A Network Congestion control Protocol (NCP)

The transmission control protocol (TCP) which is the dominant congestion control protocol at the transport layer is proved to have many performance problems with the growth of the Internet. TCP for instance results in throughput degradation for high bandwidth delay product networks and is unfair for flows with high round trip delays. There have been many patches and modifications to TCP all of which inherit the problems of TCP in spite of some performance improve- ments. On the other hand there are clean-slate design approaches of the Internet. The eXplicit Congestion control Protocol (XCP) and the Rate Control Protocol (RCP) are the prominent clean slate congestion control protocols. Nonetheless, the XCP protocol is also proved to have its own performance problems some of which are its unfairness to long flows (flows with high round trip delay), and many per-packet computations at the router. As shown in this paper RCP also makes gross approximation to its important component that it may only give the performance reports shown in the literature for specific choices of its parameter values and traffic patterns. In this paper we present a new congestion control protocol called Network congestion Control Protocol (NCP). We show that NCP can outperform both TCP, XCP and RCP in terms of among other things fairness and file download times.unpublishe

Dynamic Mapping of an AS Network into A Smaller Network of Border Routers

In this paper we present a cross layer routing and congestion control scheme which can map an enterprise network into a smaller network of boarder routers. One of the boarder routers in our scheme called a main node computes the virtual link (tunnel) capacities and corresponding queue size for each path of the ingress routers. This main node can use cloud computing to speed up computation. The scheme can make clean-slate protocols easily deployable in the current Internet with out the need of making changes in the core routers. Besides, the scheme makes online dynamic network diagnosis and analysis easier.unpublishednot peer reviewe

A Network Congestion Control Protocol to More Quickly Finish Flows

The transmission control protocol (TCP) is the major trans- port protocol in the Internet. TCP and its variants have the drawback of not accurately knowing rate share of flows at bottleneck links. Some protocols proposed to address these drawbacks are not fair to short flows, which are the majority of the Internet traffic. Other protocols result in high queue length and packet drops which translate into a high average flow completion time (AFCT). In this paper we present the design and analysis of a Quick congestion Control Protocol (QCP). QCP can quickly give flows their fair share rates hence allow them to quickly finish. Unlike existing schemes, QCP uses an accurate for- mula to calculate the number of flows sharing a network link. This enables QCP to get fair share rates to flows with- out over or under-utilization of bottleneck link capacities. We also present an efficient sharing mechanism which QCP uses to assign capacity which is not used by some flows bot- tlenecked elsewhere to other flows which need the capacity. We show how QCP can be implemented by extending the emerging OpenFlow architecture. Simulation results confirm the design goals of QCP in achieving reduced AFCT (by upto 30%).published or submitted for publicationnot peer reviewe

An efficient queue management (EQM) technique for networks

In this paper I present a simple and efficient queue management (EQM) technique based on optimal bandwidth allocation for networks. Each router calculates the bandwidth share (throughput)(1) of each interfering flow at a link using link capacity and Interface IP Address (see RFC 3630) or round trip time (RTT) and congestion window size of the flows which are carried in the packets. The sources send packets and the routers in the path drop or allow the packets based on a certain probability and label the non-dropped packets with the allowable optimal throughput for the next round. Each router in the path modifies this label and the sources eventually adjust their sending rates based on the allowable throughput they get from the returning ACKs. In this way EQM finds the fair bandwidth allocation and gives fair queue management. I also a prove that EQM can converge to a stable point