is the configuration of the end-hosts attached to the network. They need a IP-address and the ability to find the other servers. Because no DHCP-server or DNSserver is present this has to be done manually. In this research project, research is done on automatic end-host configuration which is also known as Zeroconf

Abstract. Profiling is emerging as a useful tool for a variety of diagnosis and security applications. Existing profiles are often narrowly focused in terms of the data they capture or the application they target. In this paper, we seek to design general end-host profiles capable of capturing

. The protocols use only information that is available to end hosts and are designed to converge reasonably fast. Our study is based on a multiclass fluid model of the network. The convergence of the protocols is proved using a Lyapunov function. The technical challenge is in the practical implementation

by the members of the multicast group itself. In this paper, we present the design and evaluation of a hybrid multicast architecture wherein the infrastructure provides packet forwarding, and the end-hosts implement the control plane. End-hosts build multicast trees by setting up forwarding state

In this paper, we show that end-host based congestion pre-diction is more accurate than previously characterized. How-ever, it may not be possible to entirely eliminate the un-certainties in congestion prediction. To address these un-certainties, we propose Probabilistic Early Response TCP (PERT

The proliferation of communication-intensive real-time applications with "elastic" real-time constraints, such as streaming stored video, and the advent of differential services over the Internet require a new design for end-host communication subsystems. The design should (i) provide per

of flow scheduling algorithms in PERM, a framework for practical end-host multihoming. PERM scheduler employs automated on-line analysis of the endusers ' networking behaviors, and exploits the recognized patterns to achieve high-performance scheduling at flow level. We verify our models of end

by which a host dynamically changes the primary locator that it uses to receive packets. While the same LOCATOR parameter can also be used to support end-host multihoming, detailed procedures are left for further study.

Classifying application traffic shows the composition of traffic in terms of number of flows and size. In this work, we classify traffic at end host level to understand characteristics of end host traffic generation. We explain how traffic is composed with number of application categories at end

is based on relative coordinates that are simply the distances from a host to some special network nodes. We propose the second mechanism, called Global Network Positioning (GNP), which is based on absolute coordinates computed from modeling the Internet as a geometric space. Since end hosts maintain