Estimation of network latency based on aggregated performance data

Abstract

Estimation of network latency based on aggregated performance data is disclosed. End-to-end latency between endpoints can comprise protocol-induced latency, access network-induced, core-network latency, and network-distance-based latency. Network latency, e.g., network-distance-based latency, also referred to as topological latency, can correspond to communication path length between endpoints. Crowdsourcing of communication path performance information can enable estimation of topological latency, and derivatives thereof, such as topological distance. Crowdsourcing can be the practice of obtaining information or input into a task or project by enlisting the services of a large number of people, either paid or unpaid, e.g., collection of performance information. The disclosure illustrates estimation of protocol-induced latency, access network-induced, and core-network latency, such that they can be compensated for in end-to-end latency information, thereby enabling estimation of topological latency that can be employed in determining, initiating, etc., a network response operation that can affect change in a network.