disclosed example method comprises collecting traffic statistics for a communication network, computing, based on the collected traffic statistics, a plurality of flow rates for a composite link of the communication network for respective ones of a plurality of potential fault conditions for the composite link, computing a plurality of remaining capacities of the composite link for respective ones of the plurality of fault conditions, computing a plurality of differences between respective ones of the plurality of flow rates and the plurality of remaining capacities, and selecting a cost-out threshold for the composite link based on the plurality of computed differences.

Methods and apparatus to select composite link cost-out thresholds

Network performance and reliability evaluation taking into account abstract components

A method and apparatus is disclosed wherein a cost of bandwidth usage in a virtual private network is calculated as a function of a plurality of traffic matrices associated with said bandwidth. In a first embodiment, the cost is calculated as a function of the maximum number of channels required to support an upper bound of the bandwidth of all connections originating from at least one node in the network. In accordance with another embodiment, the cost of providing service is calculated as a function of a traffic matrix in said plurality of traffic matrices, said traffic matrix requiring the highest possible bandwidth use of all traffic matrices in said plurality of traffic matrices. Finally, in accordance with a third embodiment, said cost is calculated as a function of the most-likely amount of bandwidth used by a customer.

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Colts Neck, NJ, United States of America

Kostas Oikonomou