• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• Journal of the Korea Society of Computer and Information
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• v.6 no.3
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• pp.64-71
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• 2001

In this paper we propose the network traffic monitoring system that can supported network and system operation, management, expansion, and design using network analysis and diagnosis to a network administrator. The proposed system consists of two parts: analysis server for collection and analysis of the network information. and supports real-time monitoring of network traffic, and client system shows user a graphical data that analyzed a returned result from the server This system implements web-based technology using java and contributes to enhance the effectiveness of network administrator's management.

• Proceedings of the Korea Multimedia Society Conference
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• 2000.11a
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• pp.549-552
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• 2000

본 논문은 웹 기반 네트워크 관리 시스템 WNMS(Web-based Network Management System)에 대한 설계 및 구현에 대해 기술한다. WNMS는 크게 네트워크 구성 관리, MIB(Management Information Base: 이하 MIB ) Browser, 그리고 트래픽 모니터링 기능을 갖는다. 네트워크 구성 관리는 관리 서버가구동 되면, 네트워크들과 네트워크 장비들을 찾는다. 이는 관리자에게 전체적인 네트워크 구성을 한눈에 쉽게 파악할 수 있게 한다. MIB Browsers 는 관리자가 직접 SNMP 에이전트의 특정한 관리정보(MIB 노드 값)를 검색 또는 조작할 수 있게 한다. 그리고 트래픽 모니터링은 구성 관리에서 찾아진 네트워크나 네트워크 장비의 트래픽을 실시간으로 그래프로 보여준다

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.41 no.5
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• pp.37-45
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• 2004

As Internet technologies are mature, many new applications that are different characteristics are emerging. Recently we see wide use of P2P(Peer to Peer) applications of which traffic shows different statistical characteristics compared with traditional application such as web(HTTP) and FTP(File Transfer Protocol). In this paper, we measured subscriber network of KT(Korea Telecom) to analyze P2P traffic characteristics. We show flow characteristics of measured traffic. We also estimate Hurst parameter of P2P traffic and compare self-similarity with web traffic. Analysis results indicate that P2P traffic is much bustier than web traffic and makes both upstream traffic and downstream traffic be symmetric. To predict parameters related QoS such as packet loss and delays we model P2P traffic using two self-similar traffic models and predict both loss probability and mm delay then compare their accuracies. With simulation we show that the self-similar traffic models we derive predict the performance of P2P traffic accurately and thus when we design a network or evaluate its performance, we can use the P2P traffic model as reference input traffic.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.657-666
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• 2001

In this paper, it is proposed the management items for voice traffic using CDRs so that global carriers can treat and manage the voice traffic for a customer, and defined computational expressions to produce the management items. From them, we have designed the management system, which is composed of web interface module, analysis module, data collection module and database management module, and have improved the availability and convenience of the system using web technologies. In addition, we have tested these items using CDRs in real environments that are collected by the global carrier in order to verify their validity. It is expected that the proposed web based voice traffic management system provide a global carrier with network information collection, fault detection/trouble-shooting and high quality of service through analyzing the characteristics of subscribers.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.274-276
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• 2004

본 논문에서는 현재 웹에서 제공되는 사이버 강의를 수강자가 인터넷을 통해 제공받을 때 사이버 교육컨텐츠들이 대역폭에 미치는 영향을 측정 분석한다. 또한 이더넷(Ethernet)을 통하여 스트리밍 형식의 사이버 강의를 수강할 경우 네트워크에 존재하는 설러 종류의 배경(Background)트래픽에 의하여 대역폭이 점유되므로 한정된 네트워크 환경에서는 강의 수강에 어려움이 있을 것으로 예상된다. 따라서 컨텐츠의 원활한 전달을 위해 FTP(File Transfer Protocol)를 이용하여 배경 트래픽을 발생시켜 이때 측정되는 사이버 강의 트래픽을 분석하여 강의의 전달 특성과 문제점을 파악한다. 마지막으로 사이버 강의를 수강하는 학습자의 위치에 따라 네트워크 환경을 살펴본 후 각각의 환경에서 강의를 수강할 경우를 가정하여 실제 트래픽을 측정 분석함으로써 강의제작에 선행되어야할 바랑직한 조건을 제안한다.

• Journal of Internet Computing and Services
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• v.5 no.4
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• pp.63-76
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• 2004

For efficient design and operation of a communication network, precise simulation of network characteristics is essential. This issue has been the focus of research by several groups. In this study, we first modeled the HTTP traffic which would be employed on simulation on the level of application using the real collected traffic data. There are two different viewpoints on the characteristics of web traffic pattern, Poisson distribution and self-similar characteristics. In our study, the results show that web traffic characteristics do not depend on only one type of distribution, but the traffic can be modeled as composition of these depending on the size of response of Web server. This implicates that the web traffic can be modeled as the combination of two characteristics. We also found that the characteristics of Web traffic rely on the properties of web servers. This result was deployed as a traffic generator in implementing the network simulator (NetDAS).

• The Journal of Society for e-Business Studies
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• v.13 no.4
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• pp.161-171
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• 2008

The most important reason for increasing web traffic and overloaded web servers is a dramatic growth of web users which leads to a great dissatisfaction of each individual user. For overcoming this situation, studies for an acceleration of web content have been conducted actively. We use web caching technology for reducing the load of the web system and traffic in the network. In this paper, we proposed a new web caching technology with the related web object which based on the unit of web processing and characteristics of the web object. Also we verified the availability of the proposed system with comparison and experiments.,

• The KIPS Transactions:PartC
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• v.15C no.4
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• pp.321-328
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• 2008

In this paper, we analyze web response time depending on queue managements and transmission latencies in highly congested network situation. Under FIFO scheme, the response times are for three different sizes of queue are almost the same, but the response time increases as traffic intensity increases. The performance between different queue sizes shows more different in 90% and 98% traffic intensity than in 80% traffic intensity. Especially the difference becomes bigger in short latency case than long latency case. Under RED scheme, three differently tunned RED schemes do not impact on the response time when the size of queue is relatively large. When the queue size becomes smaller, the response time of the differently tunned RED schemes becomes different for short latency case while the response times are almost same for long latency case. When comparing FIFO and RED schemes under same size of queue, RED scheme shows less response time than that of FIFO for the long latency case in high traffic intensity.

• Korean journal of communication and information
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• v.64
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• pp.109-135
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• 2013

This study is for empirical verification of the influence of the introduction of smart phone on using the portal sites that were affected the most in the previous media environment. To achieve this, Web traffic data that are the result of smart phone users' practical Web uses have collected longitudinally and analyzed. The research results are the following: First, the use hours of portal sites have decreased about 15% and the page views have did about 35%, since using smart phones was diffused and habituated in earnest during the past two years. Using the community, news media, video, mobile, and game section of portal site sections have reduced. Second, the portal site portion of using smart phone Web is much more than that portion of using PC Web. More than two thirds of smart phone Web use traffic occurs in using portal sites, while more than one third of PC Web use traffic does in using that. Using the news media section is the most of using portal site sections on a smart phone. Third, since the introduction of smart phone, using the news media, communication, and life section of portal site sections have greatly increased, while the community, mobile, and game section have greatly decreased in the aggregate.