公开(公告)号：US20170012856A1

公开(公告)日：2017-01-12

申请号：US14922905

申请日：2015-10-26

Applicant: Google Inc.

Inventor： Xiaoxue Zhao ,  Emilie Jeanne Anne Danna ,  Christoph Albrecht ,  Bikash Koley ,  Satyajeet Singh Ahuja ,  Vinayak Dangui

IPC: H04L12/721

CPC classification number: H04L45/12 ,  G06F17/509 ,  G06F2217/10 ,  G06F2217/72 ,  H04L41/14 ,  H04L41/145 ,  H04W16/18

Abstract: The present disclosure describes system and methods for network planning. The systems and methods can incorporate network traffic demands, availability requirements, latency, physical infrastructure and networking device capability, and detailed cost structures to calculate a network design with minimum or reduced cost compared to conventional methods. In some implementations, the method include providing an initial, deterministic set of failures, and then successively performing a network optimization and a network availability simulation to determine which failures most impact the performance of the network model. The high impact failures can then be provided back into the system, which generates an improved network design while still maintaining minimum cost.

Abstract translation: 本公开描述了用于网络规划的系统和方法。 与传统方法相比，系统和方法可以结合网络流量需求，可用性要求，延迟，物理基础设施和网络设备能力以及详细的成本结构来计算网络设计，成本最低或降低。 在一些实现中，该方法包括提供初始的确定性故障集合，然后连续执行网络优化和网络可用性模拟，以确定哪些故障最能影响网络模型的性能。 然后可以将高冲击故障返回到系统中，从而产生改进的网络设计，同时仍然保持最低成本。

公开(公告)号：US09722912B2

公开(公告)日：2017-08-01

申请号：US14922905

申请日：2015-10-26

Applicant: Google Inc.

Inventor： Xiaoxue Zhao ,  Emilie Jeanne Anne Danna ,  Christoph Albrecht ,  Bikash Koley ,  Satyajeet Singh Ahuja ,  Vinayak Dangui

IPC: H04L12/721 ,  G06F17/50 ,  H04L12/24 ,  H04W16/18

CPC classification number: H04L45/12 ,  G06F17/509 ,  G06F2217/10 ,  G06F2217/72 ,  H04L41/14 ,  H04L41/145 ,  H04W16/18

Abstract: The present disclosure describes system and methods for network planning. The systems and methods can incorporate network traffic demands, availability requirements, latency, physical infrastructure and networking device capability, and detailed cost structures to calculate a network design with minimum or reduced cost compared to conventional methods. In some implementations, the method include providing an initial, deterministic set of failures, and then successively performing a network optimization and a network availability simulation to determine which failures most impact the performance of the network model. The high impact failures can then be provided back into the system, which generates an improved network design while still maintaining minimum cost.