This document presents a differentiated services architecture for the internet. Dave Clark and Van Jacobson each presented work on differentiated services at the Munich IETF meeting [2,3]. Each explained how to use one bit of the IP header to deliver a new kind of service to packets in the internet

This paper presents the “allocated-capacity” framework for providing different levels of best-effort service in times of network congestion. The “allocatedcapacity” framework—extensions to the Internet protocols and algorithms—can allocate bandwidth to different users in a controlled

, generalizes the Explicit Congestion Notification proposal (ECN). In addition, XCP introduces the new concept of decoupling utilization control from fairness control. This allows a more flexible and analytically tractable protocol design and opens new avenues for service differentiation. Using a control theory

In this paper, we study two medium access control (MAC) sublayer policies, namely, Schedule After Backoff (SAB) and Schedule Before Backoff (SBB), which offer differentiated services in IEEE 802.11-based wireless networks. Both policies control channel access based on frame priorities. In the SAB

This paper investigates differentiated services in wireless packet networks using a fully distributed approach that supports service differentiation, radio monitoring and admission control. Service differentiation is based on the IEEE 802.11 Distributed Coordination Function (DCF) originally

Recent technological advances have made it possible to have large wireless ad-hoc networks of small devices. The prime purpose of such sensor networks is to disseminate information about the environment they sense. We observe that information provided may have different levels of importance and argue that the sensor networks should be willing to spend more resources in disseminating packets carrying more important information.

We focus on service differentiation policies for Web servers that serve clients with different QoS requirements (i.e., different classes of service) in a constantly changing environment (i.e., an environment characterized by dramatic fluctuations in the client arrival and service patterns, as well

We have implemented these mechanisms in AIX 5.0. Through numerous experiments we demonstrate their effectiveness in achieving the desired degree of service differentiation during overload. We also show that the kernel mechanisms are more efficient and scalable than application level controls

Offering quality of service (QoS) based on the concept of Differentiated Services has been an important recent concern [1]. This paper describes two kinds of traffic engineering techniques for implementing differentiated

Abstract. This paper describes two traffic engineering techniques for implementing proportional differentiated services based on Multiprotocol Label Switching constraint based routing. Both use a dynamic bandwidth allocation scheme to modify the bandwidth reserved by each traffic class according