• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.948-951
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• 2010

네트워크 기술의 발전과 하드웨어의 발전으로 인해 많은 네트워크 응용 서비스 기술이 등장하고 있다. 이 중에서도 IPTV 와 같은 멀티미디어 스트리밍 기술은 그 수요에 의해 기하급수적으로 증가하고 있는 실정이다. 만족할만한 IPTV 서비스를 제공해 주기 위해서는 안정적인 네트워크 자원의 확보가 필수적이다. 이에 본 논문에서는 IPTV 서비스를 위한 네트워크 자원 확보를 위해 기존의 AVB 기술을 기반으로 하여 안정적인 QoS 를 보장하는 방법을 제안한다. IPTV 서비스에 해당하는 각 트래픽에 대한 대역폭 예약 방법과, 대역폭 예약 실패 상황에 대해 처리할 수 있는 개선된 MSRP를 이용하여 IPTV 서비스의 QoS 를 보장하고자 한다. 본 논문의 성능 평가를 위해 OPNET 을 이용하여 기존 방법들에 대한 시간동기의 정확성, 트래픽의 단대단지연, 네트워크 자원 활용률을 측정하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.169-171
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• 2006

무선 센서 네트워크에서는 고정된 인프라에 의존하기 어려운 환경을 가지고 있다. 하지만, 위치기반 기술을 접목하여 센서의 절대적 또는 상대적인 위치정보를 이용하면 다양한 응용서비스를 효과적으로 적용 할 수 있다. 이러한 센서 노드의 위치를 측정하는 방법 중에 시간을 기반으로 위치를 측정하는 방법이 가장 정확도가 높게 평가되었다[1]. 그러나 이러한 TOA방법은 노드의 Clock Rate에 의존적이기 때문에 위치오차가 발생하게 된다. 따라서 Node의 Clock Drifi를 줄이기 위해서 주기적인 시간동기화가 필요했다[3,4]. 하지만 본 논문에서는 이러한 거리오차를 제거하기 위한 방법으로 시간 비동기화 방법(ALS)을 소개하고, ALS를 기반으로 시뮬레이션과 실질적인 센서를 가지고 노드 사이의 거리와 위치를 측정하였다. 실험 결과, 기존의 TOA방법과 비교하여 거리 및 위치 정확도, Packet 트래픽에 대해서 성능 향상을 확인한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1565-1568
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• 2000

본 논문에서는 기존 폭주 회피형 ERICA+ 알고리즘에서 ER 피드백 계산에 이용되는 부하지수, 가용용량, 활성 가상회선 수 등에 영향을 미치는 측정간격을 기존의 Cell 단위나 Time 단위가 아닌, 목적 큐 길이를 기준으로 현재 스위치의 큐 길이의 변화에 따라 파라미터를 측정함으로써, 큐 지연은 물론이고 ACR과 Fair Share의 진동을 줄일 수 있고, 일시적인 트래픽 폭주에 동적으로 반응할 수 없거나 빈번한 측정으로 인한 시스템의 복잡도와 고속화 문제를 해결한 안정적인 알고리즘을 제안하고 시뮬레이션 수행을 통하여 기존의 방법과 비교 분석한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1704-1709
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• 2016

In this paper, we propose efficient uplink data transmission method in ultra dense wireless networks as in intra-aircraft, where large-scale APs and wireless sensors are deployed. In the ultra dense wireless networks, a performance degradation is inevitable due to the inter-AP interference. However, the performance degradation can be avoided if a scheduling algorithm can estimate the amount of interference caused by each wireless sensor and reflects it. SGIR (Signal-to-Generating Interference Ratio) based scheduling algorithms is a typical example. Unfortunately, the scheduling algorithms based on the interference caused by wireless sensors necessarily yield large scale exchange of information through backhaul which connects APs. Therefore, we, in this paper, propose a novel scheme which can dramatically reduce the amount of information which are exchanged through backhaul connection. Monte-Carlo simulation results show that the proposed scheme can reduce the amount of backhaul traffic by 27% without loss of data transmission rate.

• Journal of Digital Contents Society
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• v.13 no.4
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• pp.625-629
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• 2012

This paper is presented to prepare NGN quality assurance management process under the quality system test methodology. The process should be drawn for NGN quality measurement framework of multimedia traffic. NGN test bed management process model are QoS measurement metrics, measurement interval meter above, and measuring tools, measuring equipment, measurement methods and measurement results from a series of processes for the analysis and methodology. This model, NGN quality assurance activities should be utilized in the future. Quality target level only when themselves constantly measured and managed, does not guarantee the communication quality of service. It is sensitive to the importance of NGN network technology paradigm for research on quality management in the NGN.

