• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.16-26
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• 2024

Mobile edge computing (MEC) plays a crucial role in improving the performance of resource-constrained mobile devices by offloading computation-intensive tasks to nearby edge servers. However, existing methods often neglect the critical consideration of future task requirements when making offloading decisions. In this paper, we propose an innovative approach that addresses this limitation. Our method leverages recurrent neural networks (RNNs) to predict task sizes for future time slots. Incorporating this predictive capability enables more informed offloading decisions that account for upcoming computational demands. We employ genetic algorithms (GAs) to fine-tune fitness functions for current and future time slots to optimize offloading decisions. Our objective is twofold: minimizing total processing time and reducing energy consumption. By considering future task requirements, our approach achieves more efficient resource utilization. We validate our method using a real-world dataset from Google-cluster. Experimental results demonstrate that our proposed approach outperforms baseline methods, highlighting its effectiveness in MEC systems.

• Journal of Korean Academy of Nursing
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• v.33 no.8
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• pp.1135-1144
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• 2003

Purpose. This study was conducted to understand the degree of internet addiction tendency and to find out the factors influencing this addiction tendency among middle school students in Gyeong-buk area. Methods. A total of 450 middle school students in the Daegu and Gyeong-buk area were surveyed in this study. Data collection was conducted through the use of questionnaires. Results. Internet addiction among middle school students was relatively low (Average user). In the overall ratio distribution, however, students who were classified as either addicted or at risk of addiction accounted for a high percentage, 27%. A positive correlation was found between Internet addiction and Internet expectation, depression and parent control over Internet use. A negative correlation was found between Internet addiction and interpersonal relationship, parent support and self-control. Multiple regression analysis revealed that the most powerful predictor of Internet addiction tendency was depression. Conclusion. Through the above results, it would be necessary to develop an Internet addiction prevention program for adolescents taking into account for the psychological factors such as depression and Internet use habits. In the future study, the need assessment will be useful for developing this prevention program.

• 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.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.4
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• pp.49-62
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• 1999

Since the Internet was applied for commercial purpose, many companies have been making use of the Internet in electronic commerce and the Internet has brought many changes on consumer and supplier behaviors. It seems that consumers and suppliers can obtain more accurate information rapidly and pay less for the same product/service than in traditional commerce. This study tries to investigate the difference in the cost factors perceived by consumers between traditional commerce and the Internet commerce. Empirical results show that there is no significant difference in consumers' perception of cost factors between traditional commerce and the Internet commerce. Contrary to general perception, a large number of consumers do not believe that the Internet commerce is generally more economical than traditional commerce. The factors where the consumers think Internet commerce has cost advantages are search cost and purchasing cost. However, consumers are understanding the benefits of the Internet commerce and are expecting that Internet commerce bring about economic advantages in consumer markets in the near future.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.35-41
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• 2017

In the rapid industrialization and civilization, the material and the life have been enriched, but smart phone and the Internet are spreading and the spirit of Korean modern people is falling into addiction without knowing themselves. In particular, according to the recent Internet addiction reported by the National Statistical Office, "the Internet addiction rate in 2014 is the highest among adolescents to 19 years old." This study empirically analyzed whether internet addiction, smart phone addiction, sports activities and reading affect adolescents' emotional intelligence and self-esteem. Regression analysis showed that internet addiction, smart phone addiction and sports activities affected emotional intelligence and reading did not affect. Also, internet addiction, smart phone addiction and sports activities were found to affect self-esteem and reading did not affect. Reading and emotional intelligence, reading and self-esteem seem to require further study in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.1
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• pp.81-86
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• 2008

Fast spreading Internet worms, such as Code Red and Slammer, have become one of the new major throne of the Internet recently. In order to defend against theses worms, it is essential to understand how Internet worms propagate and how different Internet factors affect worm spreading. In this paper, we intend to describe the spread of worms on Internet environments accurately. Therefore we model and analyze the spreading effects by various simulations considering Internet addressing and speed. The results lead to a better prediction of the worm spreading on current and future Internet environments.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.11B
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• pp.1007-1015
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• 2003

In this Paper, we propose a method of determining the price for the elastic traffic in the current or future Internet services. First, we investigate the behavior in the consumption of bandwidth of elastic traffic in IP network. Next, we propose a new 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. Next, we propose an optimal charging function for elastic traffic, which is applicable to any Internet services. Finally, we will illustrate the implication of the work via simple numerical experiments.

• Journal of the Korea Computer Industry Society
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• v.6 no.2
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• pp.337-344
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• 2005

This research is a study on the model of the economic value measurement of Internet Business properties(especially security property) that will take considerable parts in ail transactions. The study can contribute to decide the priority of investment among several Internet Business properties and justify the cost for improving Internet Business elements. However the study have some research limits not to be analyzed by the empirical verification. Future research agenda includes the practical survey of WTP of Internet Business properties, and the practical availability of the proposed model. Especially, many problems will occur in the process of the empirical analysis, so additional works should be done in the future.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.3
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• pp.135-148
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• 2003

In this paper we introduce the Internet-based purchase support systems using data mining and case-based reasoning (CBR). Internet Business activity that involves the end user is undergoing a significant revolution. The ability to track users browsing behavior has brought the vendor and end customer's closer than ever before. It is now possible for a vendor to personalize his product message for individual customers at massive scale. Most of former researchers, in this research arena, used data mining techniques to pursue the customer's future behavior and to improve the frequency of repurchase. The area of data mining can be defined as efficiently discovering association rules from large collections of data. However, the basic association rule-based data mining technique was not flexible. If there were no inference rules to track the customer's future behavior, association rule-based data mining systems may not present more information. To resolve this problem, we combined association rule-based data mining with CBR mechanism. CBR is used in reasoning for customer's preference searching and training through the cases. Data mining and CBR-based hybrid purchase support mechanism can reflect both association rule-based logical inference and case-based information reuse. A Web-log data gathered in the real-world Internet shopping mall is given to illustrate the quality of the proposed systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.11
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• pp.3775-3788
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• 2014

With the increasing number of the wireless and mobile networks, the way that people use the Internet has changed substantively. Wireless multimedia services, such as wireless video streaming, mobile video game, and mobile voice over IP, will become the main applications of the future wireless Internet. To accommodate the growing volume of wireless data traffic and multimedia services, cognitive radio (CR) and Information-Centric Network (ICN) have been proposed to maximize the utilization of wireless spectrum and improve the network performance. Although CR and ICN have high potential significance for the future wireless Internet, few studies have been conducted on collaborative operations of CR and ICN. Due to the lack of infrastructure support in multi-hop ad hoc CR networks, the problem is more challenging for video streaming services. In this paper, we propose a Cross-layer Video Streaming Mechanism (CLISM) for Cognitive Radio Ad Hoc Information Centric Networks (CRAH-ICNs). The CLISM included two distributed schemes which are designed for the forwarding nodes and receiving nodes in CRAH-ICNs. With the cross-layer approach, the CLISM is able to self-adapt the variation of the link conditions without the central network controller. Experimental results demonstrate that the proposed CLISM efficiently adjust video transmission policy under various network conditions.