• Journal of Information Processing Systems
• /
• v.15 no.5
• /
• pp.1192-1200
• /
• 2019

Recently, artificial intelligence techniques have been widely used in the computer science field, such as the Internet of Things, big data, cloud computing, and mobile computing. In particular, resource management is of utmost importance for maintaining the quality of services, service-level agreements, and the availability of the system. In this paper, we review and analyze various ways to meet the requirements of cloud resource management based on artificial intelligence. We divide cloud resource management techniques based on artificial intelligence into three categories: fog computing systems, edge-cloud systems, and intelligent cloud computing systems. The aim of the paper is to propose an intelligent resource management scheme that manages mobile resources by monitoring devices' statuses and predicting their future stability based on one of the artificial intelligence techniques. We explore how our proposed resource management scheme can be extended to various cloud-based systems.

• Journal of Information Processing Systems
• /
• v.16 no.6
• /
• pp.1281-1292
• /
• 2020

More and more cloud computing services are being applied in various fields; however, it is difficult for users and cloud computing service platforms to establish trust among each other. The trust value cannot be measured accurately or effectively. To solve this problem, we design a service-oriented cloud trust assessment model using a cloud model. We also design a subjective preference weight allocation (SPWA) algorithm. A flexible weight model is advanced by combining SPWA with the entropy method. Aiming at the fuzziness and subjectivity of trust, the cloud model is used to measure the trust value of various cloud computing services. The SPWA algorithm is used to integrate each evaluation result to obtain the trust evaluation value of the entire cloud service provider.

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

• Journal of Digital Convergence
• /
• v.13 no.8
• /
• pp.43-49
• /
• 2015

As the cloud computing law was passed in March, 2015, many private companies and public organizations give consideration to introduce cloud computing services. However, most of them are still concerned about the security issues in cloud computing services. To solve the problem, a certification system of cloud security is necessary as an enabler for adoption of the trusted cloud services. There have been a number of studies about certification systems for cloud security, but only few studies exist about certification scheme of cloud security. Therefore, in this study, foreign certification systems for cloud security are analyzed to draw requirements for developing a domestic certification scheme for cloud security. Based on the result of analysis, this study proposes the three certification schemes of cloud security, which have been reviewed by the focus group interview method to draw advantages and disadvantages of each scheme.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.280-283
• /
• 2014

Cloud Computing virtualizes logical resources like cpu, memory and disks etcs from physical machines. This virtualization technology increases computing resource utilization and supports dynamic resource allocations. Because of these benefits, global cloud computing services like Amazon AWS, Google Cloud and Apple iCloud are prevalent. With this cloud Computing services, there has been a request about cloud migration between different cloud environments. If one service which operates in a cloud computing environment wants to migrate to another cloud environment, there should have been a compitability between two different cloud environment. but even global cloud computing services do not support this compitability. In this paper, we suggest a process and technology to cloud migrations based on open sources.

• Journal of Digital Convergence
• /
• v.12 no.5
• /
• pp.263-269
• /
• 2014

Mobile Cloud Service will provide cloud services through mobile devices. Because storage space constraints and computing process performance limitations of mobile devices, this service will process in the cloud environment after moving works and data that have to process in mobile terminal. The obstacles of mobile cloud service activity will have concerned high about the reliability service, data security, and the confidentiality security. In particular, in convergence of mobile services and cloud services, each threats are expected to be generated complicatedly. In this paper, we define the type of mobile cloud services as well as security threats that can occur in mobile cloud. Also we suggest security countermeasures in mobile app. and enterprises countermeasures. We suggest verification of mobile applications for user information protection about security countermeasures in mobile app. Also we describe the cloud providers responsibility and user responsibility about enterprises countermeasures.

