Conference Paper

Fuzzy explicit marking for congestion control in differentiated services networks

Dept. of Comput. Sci., Cyprus Univ., Nicosia, Cyprus
DOI: 10.1109/ISCC.2003.1214139 Conference: Computers and Communication, 2003. (ISCC 2003). Proceedings. Eighth IEEE International Symposium on
Source: IEEE Xplore

ABSTRACT This paper presents a new active queue management scheme, fuzzy explicit marking (FEM), implemented within the differentiated services (Diffserv) framework to provide the congestion control using a fuzzy logic control approach. Network congestion control remains a critical and high priority issue. The rapid growth of the Internet and increased demand to use the Internet for time-sensitive voice and video applications necessitate the design and utilization of effective congestion control algorithms, especially for new architectures, such as Diffserv. As a result, a number of researchers are now looking at alternatively schemes to TCP congestion control. RED (random early detection) and its variants are one of these alternatives to provide quality of service (QoS) in TCP/IP Diffserv networks. The proposed fuzzy logic approach for congestion control allows the use of linguistic knowledge to capture the dynamics of nonlinear probability marking functions and offer effective implementation, use of multiple inputs to capture the (dynamic) state of the network more accurately, enable finer tuning for packet marking behaviors (either dropping a packet or setting its ECN - explicit congestion notification - bit) for aggravated flows, and thus provide better QoS to different types of data streams, such as TCP/FTP traffic or TCP/Web-like traffic, whilst maintaining high utilization.

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    ABSTRACT: Several Active Queue Management (AQM) based solutions have been proposed to enable service differentiation in the DiffServ Assured Forwarding (AF) class(es). Most of these solutions, however, provide throughput guarantees only. This paper proposes a new queue management approach called PAQMAN-DS which provides quantitative controlled delay guarantees to delay sensitive applications in the AF class. The proposed approach is based on predicting the future state of the queue and requires specification of only a single parameter (target delay) per hop. Performance evaluation of PAQMAN-DS through ns-2 simulations reveals that it regulates the delay around the target mark on a per-hop basis, discriminates in favour of IN contract traffic and simultaneously achieves high link utilization.
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    ABSTRACT: Congestion control mechanism such as random early detect (RED) allows more efficient usage of network resources. RED uses static thresholds (high and low) in combating congestion. However, as network becomes more dynamic with the introduction of multimedia and real time application, this ldquostaticrdquo approach becomes inefficient. This paper proposed a dynamic RED mechanism, namely, fuzzy active queue management (FuzAQM). FuzAQM monitors the condition of a network in real time and changes its RED parameters based on the congestion level using fuzzy control. FuzAQM is implemented and tested using NS2 network simulator. The simulation results showed that the proposed mechanism improves the total network throughput. FuzAQM also ensures a fairer treatment of lower priority packets and at the same time maintains the throughput of higher priority packets in the network.
    01/2006;
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    ABSTRACT: The rapid growth of the Internet, the massive amount of data traffic it carries and increased demand to use the Internet for time-sensitive voice and video applications necessitates the design and utilization of effective congestion control algorithms. Existing TCP/IP protocol suite has been designed for best effort (delay tolerant) services and cannot effectively support time sensitive applications. We will use the Integrated Dynamic Congestion Control (IDCC) scheme. The problem that comes up is the lack of an effective way of dealing with congestion. On the other hand, the IDCC scheme controls the traffic using information on the status of each queue in the network. It is based on a non-linear model of the network that is generated using fluid flow considerations. The aim of this paper is to design a robust active queue management system to secure high utilization, bounded delay and loss, while the network complies with the demands each traffic class sets. To this end, we will use the ∞ H control theory. Simulation results of the proposed control action demonstrate the effectiveness of the controller in providing robust queue management system.

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