A Clustering Scheme for Transparent and Scalable Bandwidth Management in High Speed Ethernet Environment

As quality of service gains more and more attention, bandwidth controllers become gradually one of the most important network devices in modern Internet environments. The demand for high performance bandwidth controllers is driven by the growing bandwidth available and the more complex packet processing functions that are essential in bandwidth management. In this thesis, we propose a clustering scheme by aggregating several devices to provide high throughput and implement the bandwidth control functions over a cluster. The proposed scheme makes incoming traffic self-dispatched and applies traffic redistribution to keep the load of devices balanced. Besides, the cluster can tolerance failures of devices and be expanded dynamically without shutting down the system. Based on the clustering scheme, we design a distributed policy adjustment mechanism, the proportional bandwidth allocation mechanism, to support accuracy bandwidth management. The experiment results suggest the proposed scheme can be applied to transparent and scalable bandwidth controller with high performance.