• Title/Summary/Keyword: network traffic measurement

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A Study on TCP Efficiency Improvements from Network Mobile Environment (네트워크 이동 환경에서의 TCP 성능 향상에 관한 연구)

  • Cho, Hyun-Seob
    • Proceedings of the KAIS Fall Conference
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    • 2011.05a
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    • pp.375-378
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    • 2011
  • Measurement of network traffic have shown that the self-similarity is a ubiquitous phenomenon spanning across diverse network environments. In previous work, we have explored the feasibility of exploiting the long-range correlation structure in a self-similar traffic for the congestion control. We have advanced the framework of the multiple time scale congestion control and showed its effectiveness at enhancing performance for the rate-based feedback control.

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Performance Measurement and Analysis of Intranet using DPE-based Performance Management System

  • Kim, Seoung-Woo;Kim, Chul;Shin, Jae-Kwang;Kim, Young-Tak
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.4C
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    • pp.282-294
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    • 2002
  • The modern telecommunication networks are composed of various network-type and are managed by various management technologies, such as TMN, SNMP, TINA etc. Furthermore, the network user's needs of real-time multimedia services are rapidly increasing. In order to guarantee the user-requested quality-of-service(QoS) and keep the network utilization at maximum, it is required to manage the network performance continuously after the network is deployed. The performance management function should provide the useful information for the network expansion and the capacity reallocation in the future. In this paper, we propose a DPE-based performance management architecture for the integrated management of the heterogeneous network elements with TMN and SNMP. We propose an approach to provide the Intranet traffic monitoring and analysis function using layered network management concept and distributed processing technology. The proposed architecture has been designed and implemented based on multiprocess and multithread structure to support concurrent processing. To manage the traffic according to the Intranet service categories, we implemented an ITMA(Intelligent Traffic Monitoring Agent) with packet capture library. With the proposed architecture, we could measure and analyze the real Intranet traffic of Yeungnam University.

Automatic Payload Signature Update System for the Classification of Dynamically Changing Internet Applications

  • Shim, Kyu-Seok;Goo, Young-Hoon;Lee, Dongcheul;Kim, Myung-Sup
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1284-1297
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    • 2019
  • The network environment is presently becoming very increased. Accordingly, the study of traffic classification for network management is becoming difficult. Automatic signature extraction system is a hot topic in the field of traffic classification research. However, existing automatic payload signature generation systems suffer problems such as semi-automatic system, generating of disposable signatures, generating of false-positive signatures and signatures are not kept up to date. Therefore, we provide a fully automatic signature update system that automatically performs all the processes, such as traffic collection, signature generation, signature management and signature verification. The step of traffic collection automatically collects ground-truth traffic through the traffic measurement agent (TMA) and traffic management server (TMS). The step of signature management removes unnecessary signatures. The step of signature generation generates new signatures. Finally, the step of signature verification removes the false-positive signatures. The proposed system can solve the problems of existing systems. The result of this system to a campus network showed that, in the case of four applications, high recall values and low false-positive rates can be maintained.

Packet Data Performance Measurement in D-TRS Wireless Network Environment (D-TRS 무선망 환경에서의 패킷 데이터 성능 측정)

  • Song, Byung-Kwen;Jin, Myung-Suk
    • Journal of the Korean Society for Railway
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    • v.12 no.6
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    • pp.902-908
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    • 2009
  • TETRA is the standard of Digital Trunked Radio System developed by the ETSI (European Telecommunications Standards Institute). It is currently adopted as Electric Power IT Wireless Backbone Network in Korea, and a national enterprise is going on for versatile utilization of TETRA. To use TETRA wireless network, TETRA modem is very necessary such that performance measurements are very crucial for each TETRA modem by various manufacturers. In this paper, PED (Protocol Evaluation Data) is suggested for PD performance measurement in D-TRS wireless network environment. The performance measurements for different data lengths and transmission intervals are done using TG (Traffic Generator) on Test Bed. The data size is increased by 10 bytes from 10-byte to 400-byte, and it is measured 1,000 times for each transmission interval of 0.5, 1.0, and 1.5 seconds. Based on the transmission time measured, average transmission speed and MER (Message Error Rate) are derived for TETRA Modem performance measurement. Two TMR880i's of EADS are used for TETRA modem, and SwMI (Switching and Management Infrastructure) of EADS is used for switching system in this paper.

Adaptive Random Pocket Sampling for Traffic Load Measurement (트래픽 부하측정을 위한 적응성 있는 랜덤 패킷 샘플링 기법)

  • ;;Zhi-Li Zhang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.11B
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    • pp.1038-1049
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    • 2003
  • Exactly measuring traffic load is the basis for efficient traffic engineering. However, precise traffic measurement involves inspecting every packet traversing a lint resulting in significant overhead on routers with high-speed links. Sampling techniques are proposed as an alternative way to reduce the measurement overhead. But, since sampling inevitably accompany with error, there should be a way to control, or at least limit, the error for traffic engineering applications to work correctly. In this paper, we address the problem of bounding sampling error within a pre-specified tolerance level. We derive a relationship between the number of samples, the accuracy of estimation and the squared coefficient of variation of packet size distribution. Based on this relationship, we propose an adaptive random sampling technique that determines the minimum sampling probability adaptively according to traffic dynamics. Using real network traffic traces, we show that the proposed adaptive random sampling technique indeed produces the desired accuracy, while also yielding significant reduction in the amount of traffic samples.

