• Journal of Information Technology Services
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• v.11 no.3
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• pp.129-159
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• 2012

Cloud-computing is in the limelight with expectation for cost reduction, because it alleviates the burden of initial investment and maintenance cost and based on pay-as-you-use billing policy. However, many suppliers of Cloud-computing service are suggesting diverse and complicated billing policies without consideration for setting reasonable service billing policy and definite criteria of properties to determine service billing system. So companies willing to use Cloud-computing service are hard to understand the billing system and often spend more expensive cost than necessary. Therefore, this study invested billing system properties of four representative suppliers. Based on these properties of billing system, this study found priorities using AHP survey which conducted to experts who are able to make decisions for adopting Cloud-computing in the company using or willing to use Cloud-computing service. We expect that this study can suggest basic guideline for comparing and analyzing properties of Cloud-computing service with standardized and objective method.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.53-58
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• 2013

Due to the wide spread of the perception of cloud computing, the usage of cloud computing is increasing globally. Cloud computing is able to converge the various industrial domains based on ICT and it is more and more popular because it has a lot of benefits such as cost savings etc. in global economic recession. However, if cloud computing service is to achieve its potential, it is necessary to clearly understand the critical issues such as service security, performance and availability and so on from the perspectives of the providers and the consumers of the cloud service. In addition, customers focus on how to get and use the safe and reliable cloud service. In order to meet these problems, Korea cloud service certification system and Japanese ASP-SaaS-Cloud certification system were performed in each country. This paper aims at comparing and analyzing between them and describing the difference. Eventually, we propose the improvement strategy of Korea cloud service certification system based on the comparison results between them.

• Journal of Digital Contents Society
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• v.12 no.3
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• pp.319-327
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• 2011

Cloud computing is the probated transmission-platform that provide the enterprise or individual with efficient and cost-effective IT service on internet. Cloud computing serve as data or computing is moved from desktop or portable PC to the massive data center. Searching for the services offered by cloud computing indicates that their current service feature needs to be improved to satisfy current and future customers. This study attempted to satisfy this need by identifying the service's features for the cloud computing service environment through qualitative approaches. Finally, we classify into seven features(Security, Reliability, Availability, Inter-operating, Economic, Intellectual Property) of cloud computing service.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.12
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• pp.2294-2314
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• 2011

The key issue in providing fast and reliable access on cloud services is the effective management of resources in a cloud system. However, the high variation in cloud service access rates affects the system performance considerably when there are no default routines to handle this type of occurrence. Adaptive techniques are used in resource management to support robust systems and maintain well-balanced loads within the servers. This paper presents an adaptive resource management for cloud systems which supports the integration of intelligent methods to promote quality of service (QoS) in provisioning of cloud services. A technique of dynamically assigning cloud services to a group of cloud servers is proposed for the adaptive resource management. Initially, cloud services are collected based on the excess cloud services load and then these are deployed to the assigned cloud servers. The assignment function uses the proposed proportional ordering which efficiently assigns cloud services based on its resource consumption. The difference in resource consumption rate in all nodes is analyzed periodically which decides the execution of service assignment. Performance evaluation showed that the proposed dynamic service assignment (DSA) performed best in throughput performance compared to other resource allocation algorithms.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.8
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• pp.499-509
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• 2016

The MSIP has implemented "Act on The Development of Cloud Computing and Protection of Its Users" from September 2015 and invigorated the cloud service industry. The act mainly includes the improvement cloud computing reliability and user protection for the development foundation and use activation. In order to expand the cloud market, it is important to increase the reliability of individual users. However, practical discussions and approach for cloud services adoption are still limited. In fact, there is no agreement standard for domestic cloud services. As a user agreement is not standardized, users feel difficulty compare to each agreement of cloud service provider and may be damaged because of unfair terms. Thus, it is necessary to examine the unfairness of cloud service agreement for user protection. This study analyzes domestic and foreign cloud service agreements including Practical Guide to Cloud Service Agreement of Cloud Standards Customer Council and suggests the direction of the standard agreement of cloud services.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.3
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• pp.623-638
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• 2017

