• Journal of Information Processing Systems
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• v.17 no.3
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• pp.615-629
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• 2021

With the development of mobile edge computing, how to utilize the computing power of edge computing to effectively and efficiently offload data and to compute offloading is of great research value. This paper studies the computation offloading problem of multi-user and multi-server in mobile edge computing. Firstly, in order to minimize system energy consumption, the problem is modeled by considering the joint optimization of the offloading strategy and the wireless and computing resource allocation in a multi-user and multi-server scenario. Additionally, this paper explores the computation offloading scheme to optimize the overall cost. As the centralized optimization method is an NP problem, the game method is used to achieve effective computation offloading in a distributed manner. The decision problem of distributed computation offloading between the mobile equipment is modeled as a multi-user computation offloading game. There is a Nash equilibrium in this game, and it can be achieved by a limited number of iterations. Then, we propose a distributed computation offloading algorithm, which first calculates offloading weights, and then distributedly iterates by the time slot to update the computation offloading decision. Finally, the algorithm is verified by simulation experiments. Simulation results show that our proposed algorithm can achieve the balance by a limited number of iterations. At the same time, the algorithm outperforms several other advanced computation offloading algorithms in terms of the number of users and overall overheads for beneficial decision-making.

• Journal of Multimedia Information System
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• v.7 no.2
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• pp.115-124
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• 2020

This paper is a study of deep learning among artificial intelligence technology which has been developing many technologies recently. Especially, I am talking about emotional computing that has been mentioned a lot recently during deep learning. Emotional computing, in other words, is a passive concept that is dominated by people who scientifically analyze human sensibilities and reflect them in product development or system design, and a more active concept that studies how devices and systems understand humans and communicate with people in different modes. This emotional signal extraction, sensitivity, and psychology recognition technology is defined as a technology to process, analyze, and recognize psycho-sensitivity based on micro-small, hyper-sensor technology, and sensitive signals and information that can be sensed by the active movement of the autonomic nervous system caused by human emotional changes in everyday life. Chapter 1 talks about overview and Chapter 2 shows related research. Chapter 3 shows the problems and models of real emotional computing and Chapter 4 shows this paper as a conclusion.

• Convergence Security Journal
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• v.13 no.6
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• pp.17-24
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• 2013

Recently, the cloud computing technology is emerging as an important issue in the world, and In the technology and services has attracted much attention. However, the positive aspects of cloud computing unlike the includes several vulnerabilities. For this reason, the hacking techniques according to the evolution of a variety of attacks and damages is expected. Therefore, this paper will be analyzed through case studies and experiments to the security technology trends of the cloud computing. and In the future, this is expected to be utilized as a basis for the security system design and corresponding technology development.

• Electronics and Telecommunications Trends
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• v.35 no.3
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• pp.45-54
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• 2020

The cloud computing industry has focused on establishing a cloud-based business environment for enterprises with efforts to convert using their own on-premise computing infrastructures to using cloud services. With these efforts, using cloud services has become natural, especially for the IT industry. The cloud computing industry is moving toward proliferation of the cloud computing environment into various evolving industries. Along with industrial trends, new technical trends such as edge computing and multi-cloud are emerging. These trends are expected to create new business models and develop related service ecosystems, providing new opportunities for service providers and new experiences for users. A mong those emerging technologies, multi-cloud technology is expected to realize unlimited global cloud computing resources by unifying cloud resources from multiple public cloud service providers. In this paper, we introduce the concept and related trends of multi-cloud technology. Subsequently, we analyze the main functionalities and several use cases of multi-cloud technology. Finally, we summarize the effects and usefulness of multi-cloud technology in the domestic cloud industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.836-838
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• 2013

In recent years, the future direction of information technology social computing, mobile computing, cloud computing. Web technology industries beyond IT convergence technology for the service side of the parameters has been developed. In particular, the rapid increase of data in a web-based open Web and the importance of the next generation Web technology is increasing. In this paper, the next generation Web technology, an open Web and the importance of increasing domestic and international standardization trends were studied.

