Prioritizing deployments achieving targeted network performance across a multilayer Pb/s network
Srivatsan Balasubramanian, Bodhisattwa Gangopadhyay, Vinayak Dangui, Satyajeet Singh Ahuja, Varun Gupta, Grigory Pastukhov, Mohammad Noormohammadpour, Alexander Nikolaidis, Ariyani Copley, Xueqi He, Jiachuan Tian, Jiajia Chen, Arash Vakili, Chiun Lin Lim, Guanqing Yan, Gokul Anand, Biao Lu, Debottym Mukherjee
Abstract
Meta has a large scale backbone infrastructure supporting services with varying QoS requirements. As part of backbone network planning, a capacity plan that differentiates between different classes of services in terms of availability guarantees is generated and scheduled for deployment. Deployment progress is measured traditionally in terms of volumes of capacity deployed. Our work provides insights into the shortcomings of capacity volume driven deployments. We provide a methodology to rank the contribution of each entity pending deployment towards our network performance goals and use this metric to prioritize deployments helping higher classes of services meet their network guarantees earlier in the deployment schedule. By enabling QoS awareness in backbone deployments, we are able to demonstrate a 67% reduction of risk exposure period for high priority services.