A Building Method of Security Vulnerability Measurement Framework under u-Healthcare System Traffic Domain Environment Based on USN (USN기반 u-Healthcare 시스템 트래픽도메인 환경에서의 보안위험도 평가체계 설계방안)

  • Noh, Si-Choon
    • Convergence Security Journal
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    • v.11 no.3
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    • pp.39-46
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    • 2011
  • Smart environment of health information technology, u-Healthcare architecture, ad-hoc networking and wireless communications environment are major factors that increase vulnerability of u-healthcare information systems. Traffic domain is the concept of network route that identifies the u-Healthcare information systems area as the traffic passing and security technologies application. The criterion of division is an area requiring the application of security technology. u-Healthcare information system domains are derived from the intranet section. the public switched network infrastructure, and networking sectors. Domains of health information systems are separated by domain vulnerability reason. In this study, domain-specific security vulnerability assessment system based on the USN in u-Healthcare system is derived. The model used in this study suggests how to establish more effective measurement USN-based health information network security vulnerability which has been vague until now.

Game Traffic Classification Using Statistical Characteristics at the Transport Layer

  • Han, Young-Tae;Park, Hong-Shik
    • ETRI Journal
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    • v.32 no.1
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    • pp.22-32
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    • 2010
  • The pervasive game environments have activated explosive growth of the Internet over recent decades. Thus, understanding Internet traffic characteristics and precise classification have become important issues in network management, resource provisioning, and game application development. Naturally, much attention has been given to analyzing and modeling game traffic. Little research, however, has been undertaken on the classification of game traffic. In this paper, we perform an interpretive traffic analysis of popular game applications at the transport layer and propose a new classification method based on a simple decision tree, called an alternative decision tree (ADT), which utilizes the statistical traffic characteristics of game applications. Experimental results show that ADT precisely classifies game traffic from other application traffic types with limited traffic features and a small number of packets, while maintaining low complexity by utilizing a simple decision tree.

A Study on Congestion control using Adaptive neural network algorithm (적응 신경망을 알고리즘을 이용한 혼잡제어에 관한 연구)

  • Cho, Hyun-Seob;Oh, Hun
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1713-1715
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    • 2007
  • Measurement of network traffic have shown that the self-similarity is a ubiquitous phenomenon spanning across diverse network environments. In previous work, we have explored the feasibility of exploiting the long-range correlation structure in a self-similar traffic for the congestion control. We have advanced the framework of the multiple time scale congestion control and showed its effectiveness at enhancing performance for the rate-based feedback control. Our contribution is threefold. First, we define a modular extension of the TCP-a function called with a simple interface-that applies to various flavours of the TCP-e.g., Tahoe, Reno, Vegas and show that it significantly improves performance. Second, we show that a multiple time scale TCP endows the underlying feedback control with proactivity by bridging the uncertainty gap associated with reactive controls which is exacerbated by the high delay-bandwidth product in broadband wide area networks. Third, we investigate the influence of the three traffic control dimensions-tracking ability, connection duration, and fairness-on performance.

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Accurate Prediction of Real-Time MPEG-4 Variable Bit Rate Video Traffic

  • Lee, Kang-Yong;Kim, Moon-Seong;Jang, Hee-Seon;Cho, Kee-Seong
    • ETRI Journal
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    • v.29 no.6
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    • pp.823-825
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    • 2007
  • In this letter, we propose a novel algorithm to predict MPEG-coded real-time variable bit rate (VBR) video traffic. From the frame size measurement, the algorithm extracts the statistical property of video traffic and utilizes it for the prediction of the next frame for I-, P-, and B- frames. The simulation results conducted with real-world MPEG-4 VBR video traces show that the proposed algorithm is capable of providing more accurate prediction than those in the research literature.

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A Study on the Congestion Control with Multiple Time Scale under Self-Similar Traffic (자기유사성 트래픽 조건에서 다중 시간 간격을 이용한 혼잡제어에 관한 연구)

  • Cho, Hyeon-Seob;Kim, Young-Cho;Kim, Hui-Suk
    • Proceedings of the KAIS Fall Conference
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    • 2006.05a
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    • pp.294-297
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    • 2006
  • Measurement of network traffic have shown that the self-similarity is a ubiquitous phenomenon spanning across diverse network environments. In previous work, we have explored the feasibility of exploiting the long-range correlation structure in a self-similar traffic for the congestion control. we show that a multiple time scale TCP endows the underlying feedback control with proactivity by bridging the uncertainty gap associated with reactive controls which is exacerbated by the high delay-bandwidth product in broadband wide area networks. Third, we investigate the influence of the three traffic control dimensions-tracking ability, connection duration, and fairness-on performance.

  • PDF