• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권5호
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• pp.959-975
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• 2011

Wireless mesh networks enlarge the wireless coverage area by interconnecting relatively stationary wireless routers (mesh routers). As wireless mesh networks are envisioned to provide high-bandwidth broadband Internet service to a large community of users, the Internet gateway, which acts as a central point of Internet attachment for the mesh networks, is likely to suffer heavily from the scramble for shared wireless resources because of aggregated traffic toward the Internet. It causes performance decrement on end-to-end transmissions. We propose a scheme to balance the load in a mesh network based on link quality variation to different Internet gateways. Moreover, under the mesh coverage, mobile nodes can move around and connect to nearby mesh routers while still keeping the connections to the Internet through the best gateway in terms of link quality. In this structure, gateways perform the balancing procedure through wired links. Information about gateways and mobile node's location is distributed appropriately so that every mesh router can quickly recognize the best gateway as well as the positions of mobile nodes. This distributed information assists mobile nodes to perform fast handoff. Significant benefits are shown by the performance analysis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1520-1542
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• 2020

Traditional software testing typically uses many physical resources to manually build various test environments, resulting in high resource costs and long test time due to limited resources, especially for small enterprises. Cloud computing can provide sufficient low-cost virtual resources to alleviate these problems through the virtualization of physical resources. However, the provision of various test environments and services for implementing software testing rapidly and conveniently based on cloud computing is challenging. This paper proposes a multilayer cloud testing model based on cloud computing and implements a hybrid cloud testing system based on virtual machines (VMs) and networks. This system realizes the automatic and rapid creation of test environments and the remote use of test tools and test services. We conduct experiments on this system and evaluate its applicability in terms of the VM provision time, VM performance and virtual network performance. The experimental results demonstrate that the performance of the VMs and virtual networks is satisfactory and that this system can improve the test efficiency and reduce test costs through rapid virtual resource provision and convenient test services.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.3192-3212
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• 2016

With the advent and popularity of e-commerce, an increasing number of consumers prefer to order tourism products online. A recommender system can help these users contend with information overload; however, such a system is affected by the cold start problem. Online tourism destination searching is a more difficult task than others on account of its more restrictive factors. In this paper, we therefore propose a tourism destination recommender system that employs opinion-mining technology to refine user preferences and item opinion reputations. These elements are then fused into a hybrid collaborative filtering method by combining user- and item-based collaborative filtering approaches. Meanwhile, we embed an artificial interactive module in our recommender system to alleviate the cold start problem. Compared with several well-known cold start recommendation approaches, our method provides improved recommendation accuracy and quality. A series of experimental evaluations using a publicly available dataset demonstrate that the proposed recommender system outperforms existing recommender systems in addressing the cold start problem.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권7호
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• pp.2815-2839
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• 2020

In a cloud computing paradigm, allocation of various virtualized ICT resources is a complex problem due to the presence of heterogeneous application (MapReduce, content delivery and networks web applications) workloads having contentious allocation requirements in terms of ICT resource capacities (resource utilization, execution time, response time, etc.). This task of resource allocation becomes more challenging due to finite available resources and increasing consumer demands. Therefore, many unique models and techniques have been proposed to allocate resources efficiently. However, there is no published research available in this domain that clearly address this research problem and provides research taxonomy for classification of resource allocation techniques including strategic, target resources, optimization, scheduling and power. Hence, the main aim of this paper is to identify open challenges faced by the cloud service provider related to allocation of resource such as servers, storage and networks in cloud computing. More than 70 articles, between year 2007 and 2020, related to resource allocation in cloud computing have been shortlisted through a structured mechanism and are reviewed under clearly defined objectives. Lastly, the evolution of research in resource allocation techniques has also been discussed along with salient future directions in this area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.3030-3049
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• 2023

With the development and wide application of hybrid network computing modes like cloud computing, edge computing and fog computing, the customer service requests and the collaborative optimization of various computing resources face huge challenges. Considering the characteristics of network environment resources, the optimized deployment of service resources is a feasible solution. So, in this paper, the optimal goals for deploying service resources are customer experience and service cost. The focus is on the system impact of deploying services on load, fault tolerance, service cost, and quality of service (QoS). Therefore, the alternate node filtering algorithm (ANF) and the adjustment factor of cost matrix are proposed in this paper to enhance the system service performance without changing the minimum total service cost, and corresponding theoretical proof has been provided. In addition, for improving the fault tolerance of system, the alternate node preference factor and algorithm (ANP) are presented, which can effectively reduce the probability of data copy loss, based on which an improved cost-efficient replica deployment strategy named ICERD is given. Finally, by simulating the random occurrence of cloud node failures in the experiments and comparing the ICERD strategy with representative strategies, it has been validated that the ICERD strategy proposed in this paper not only effectively reduces customer access latency, meets customers' QoS requests, and improves system service quality, but also maintains the load balancing of the entire system, reduces service cost, enhances system fault tolerance, which further confirm the effectiveness and reliability of the ICERD strategy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권1호
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• pp.211-232
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• 2024

