Infinera Corporation

Ramesh Iyer

Madhukar Anand

Systems and methods for adaptive and automated traffic engineering of data transport services may include learning the demand between devices and data paths based on application workloads, prediction of traffic demand and paths based on the workload history, provisioning and management of data paths (i.e. network links) based on the predicted demand, and real-time monitoring and data flow adaptation. Systems and methods for adaptive and automated traffic engineering of data transport services may also include learning the variation of traffic (data flow in the network) on various links (data paths) of the network topology using historical data (e.g. a minute, an hour, a day, or a week of data), predicting the data flow pattern for a time interval, and provisioning the services to steer data to meet the application requirements and other network wide goals (e.g., load balancing).

System and method for adaptive traffic engineering based on predicted traffic demand

Systems and methods for automatically managing the bandwidth requirements of application workloads may include learning the bandwidth requirements using historical data, predicting the required bandwidth for a time interval and provisions the services to deliver the appropriate bandwidth to the applications. Systems and methods for automatically managing the bandwidth requirements of application workloads may also include monitoring for the actual bandwidth requirements of the applications and adapt dynamically to changing requirements.

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Freemont, CA, United States of America

Ramesh Iyer