Large-scale network parameter configuration using an on-line simulation framework

As the Internet infrastructure grows to support a variety of services, its legacy protocols are being overloaded with new functions such as traffic engineering. Today, operators engineer such capabilities through clever, but manual parameter tuning. In this paper, we propose a back-end support tool for large-scale parameter configuration that is based on efficient parameter state space search techniques and on-line simulation. The framework is useful when the network protocol performance is sensitive to its parameter settings, and its performance can be reasonably modeled in simulation. In particular, our system imports the network topology, relevant protocol models and latest monitored traffic patterns into a simulation that runs on-line in a network operations center (NOC). Each simulation evaluates the network performance for a particular setting of protocol parameters. We propose an efficient large-dimensional parameter state space search technique called "recursive random sea...

• Type: Journal
• Year: 2008
• Where: TON
• Authors: Tao Ye, Hema Tahilramani Kaur, Shivkumar Kalyanaraman, Murat Yuksel
• Keywords: Parameter, Parameter State Space, Space Search Technique, TON 2008