• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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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.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.240-257
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• 2023

The industrial Internet of Things (IIoT) is characterized by intelligent connection, real-time data processing, collaborative monitoring, and automatic information processing. The heterogeneous IIoT devices require a high data rate, high reliability, high coverage, and low delay, thus posing a significant challenge to information security. High-performance edge and cloud servers are a good backup solution for IIoT devices with limited capabilities. However, privacy leakage and network attack cases may occur in heterogeneous IIoT environments. Cloud-based multi-party computing is a reliable privacy-protecting technology that encourages multiparty participation in joint computing without privacy disclosure. However, the default cloud selection method does not meet the heterogeneous IIoT requirements. The server can be dishonest, significantly increasing the probability of multi-party computation failure or inefficiency. This paper proposes a blockchain and smart contract-based optimized cloud node selection framework. Different participants choose the best server that meets their performance demands, considering the communication delay. Smart contracts provide a progressive request mechanism to increase participation. The simulation results show that our framework improves overall multi-party computing efficiency by up to 44.73%.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.259-263
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• 2006

As the concept of Ubiquitous Computing has become an important issue, we need to have a voice in the field of Transportation. Ubiquitous Computing means that IT network based on realization of 5 Any(Anytime, Anywhere, Anything, Anynetwork, Anydevice) is deeply penetrated into our daily life. As ITS has developed with the aid of IT and Transportation Technology together, we need to discuss u-Transportation concept with Ubiquitous Computing and Transportation Technology. According to the recent papers and studies, Transportation or Transportation Information sector is mentioned as a major application of Ubiquitous Computing. However, most of the studies are limited to the basic concept without any in-depth understanding about Transportation. This paper present the implementation of u-Transportation and the role of Transportation Technology based on recent technology trend.

• 한국정보통신설비학회:학술대회논문집
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• 2004.08a
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• pp.132-136
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• 2004

본 논문은 SDP(Software Define Platform)와 연동하여 홈 네트워킹에 필요한 정보를 저장하고 검색하는 홈 네트워크 저장장치인 능동형 미디어 스토리지 플랫폼 연구에 관해 기술한다. 능동형 미디어 스토리지 플랫폼은 단순한 데이터 저장 뿐만 아니라 SDP가 요구하는 정보를 어플리케이션에 따라 다르게 처리할 수 있다. 또한 멀티미디어 스트림을 로컬 네트워크상에 최적화하여 어플리케이션에 제공한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.503-506
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• 2003

The most profound technologies are those that disappear. Silicon-based information technology, in contrast, is far from having become part of the environment. The idea of integrating computers seamlessly into the world at large runs counter to a number of present-day trends. Ubiquitous computing is not just aiming nomad multimedia. Rather, this computing environment lets us free to use computers without thinking and so to focus beyond them on new goals. In that context, Mom is such a fundamental membrane through which humans can interact with the environment. An embodied interaction paradigm, based on Mom, is investigated. Mom, space. sensing/perception, ubiquitous computing, and interactive technology are some of the key ideas to explore.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.158-161
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• 2004

In this paper, we propose a level of contexts such as low level and high level contexts, and its criteria of categorization are the existence of interaction and composite process done by the inference mechanism. When there is no matching high level service for the associated high level context, this context is described as meaningless. If the services cannot be provided with the entities by the system, this situational information is of little consequence. To provide services with the entities, we propose "community computing" architectural concept which provide the high level service to a group of agents in a community, and can be managed by the service scenario

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.547-551
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• 2006

디렉터리와 파일의 계층적 구조를 가지는 계층적 파일 시스템은 오늘날 대부분의 범용 컴퓨터에서 흔히 사용되고 있다. 계층적 파일 시스템은 직관적이고, 체계적이며, 단순하다는 장점이 있으나 검색이 용이 하지 않으며, 메타데이터를 관리하기 어렵다는 단점이 존재한다. 본 연구에서는 계층적 파일 시스템의 장점과 빠른 검색기능을 활용하여 메타데이터를 검색하고 관리할 수 있는 데이터베이스의 장점을 결합하여 계층적 파일 시스템에서 메타데이터를 관리할 수 있는 방법을 제안하였다. 데이터 그리드와 같이 분산된 데이터 저장 장치를 연동하여야 하는 경우에 원격지에 있는 파일 시스템의 파일들을 검색하는 일이 빈번히 수행되는데, 이 경우 본 연구에서 제안한 방법을 사용하면 효과적인 시스템을 기대할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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• pp.383-403
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• 2021

With the development of mobile edge computing (MEC), some late-model application technologies, such as self-driving, augmented reality (AR) and traffic perception, emerge as the times require. Nevertheless, the high-latency and low-reliability of the traditional cloud computing solutions are difficult to meet the requirement of growing smart cars (SCs) with computing-intensive applications. Hence, this paper studies an efficient offloading decision and resource allocation scheme in collaborative vehicular edge computing networks with multiple SCs and multiple MEC servers to reduce latency. To solve this problem with effect, we propose a context-aware offloading strategy based on differential evolution algorithm (DE) by considering vehicle mobility, roadside units (RSUs) coverage, vehicle priority. On this basis, an autoregressive integrated moving average (ARIMA) model is employed to predict idle computing resources according to the base station traffic in different periods. Simulation results demonstrate that the practical performance of the context-aware vehicular task offloading (CAVTO) optimization scheme could reduce the system delay significantly.

• The Journal of Information Systems
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• v.31 no.2
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• pp.63-88
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• 2022

Purpose The purpose of this study is to empirically analyze the factors affecting the intention to use cloud computing in the smart work environment. This study is meaningful in that it examines the characteristics of smart work and the fit of cloud computing characteristics, and it is a study that reveals the factors affecting the intention to use cloud computing by applying the integrated model of TTF and TAM. Design/methodology/approach In order to understand the factors affecting the intention to use cloud computing in the smart work environment, a research model that integrates TTF and TAM with the hypothesis was proposed. In order to verify the research hypothesis, this study conducted a survey on individuals with experience in smart work and cloud computing. And with the data 280 collected in the survey, path analysis was performed using the PLS structural equation. Findings As a result, it was found that task characteristics and technology characteristics had a positive (+) effect on task-skill fit, and task-skill fit had a positive (+) effect on perceived ease of use and usefulness. Also, task-skill fit, perceived ease of use, and perceived usefulness were found to have a positive (+) effect on intention to use.

• The Journal of Society for e-Business Studies
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• v.13 no.4
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• pp.49-69
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• 2008

Recently, ubiquitous computing technology becomes available to develop advanced electronic commerce：u-commerce. Hence, it is the very time to perform feasibility analysis in applying ubiquitous computing technology, especially estimating economical value of the on-going technology. Hence, the purpose of this paper is to propose a financial value estimating methodology in performing feasibility test on ubiquitous computing technology. To do so, Black and Scholes model is basically adopted. To show the feasibility if the idea proposed in this paper, actual case study through focused group interview with those who are actually performing on-going ubiquitous computing projects. As the result, we validated the possibility of applying Black-Sholes model to assessing feasibility analysis for ubiquitous technology development with the price of call option, volatility, and the comparison with other similar technologies.