• Journal of Information Processing Systems
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• v.1 no.1 s.1
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• pp.96-101
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• 2005

Spotlighted as an innovative information technology environment, ubiquitous computing has been actively researched on recently. Especially, domestic and global researches focus on the RFID system, which is being eyed to replace the existing bar-code system. As an essential technology for ubiquitous computing, the RFID system can be applied for various purposes. The security issues of the RFID system focus on how the low-priced tag type could have reasonable price competitiveness. The Auto-ID Center in the U.S. is spearheading the research on distribution service and omni-directional security. As for Japan, the researches on omni-directional security and EPC application are necessary in securing the technology for ubiquitous computing with support from the Ministry of Public Management Home Affairs, Posts, and Telecommunication. In this paper, a method of ensuring the availability of the RFID system service will be presented based on the ubiquitous computing environment with the existing omni-directional security and user-friendly interface. While the existing researches focus on the RF reader system and tag-based security, this paper's suggestion also considers the availability of a sen ice to suggest ways of increasing the practical usage of a low-priced RF tag.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1935-1950
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• 2023

The arrival of the Internet of Things and 5G technology enables users to rely on edge computing platforms to process massive data. Data sharing based on edge computing refines the efficiency of data collection and analysis, saves the communication cost of data transmission back and forth, but also causes the privacy leakage of a lot of user data. Based on attribute-based encryption and blockchain technology, we design a fine-grained access control scheme for data in edge computing, which has the characteristics of verifiability, support for outsourcing decryption and user attribute revocation. User attributes are authorized by multi-attribute authorization, and the calculation of outsourcing decryption in attribute encryption is completed by edge server, which reduces the computing cost of end users. Meanwhile, We implemented the user's attribute revocation process through the dual encryption process of attribute authority and blockchain. Compared with other schemes, our scheme can manage users' attributes more flexibly. Blockchain technology also ensures the verifiability in the process of outsourcing decryption, which reduces the space occupied by ciphertext compared with other schemes. Meanwhile, the user attribute revocation scheme realizes the dynamic management of user attribute and protects the privacy of user attribute.

• Journal of Information Technology Applications and Management
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• v.27 no.6
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• pp.89-99
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• 2020

Cloud computing is rapidly increasing for achieving comfortable computing. Cloud computing has essentially security vulnerability of software and hardware. For achieving secure cloud computing, the vulnerabilities of cloud computing could be analyzed in a various and systematic approach from perspective of the service designer, service operator, the designer of cloud security and certifiers of cloud systems. The paper investigates the vulnerabilities and security controls from the perspective of administration, and systems. For achieving the secure operation of cloud computing, this paper analyzes technological security vulnerability, operational weakness and the security issues in an enterprise. Based on analysis, the paper suggests secure establishments for cloud computing.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.520-522
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• 2005

본 논문에서는 기존의 그리드 컴퓨팅(Grid Computing)에 자율 컴퓨팅(Autonomic Computing)기술을 적용한 자율 그리드 컴퓨팅(Autonomic Grid Computing)에 관하여 연구하였다. 자율 그리드 컴퓨팅 기술 중 자기 구성(Self-Configuration)을 기존의 그리드 컴퓨팅에 적용하는 기법을 새롭게 제안하였다. 장시간 수행 되어야 하는 과학기술 분야의 연산 작업은 연산시간을 단축하기 위해 새로운 노드의 추가와 같은 시스템의 환경 변화를 자동 감지하여 수행중인 연산 작업에 새로운 노드를 추가할 필요가 있다. 제안한 방법은 새롭게 추가된 노드를 연산 작업에 포함하도록 시스템의 변화를 스스로 구성한다. 기존의 그리드 컴퓨팅 보다 시스템의 변화에 보다 잘 적응한다.

• Journal of Computing Science and Engineering
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• v.5 no.3
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• pp.237-245
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• 2011

The use of technology within the home has gained wide spread acceptance as one possible approach to be used in addressing the challenges of an ageing society. A number of rudimentary assistive solutions are now being deployed in real settings but with the introduction of these technology-orientated services come a number of challenges, which to date are still largely unsolved. At a fundamental level, the management and processing of the large quantities of data generated from multiple sensors is recognised as one of the most significant challenges. This paper aims to present an overview of the types of sensor technologies used within Ambient Assisted Living. Subsequently, through presentation of a series of case studies, the paper will demonstrate how the practical integration of multiple sources of sensor data can be used to improve the overall concept and applications of Ambient Assisted Living.