• Journal of Communications and Networks
• /
• v.3 no.4
• /
• pp.324-333
• /
• 2001

The Differentiated Services (Diffserv) framework has been proposed by the IETF as a simple service structure that can provide different Quality of Service (QoS) to different classes of packets in IP networks. IP packets are classified into one of a limited number of service classes, and are marked in the packet header for easy classification and differentiated treatments when transferred within a Diffserv domain. The Diffserv framework defines simple and efficient QoS differentiation mechanisms for the Internet. However, the original Diffserv concept does not provide a complete QoS management framework. Since traffic flows in IP networks are unidirectional from one network point to the other and routing paths and traffic demand get dynamically altered, it is important to monitor end-to-end traffic status, as well as traffic status in a single node. This paper suggests a distributed QoS monitoring method that collects the statistical data of each service class in every Diffserv router and calculates edge-to-edge QoS of the aggregated IP flows by combining routing topology and traffic status. A format modeling of edge-to-edge Diffserv flows and algorithms for aggregating edge-to-edge QoS is presented. Also an SNMP-based QoS management prototype system for Diffserv networks is presented, which validates our QoS management framework and demonstrates useful service management functionality.

• Journal of KIISE:Information Networking
• /
• v.35 no.6
• /
• pp.474-481
• /
• 2008

Scanning worm increases network traffic load and result in severe network congestion because it is a self-replicating worm and send copies of itself to a number of hosts through the Internet. So an early detection system which can automatically detect scanning worms is needed to protect network from those attacks. Although many studies are conducted to detect scanning worms, most of them are focusing on the method using packet header information. The method using packet header information has long detection delay since it must examine the header information of all packets entering or leaving the network. Therefore we propose an algorithm to detect scanning worms using network traffic characteristics such as variance of traffic volume, differentiated traffic volume, mean of differentiated traffic volume, and product of mean traffic volume and mean of differentiated traffic volume. We verified the proposed algorithm by analyzing the normal traffic captured in the real network and the worm traffic generated by simulator. The proposed algorithm can detect CodeRed and Slammer which are not detected by existing algorithm. In addition, all worms were detected in early stage: Slammer was detected in 4 seconds and CodeRed and Witty were detected in 11 seconds.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.38B no.10
• /
• pp.817-823
• /
• 2013

This paper examined the performance of differentiated services applied to each different traffic. For this purpose, we used three traffics which have a different quality of service and generate packets from a specific source to destination. To allocate a proper code point according to QoS, a common policy which is the simple policy model of time sliding window with 3 color marking (TSW3CM) was established to each traffic. To evaluate the performance, we investigate and compare code points to each traffic. Simulation results using NS-2 showed that the code points 10, 11, and 12 can be differently allocated to each traffic according to its sending rates 1Mbps, 2.5Mbps, and 4Mbps.

• The KIPS Transactions:PartC
• /
• v.8C no.1
• /
• pp.51-59
• /
• 2001

In order to support various QoS, IETF has proposed the Differentiated Services Model which provides discrimination service according to t the user’s requirements and payment intention intention for each traffic characteristic. This model is an excellent mechanism, which is not too c complicated in terms of the management for service and network model. Also, it has scalability that satisfies the requirement of Differentiated Services. In this paper, We define the Differentiated Services Model using feedback control, propose its control procedure, and analyze its p performance. In conventional model, non-adaptive traffic, such as UDP traffic, is more occupied the network resource than adaptive traffic, such a as TCP traffic. On the other hand, the Differentiated Services Model using feedback control fairly utlizes the network resources and even p prevents congestion occurrence due to its ability of congestion expectation.

• Proceedings of the Korean Information Science Society Conference
• /
• 2000.04a
• /
• pp.310-312
• /
• 2000

명시적인 자원 할당과 스케줄링에 의해 QoS를 제공 할 수 있는 방안으로 RSVP가 제안되었으나 내부 구조 변경이나 확장성의 문제를 내포하고 있다. 그래서 IETF에서는 차등 서비스(Differentiated Service)를 이용하여 서비스 영역을 확장하려는 연구가 활발히 진행중이다. DiffServ는 확장성을 고려하여 RSVP와 같은 개별 flow에 대한 QoS 제공이 아닌 flow들의 집합(aggregated)으로 차등적인 서비스를 제공하는 방법이다. 본 논문에서는 aggregated flow로 서비스를 제공할 때 불특정 flow에 대한 QoS 손실을 막기 위해 Token Bucket Meter 처리 전에 사전 모니터링에 의해 자원공유의 공정성과 처리 속도를 향상시킬 수 있는 TC(Traffic Conditioner)를 설계, 구현하여 다수 subnetwork에서의 flow가 자원을 공정하게 공유함을 결과로 보였다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.30 no.9A
• /
• pp.762-771
• /
• 2005