• Journal of KIBIM
• /
• v.6 no.3
• /
• pp.49-56
• /
• 2016

As project opportunities for the Architecture, Engineering and Construction (AEC) industry have grown more complex and larger, the utilization of Building Information Modeling (BIM) technologies for three-dimensional (3D) design and simulation practices has been increasing significantly; the typical applications of the BIM technologies include clash detection and design alternative based on 3D planning, which have been expanded over to the technology of construction management in the AEC industry for virtual design and construction. As for now, commercial BIM software has been operated under a single-user environment, which is why initial costs for its introduction are very high. Cloud computing, one of the most promising next-generation Internet technologies, enables simple Internet devices to use services and resources provided with BIM software. Recently in Korea, studies to link between BIM and cloud computing technologies have been directed toward saving costs to build BIM-related infrastructure, and providing various BIM services for small- and medium-sized enterprises (SMEs). This study addressed development of the usage metering functions of BIM software under cloud computing architecture in order to archive and use BIM data and create an optimal revenue structure so that the BIM services may grow spontaneously, considering a demand for cloud resources. For the reason, we surveyed relevant cases, and then analyzed needs and requirements from AEC industry. Based on the relevant cases, customizing for cloud BIM and design for the development was performed. We also surveyed any related-law to support cloud computing-based BIM service. Finally, we proposed herein how to optimally design and develop the usage metering functions of cloud BIM software.

• Journal of KIBIM
• /
• v.8 no.4
• /
• pp.60-71
• /
• 2018

The port BIM technology has many problems such as lack of relevant system, high cost of BIM infrastructure construction, and process difference of existing domestic inter-industry. Since the port facilities as national key industries are managed and operated by public organizations, it is necessary to integrate IT resources and have a system that needs collective construction and joint utilization management. In this paper, we proposed the convergence of cloud computing technology and BIM as a way to reduce the infrastructure cost required for port BIM operation and to provide various BIM services for domestic process. To do this, we collected system requirements based on demand surveys of port staff and designed a BIM browser that provides IFC-based BIM server and customized services to reduce infrastructure cost in cloud computing environment. In terms of infrastructure, we designed cloud-based IaaS to support cost reduction, which is an essential component, and designed SaaS to support customized services in terms of services. We will perform performance verification with focus on whether port BIM servers and browsers have reached a level where they can manage four BIM models with different types and capacities.

• Knowledge Management Research
• /
• v.20 no.2
• /
• pp.59-86
• /
• 2019

As the era of the 4th Industrial Revolution evolves, not only private companies but also government agencies and institutions in public sector are adopting cloud computing services converged by new information technologies such as IoT, big data, and artificial intelligence to strengthen competitiveness and create new business values. The purpose of this study is to investigate the relationship between innovation characteristics, innovation resistance, and acceptance of innovative technologies from the perspective of cloud computing services in the public sector. In this study, we collected the survey data from 190 employees of IT division in the public sector, and analyzed the causal relationship between innovation characteristics, technostress, innovation resistance, and intention to adopt the cloud computing service that they perceived. As a result of the analysis, we demonstrated that innovation characteristics, technostress have significant effect on innovation resistance and acceptance intention, and that top executive commitment and innovation resistance also have significant effect on acceptance intention. This study provides meaningful practical implications for the staffs preparing for adoption of cloud computing services and the executives who make the final decision in public sector.

• Journal of the Semiconductor & Display Technology
• /
• v.21 no.2
• /
• pp.133-137
• /
• 2022

In the smart industry where data plays an important role, cloud computing is being used in a complex and advanced way as a convergence technology because it has and fits well with its strengths. Accordingly, in order to utilize artificial intelligence rather than human beings for quality management of cloud computing services, a consistent standardization method of data collected from various nodes in various areas is required. Therefore, this study analyzed technologies and cases for incorporating artificial intelligence into specific services through previous studies, suggested a plan to use artificial intelligence to comprehensively standardize data in quality management of cloud computing services, and then verified it through case studies. It can also be applied to the artificial intelligence learning model that analyzes the risks arising from the data formalization method presented in this study and predicts the quality risks that are likely to occur. However, there is also a limitation that separate policy development for service quality management needs to be supplemented.