This paper proposes a mechanism for equation-based congestion control for unicast traffic. Most best-effort traffic in the current Internet is well-served by the dominant transport protocol, TCP. However, traffic such as best-effort unicast streaming multimedia could find use for a TCP

Transmission of multimedia streams imposesa minimum-bandwidth requirementon the path being used to ensureend-to-end Quality-ofService (QoS) guarantees. While any shortest-path algorithm can be used to select a feasible path, additional constraints that limit resource consumption and balance

requirements for interactive traffic and quality-of-service (QoS) support for real-time streams (voice/video). In the wireless routing area, several schemes have already been proposed and implemented (e.g., hierarchical routing, on-demand routing, etc.). We introduce two new schemes—fisheye state routing (FSR

This paper describes the design, implementation, and experimental evaluation of OverQoS, an overlay-based architecture for enhancing the best-effort service of today's Internet. Using a Controlled loss virtual link (CLVL) abstraction to bound the loss rate observed by a traffic aggregate, Over

this paper, we are concerned with the components of cell-loss and cell-delay which are attributable to a single buffer of finite size. The QoS parameters we are concerned with are:

, Colour Space, Edge Detection, traffic streaming. I.

The increase in real-time applications such as Voice over IP, audio and video streaming in the public Internet has warranted QoS based routing. But today’s Internet largely supports best effort traffic. Thus, a QoS routing in the best effort environment is required to support real-time applications

); Real-Time (representing delay-constrained bit streams); RD/WR (modeling short data access) and Block-Transfer (handling large data bursts). Communication traffic of the target SoC is analyzed (by means of analytic calculations and simulations), and QoS requirements (delay and throughput) for each

We propose SWAN, a stateless network model which uses distributed control algorithms to deliver service differentiation in mobile wireless ad hoc networks in a simple, scalable and robust manner. The proposed architecture is designed to handle both realtime UDP traffic, and best effort UDP and TCP

allow the definition of the region where the integration is useful and where the desired QoS is satisfied for both streaming and data traffic.