In this paper, we consider the resource allocation and offloading decisions of device-to-device (D2D) cooperative UAV-assisted mobile edge computing (MEC) system, where the device with task request is served by unmanned aerial vehicle (UAV) equipped with MEC server and D2D device with idle resources. On the one hand, to ensure the fairness of time-delay sensitive devices, when UAV computing resources are relatively sufficient, an optimization model is established to minimize the maximum delay of device computing tasks. The original non-convex objective problem is decomposed into two subproblems, and the suboptimal solution of the optimization problem is obtained by alternate iteration of two subproblems. On the other hand, when the device only needs to complete the task within a tolerable delay, we consider the offloading priorities of task to minimize UAV computing resources. Then we build the model of joint offloading decision and power allocation optimization. Through theoretical analysis based on KKT conditions, we elicit the relationship between the amount of computing task data and the optimal resource allocation. The simulation results show that the D2D cooperation scheme proposed in this paper is effective in reducing the completion delay of computing tasks and saving UAV computing resources.

• 한국비블리아학회지
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• 제20권2호
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• pp.17-30
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• 2009

본 연구에서는 세계 여러 나라에서 이루어지고 있는 지식정보서비스(참고봉사)의 품질을 향상시키기 위한 것으로, 전문사서가 신속 정확하게 정보자원을 검색해서 제공할 수 있도록 하는 정보접근 환경의 조성방안, 즉 온라인 정보자원의 확보 및 효과적 연계방안을 제안하고 있다. 이를 위해 지금까지 논의되었던 이론적 논의와 국내외 온라인참고정보원 구축사례를 분석하고 이로부터 시사점을 도출하였으며, 이를 기반으로 한 본 연구의 제안 내용은 다음과 같다. 1) 온라인참고정보원의 공동 구축 및 공동활용, 2) 분류체계 개발 및 정보원의 주제별 세분화, 3) 메타데이터 등 표준화된 데이터포맷 개발, 4) 온라인참고정보원 선정기준 개발, 5) '질의/응답DB'를 주제별로 분류 제공, 6) 각종 국가 DB 및 오픈액세스 저널 등 연계 가능한 모든 자료를 연계.

• 정보교육학회논문지
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• 제5권1호
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• pp.83-100
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• 2001

멀티미디어 기능을 갖춘 빠른 속도의 컴퓨터의 활용을 뜻하는 정보기술의 교육적 활용은 아직은 초기 단계에 있다고 할 수 있다. 또한 정보기술의 한 형태라고 할 수 있는 인터넷 활용의 경우에 있어서도 컴퓨터의 발전과 더불어 생긴 대화 채널이자 정보 검색의 도구인 인터넷은 교사들로 하여금 그 어느 때보다도 교수-학습 자료를 손쉽게 찾을 수 있게 하고 있으나 인터넷의 교육적 활용 역시 초기 단계라고 할 수 있다. 그리하여 본 연구에서는 이러한 교육정보화 및 교사정보화를 목적으로 교사들(수학교과)의 전반적인 인터넷활용 실태에 관한 조사를 바탕으로 학교교육에서의 인터넷 활용 증진 및 개선 방안에 관하여 알아보았다.

• Child Health Nursing Research
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• 제26권2호
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• pp.190-200
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• 2020

Purpose: This study was conducted to identify correlations between how much fever management information mothers obtained from the internet and their actual knowledge and practices of fever management. Methods: This was a descriptive survey of 172 mothers with children aged between 0 and 3 attending five daycare centers located in the city of Daegu. Descriptive statistics, the independent t-test or one-way analysis of variance, and Pearson correlation coefficients were used for data analysis. Results: In total, 75% of the mothers had searched the internet for information on fever management. The overwhelming majority (92.2%) used information from the internet to help manage fever in their children. Positive correlations were found between acquiring fever management information from the internet and fever management practices (r=.18, p=.038), and between mother's knowledge and practices of fever management (r=.27, p<.001). Conclusion: Based on the results of this study, to improve fever management practices, it is necessary to increase mothers' knowledge. Therefore, resources should be developed to augment mothers' knowledge of fever management through the internet.

• 정보관리학회지
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• 제16권3호
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• pp.65-82
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• 1999

부적절한 검색어의 선정 및 검색식의 작성은 인터넷 정보검색 수행 시 검색 효율 저하의 주요 원인으로 작용하게 된다. 또한 정보검색 수행 시 발생하는 어휘의미중의성(Word Sense Ambiguation) 역시 검색 효율 저하의 주요 원인으로 작용하는데, 어휘의미중의성에 의한 효율 저하 정도를 실험을 통해 확인하였다. 어휘의미중의성에 의한 검색 효율 저하란 검색어로 입력한 어휘가 문서에서 서로 다른 의미로 사용됨에 따라 의도하지 않은 다른 문서가 검색될 수 있음을 의미한다. 본 논문에서는 새로운 정보검색 환경인 인터넷기반정보검색에 있어 어휘의미중의성이 검색 정확률에 미치는 영향을 살펴보고, 기존의 정보검색에 있어 어휘의미중의성에 관한 연구가 인터넷기반 정보검색에 있어서도 제대로 적용되는지를 조사 분석하였다.