• Journal of Communications and Networks
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• v.13 no.6
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• pp.621-624
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• 2011

With the rapid growth of internet traffic, accurate and reliable prediction of internet traffic has been a key issue in network management and planning. This paper proposes an autoregressive-generalized autoregressive conditional heteroscedasticity (AR-GARCH) error model for forecasting internet traffic and evaluates its performance by comparing it with seasonal autoregressive integrated moving average (ARIMA) models in terms of root mean square error (RMSE) criterion. The results indicated that the seasonal AR-GARCH models outperformed the seasonal ARIMA models in terms of forecasting accuracy with respect to the RMSE criterion.

• Journal of Information Technology Applications and Management
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• v.17 no.2
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• pp.133-154
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• 2010

Recently, Internet Telephony has become increasingly popular in telecommunication industry. However, previous research on Internet Telephony has focused on analyzing specific Internet Telephonysolutions, identifyingthe Internet Telephony movement itself. The research on prediction models about Internet Telephony adoption has been minimal. The main propose of this study is to develop models for predicting transition intention from using traditional telephones to using Internet Telephony. To do so, this study uses data mining methods to analyze demands in the IT communications market and to provide management strategies for Internet telephony providers. Especially this study uses discriminant analysis, logistic regression, classification tree, and neural nets to develop those prediction models toward Internet Telephony adoption. The models are compared with each other and a superior model is chosen.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.187-199
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• 2010

Recently, Internet Telephony has become increasingly popular in telecommunication industry. However, previous research on Internet Telephony has focused on analyzing specific Internet Telephony solutions, identifying the Internet Telephony movement itself. The research on prediction models about Internet Telephony adoption has been minimal. The main propose of this study is to develop models for predicting transition intention from using traditional telephones to using Internet Telephony. To do so, this study uses data mining methods to analyze demands in the IT communications market and to provide management strategies for Internet telephony providers. Especially this study uses discriminant analysis, logistic regression, classification tree, and neural nets to develop the prediction models for the Internet Telephony adoption. The models are compared with each other and a superior model is chosen.

• ETRI Journal
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• v.27 no.1
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• pp.64-74
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• 2005

Traditional Internet pricing schemes are coming under continual pressure to adapt to, and encourage, a changing mix of Internet applications and consumer usage patterns. Much research effort over the last decade has been focused on developing more efficient and attractive charging schemes. However, none of the proposed models has been widely deployed. This raises questions regarding the inhibiting factors and missing pieces that make pricing the Internet such a challenge. In this paper, we discuss the problems with current Internet pricing schemes, review the history of Internet pricing research over the last ten years, and summarize the key features and motivations of the most significant models. We develop a novel visual approach to comparing and evaluating such schemes using a three-dimensional (3D) metric encompassing technical efficiency, economic efficiency, and social impact. We address and discuss the important factors that have inhibited the deployment of the reviewed models and suggest productive areas of focus for future Internet pricing research.

• The Journal of Information Systems
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• v.10 no.2
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• pp.33-64
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• 2001

With the development of the Internet, electronic commerce, electronic markets, and digital economy, new business paradigm and new ways of business have been emerging and developing. The development of right and robust business models for electronic markets is a key for Internet business success. This parer reviews previous studies and successful cases for business models based on the Internet. This paper presents strategic factors such as the business value and the source of revenue, products and services, business processes and technologies, and the characteristics of electronic markets and relationship with customers and partners as a framework for developing sustainable and robust business models. This paper presents seven propositions for developing successful Internet business models as guidelines for practitioners and theorists.

• Information Systems Review
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• v.8 no.2
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• pp.51-72
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• 2006

This study investigates the typology of Internet business models according to revenue sources, and empirically tests how the revenue sources of each Internet business model are different each other. This study consists of the following two steps. First, AHP(Analytic Hierarchy Process) is adopted in developing the influential factors(indexes) for the profitability of each Internet business model and the weight score of each factor. The questionnaire for AHP consists of 47 questions on 9-point scales, and was distributed to 10 experts on Internet business model. Expert Choice program has been used for analysis. Second, the questionnaire to survey the current profitability of each Internet business model was developed on 5-point scale. In order to analyze the actual revenue quality and source of Internet business models, we used MANOVA and ANOVA. This study contributes to develop the desirable revenue or profit model of each Internet business model, and also provides a reference in evaluation of the revenue quality of Internet business models.

• The Journal of Society for e-Business Studies
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• v.4 no.3
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• pp.95-118
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• 1999

There have been many research papers and practical implementations on the various EC(Electronic Commerce) aspects such as merchant system, security, payment gateway, legal and policy issues. However, it is very hard to find the systematic approaches and business process models from the viewpoint of the company willing to start B2C(Business-To-Customer) EC. Therefore, we develop business process models for the planning, systems analysis and design, implementation, and operation of internet shopping mall to suggest a guideline and reference model for the realization of successful B2C EC.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.28-34
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• 2021

Internet Service Providers (ISPs) constantly endeavor to resolve network congestion, in order to provide fast and cheap services to the customers. This study suggests two models based on Markov chain, using three and four access attempts to complete the call. It involves a comparative study of four models to check the relationship between Internet Access sharing traffic, and the possibility of network jamming. The first model is a Markov chain, based on call-by-call attempt, whereas the second is based on two attempts. Models III&IV suggested by the authors are based on the assumption of three and four attempts. The assessment reveals that sometimes by increasing the number of attempts for the same operator, the chances for the customers to complete the call, is also increased due to blocking probabilities. Three and four attempts express the actual relationship between traffic sharing and blocking probability based on Markov using MATLAB tools with initial probability values. The study reflects shouting results compared to I&II models using one and two attempts. The success ratio of the first model is 84.5%, and that of the second is 90.6% to complete the call, whereas models using three and four attempts have 94.95% and 95.12% respectively to complete the call.

• The Journal of Korean Association of Computer Education
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• v.11 no.5
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• pp.47-55
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• 2008

The Internet is one of the most infrastructure for information technology in school education. Providing the Internet with a proper bandwidth is an important element for efficient school education for information technology, especially because several instructional models based on new Internet technologies are under development. To support these instructional models, it is important for the schools to provide the proper Internet bandwidth wherever necessary. In this paper, the amount and pattern of internet usage in school were analyzed. Based on this analysis, we propose how to figure out a proper bandwidth for a different ladder of schools.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.4
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• pp.452-474
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• 2010

Formidable growth of Internet technologies has revealed challenging issues about its scale and performance evaluation. Modeling and simulation play a central role in the evaluation of the behavior and performance of the large-scale network systems. Large numbers of nodes affect simulation performance, simulation execution time and scalability in a weighty manner. Most of the existing simulators have numerous problems such as size, lack of system theoretic approach and complexity of modeled network. In this work, a scalable discrete-event modeling approach is described for studying networks' scalability and performance traits. Key fundamental attributes of Internet and its protocols are incorporated into a set of simulation models developed using the Discrete Event System Specification (DEVS) approach. Large-scale network models are simulated and evaluated to show the benefits of the developed network models and approaches.