Independent study defense in computer science
Eric Binnendyk will present his independent study defense.
His talk is slanted “An Intelligent Token Bucket-Based Queue Management Strategy for Named Data Networking QoS”
Named Data Network (NDN) is a representative architecture of Information Centric Network (ICN), which has proven to be a promising solution to meet the communication needs of a variety of intelligent systems such as smart grids , smart cities and smart homes. Compared to the traditional host-centric IP network, NDN is based on the content-centric communication model where data objects are retrieved by names instead of being delivered to a destination address.
One of the main challenges facing NDN is how to provide differential quality of service (QoS) to network traffics with different priority levels. In this report, we introduce a new QoS intelligent queuing strategy based on a token bucket strategy. Token bucket rates for queues with different priority levels are adaptively adjusted with a piecewise linear loss function as a function of traffic state. Simulations are performed using the ndnSIM simulator. The results show that the proposed strategy has better performance than strategies based on fixed token bucket rates.
Zoom Info: https://zoom.us/j/92184846146