In this paper, an efficient Adaptive quality-of-service (QoS) traffic control scheme with priority scheduling is proposed for the multimedia traffic transmission over wireless access networks. The objective of the proposed adaptive QoS control (AQC) scheme is to realize end-to-end QoS, to be scalable without the excess signaling process, and to adapt dynamically to the network traffic state according to traffic flow characteristics. Here, the reservation scheme can be used over the wireless access network in order to get the per-flow guarantees necessary for implementation of some kinds of multimedia applications. The AQC model is based on both differentiated service model with different lier hop behaviors and priority scheduling one. It consists of several various routers, access points, and bandwidth broker and adopts the IEEE 802.1 le wireless radio technique for wireless access interface. The AQC scheme includes queue management and packet scheduler to transmit class-based packets with different per hop behaviors (PHBs). Simulation results demonstrate effectiveness of the proposed AQC scheme.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.26 no.12C
• /
• pp.190-198
• /
• 2001

In this paper, the authors propose methods for determining the differentiated price for elastic traffic in IP (Internet Protocol) network. First, we investigate the behavior in the consumption of bandwidth of elastic traffic in IP network. Next, we propose a method to relate the bandwidth usage with the pricing for the elastic traffic, which is based partially or fully on the usage rate of the network bandwidth. After that, we propose a charging function for elastic traffic, which is based on the de facto usage of the bandwidth. Finally, we will illustrate the implication of the work via simple numerical experiments.

• Journal of Communications and Networks
• /
• v.7 no.3
• /
• pp.377-384
• /
• 2005

The purpose of this research is to develop and evaluate a traffic engineering architecture that uses local state information. This architecture is applied to an Internet protocol radio access network (RAN) that uses multi-protocol label switching (MPLS) and differentiated services to support mobile hosts. We assume mobility support is provided by a protocol such as the hierarchical mobile Internet protocol. The traffic engineering architecture is router based-meaning that routers on the edges of the network make the decisions onto which paths to place admitted traffic. We propose an algorithm that supports the architecture and uses local network state in order to function. The goal of the architecture is to provide an inexpensive and fast method to reduce network congestion while increasing the quality of service (QoS) level when compared to traditional routing and traffic engineering techniques. We use a number of different mobility scenarios and a mix of different types of traffic to evaluate our architecture and algorithm. We use the network simulator ns-2 as the core of our simulation environment. Around this core we built a system of pre-simulation, during simulation, and post-processing software that enabled us to simulate our traffic engineering architecture with only very minimal changes to the core ns-2 software. Our simulation environment supports a number of different mobility scenarios and a mix of different types of traffic to evaluate our architecture and algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.6 no.2
• /
• pp.228-235
• /
• 2002

Differentiated services network (DiffServ) aims to provide the same service to a group of connections that have similar Quality of Service requirements. One of the essential function to realize DiffServ is the traffic conditioning mechanisms to support the required services. The paper proposes the enhanced traffic conditioning mechanism which alleviates a bias against reserved bandwidth size. The simulation results show that the new mechanism is rather insensitive of size of reserved bandwidth, and performs better both in terms of throughput assurance and fair distribution of excess bandwidth in case of well-provisioned and over-provisioned network environment.

• Proceedings of the IEEK Conference
• /
• 2002.06a
• /
• pp.49-52
• /
• 2002

QoS support for the Internet traffic becomes an important future requirement of various network devices such as routers and switches. Differentiated Services(Diffserv) is considered as an efficient feasible solution for providing different service characteristics to different classes of network users. IETF Diffserv working group has already defined a general architecture of Diffserv and is extending its detail features. Network vendors also start implementing Diffserv enabled network devices. However, the management of Diffserv is not fully standardized yet. This paper, we present methods of traffic flow control in Diffserv Networks. we have designed a Diffserv Traffic Control system.