Application fields of cloud technologies have been gradually expanded with development of technology development and diversification of services. Cloud technology is used for investment efficiency, operation efficiency and service competitive advantage in digital broadcasting platform. Recently, Cloud broadcasting platform commercialized for UI(User Interface) and data broadcasting in Korea, and broadcasting service competition becomes fierce. Cloud technology of broadcasting provides remove a service dependency hardware resource and software architecture on STB device, and unified operation of user interface and service using cloud server without legacy separating management of STB types. In this paper, we explain application effects in image based cloud broadcasting service platform.

• Journal of the Semiconductor & Display Technology
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• v.20 no.2
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• pp.121-125
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• 2021

Cloud service has the characteristic that it must be always available and that it must be able to respond immediately to user requests. This study suggests a method for constructing a proactive and autonomous quality and performance management system to meet these characteristics of cloud services. To this end, we identify quantitative measurement factors for cloud service quality and performance management, define a structure for applying a time series framework to cloud service application quality and performance management for proactive management, and then use big data and artificial intelligence for autonomous management. The flow of data processing and the configuration and flow of big data and artificial intelligence platforms were defined to combine intelligent technologies. In addition, the effectiveness was confirmed by applying it to the cloud service quality and performance management system through a case study. Using the methodology presented in this study, it is possible to improve the service management system that has been managed artificially and retrospectively through various convergence. However, since it requires the collection, processing, and processing of various types of data, it also has limitations in that data standardization must be prioritized in each technology and industry.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1245-1255
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• 2015

As cloud computing services become popular, the concern on the data security of cloud services increases and the efforts for the data security become essential. In this paper, we describe the pros and cons of cloud computing including the definition of cloud. Then, we discuss the regulations about the protection of user data defined in cloud promotion act. Previous studies related to the privacy protection and the entrustment of personal information in cloud computing are reviewed. We examine how to store the personal information depending on the cloud service model. As a result, we argue that the entrustment of personal information should vary according to the cloud service model and we propose how to protect the personal information on IaaS and SaaS cloud service models.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.201-209
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• 2021

The term, eGovernmen or e-Government, uses technology communications devices such as computers and the Internet to provide public services to citizens and others. The eGovernment or e-government provides citizens with new opportunities to access the government directly and conveniently, while the government provides citizens with directservices. Also, in these days, cloud computing is a feature that enables users to use computer system resources, especially data storage (cloud storage) and on-demand computing power, without having to manage themselves. The term is commonly used to describe data centers that are available to many users over the Internet. Today, the dominant Big Cloud is distributed across multiple central servers. You can designate it as an Edge server if it is relatively close to the user. However, despite the prevalence of e-government and cloud computing, each of these concepts has evolved. Research attempts to combine these two concepts were not being made properly. For this reason, in this work, we aim to produce independent and objective analysis results by separating progress steps for the analysis of e-government cloud service platforms. This work will be done through an analysis of the development process and architectural composition of the e-government development standard framework and the cloud platform PaaS-TA. In addition, this study is expected to derive implications from an analysis perspective on the direction and service composition of the e-government cloud service platform currently being pursued.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.201-219
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• 2014

This paper considers service deployment and priority optimization for multiple service-oriented applications sharing reusable services, which are deployed as multiple instances in the cloud. In order to handle variations in the workloads of the multiple applications, service instances of the individual reusable services are dynamically provisioned in the cloud. Also service priorities for each application in a particular reusable service are dynamically adjusted. In this paper, we propose an analytic performance model, based on a queueing network model, to predict the expected sojourn times of multiple service-oriented applications, given the number of service instances and priority disciplines in individual reusable services. We also propose a simple heuristic algorithm to search an optimal number of service instances in the cloud and service priority disciplines for each application in individual reusable services. A numerical example is also presented to demonstrate the applicability of the proposed performance model and algorithm to the proposed optimal decision problem.