• The Transactions of the Korea Information Processing Society
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• v.7 no.8
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• pp.2484-2496
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• 2000

High speed switches have been developing to interconnect a large number of nodes. It is important to analyze the switch performance under various conditions to satisfy the requirements. Queueing analysis, in general, has the intrinsic problem of large state space dimension and complex computation. In fact, The petri net is a graphical and mathematical model. It is suitable for various applications, in particular, manufacturing systems. It can deal with parallelism, concurrence, deadlock avoidance, and asynchronism. Currently it has been applied to the performance of computer networks and protocol verifications. This paper presents a framework for modeling and analyzing ATM switch using stochastic activity networks (SANs). In this paper, we provide the ATM switch model using SANs to extend easily and an approximate analysis method to apply A TM switch models, which significantly reduce the complexity of the model solution. Cell arrival process in output-buffered Queueing A TM switch with finite buffer is modeled as Markov Modulated Poisson Process (MMPP), which is able to accurately represent real traffic and capture the characteristics of bursty traffic. We analyze the performance of the switch in terms of cell-loss ratio (CLR), mean Queue length and mean delay time. We show that the SAN model is very useful in A TM switch model in that the gates have the capability of implementing of scheduling algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.6
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• pp.1073-1077
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• 2001

In this paper, we tested and analysed the performance of the load balancer which advances the performance of web server farm. Load balancer distributes the traffic that is inputting from internet and accepts client's connection requests to its maximum capacity. Then we test the maximum connection requests per second that load balancer processed and the load balancing that established with the load balancer.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.125-128
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• 2001

In this paper, we tested and analysed the performance of the load balancer which advances the performance of web server farm. Load balancer distributes the traffic that is inputting from internet and accepts client's connection requests to its maximum rapacity. Then we test the maximum connection requests per second that load balancer processed and the load balancing that established with the load balancer.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.586-596
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• 2011

In the IT industry, processing units of IT applications are getting smaller and high efficient. Furthermore, the realization of various smart functions is highly feasible now due to advances in sensing technology. The service infrastructures on high efficient and compact mobile devices are applied to various areas. These also could be possessed by users and is built into the devices. Currently, studies on the UX(User Experience) field to attempt an analysis and prediction of user's information are continuing with reference to the UI(User Interface). However, research on the common framework of classification and storing the user-information, and standardization of form has not been attempted yet. In this study, we proposed the AUX(Associative user Experience) model and process structure to store various empirical data by users. The AUX model expressed a diversity of user's empirical data using extended E-TCPN model. And also, we expressed the data structure using XML with reference to the application of AUX model. This expressed model and separation of process structure guarantee its specialty, productivity and flexibility through the humanistic characteristics of users and the independence of technical process structure. The AUX model maps out the AUX information process architecture and expressed the process with the improved MPP algorithm, to analyze of its performance. The simulation of movements applying to MPP traffic allocation of VOD is used to analyze of its performance. The playback deviation of MPP Graphic Allocation Algorism where the AUX model was applied was improved by 10.41% more than the one where it was not applied. As a result of that, playback performance has improved due to the conversion of AUX with accessing media, content of users and dynamic traffic allocation such as MPI and CPI.

• 전자공학회논문지 IE
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• v.43 no.3
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• pp.41-48
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• 2006

In this paper, we propose a new active queue management (AQM) scheme by utilizing the predictability of the Internet traffic. The proposed scheme predicts future traffic input rate by using the auto-regressive (AR) time series model and determines the future congestion level by comparing the predicted input rate with the service rate. If the congestion is expected, the packet drop probability is dynamically adjusted to avoid the anticipated congestion level. Unlike the previous AQM schemes which use the queue length variation as the congestion measure, the proposed scheme uses the variation of the traffic input rate as the congestion measure. By predicting the network congestion level, the proposed scheme can adapt more rapidly to the changing network condition and stabilize the average queue length and its variation even if the traffic input level varies widely. Through ns-2 simulation study in varying network environments, we compare the performance among RED, Adaptive RED (ARED), REM, Predicted AQM (PAQM) and the proposed scheme in terms of average queue length and packet drop rate, and show that the proposed scheme is more adaptive to the varying network conditions and has shorter response time.