• 전자통신동향분석
• /
• 제30권1호
• /
• pp.87-93
• /
• 2015

본고에서는 SDN(Software Defined Networking)/NFV(Network Function Virtualization)/Cloud 기술 현황 및 SDN/NFV/Cloud 표준화 현황을 바탕으로 통합적인 측면에서 SDN/NFV/Cloud 기술을 전망한다. SDN/NFV/Cloud는 응용/서비스에 따라 ICT 인프라가 제어 및 관리할 수 있게 하여 새로운 지식 기반 서비스 및 솔루션을 창출하는 핵심 기술임을 설명한다. SDN, NFV 및 Cloud 기술을 연계 분석하여 SDN/NFV/Cloud 개별 및 융합 기술 진화방향을 전망한다. 끝으로 SDN/NFV/Cloud 기술개발 가속화, 융합 기술 확산 및 효과에 대해서 예측한다.

• International Journal of Advanced Culture Technology
• /
• 제7권4호
• /
• pp.208-221
• /
• 2019

The inference for this research was concentrated on client's data protection in cloud computing i.e. data storages protection problems and how to limit unauthenticated access to info by developing access control model then accessible preparations were introduce after that an access control model was recommend. Cloud computing might refer as technology base on internet, having share, adaptable authority that might be utilized as organization by clients. Compositely cloud computing is software's and hardware's are conveying by internet as a service. It is a remarkable technology get well known because of minimal efforts, adaptability and versatility according to client's necessity. Regardless its prevalence large administration, propositions are reluctant to proceed onward cloud computing because of protection problems, particularly client's info protection. Management have communicated worries overs info protection as their classified and delicate info should be put away by specialist management at any areas all around. Several access models were accessible, yet those models do not satisfy the protection obligations as per services producers and cloud is always under assaults of hackers and data integrity, accessibility and protection were traded off. This research presented a model keep in aspect the requirement of services producers that upgrading the info protection in items of integrity, accessibility and security. The developed model helped the reluctant clients to effectively choosing to move on cloud while considerate the uncertainty related with cloud computing.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권2호
• /
• pp.826-845
• /
• 2017

Outsourcing computation is one of the most important applications in cloud computing, and it has a huge ability to satisfy the demand of data centers. Modular exponentiation computation, broadly used in the cryptographic protocols, has been recognized as one of the most time-consuming calculation operations in cryptosystems. Previously, modular exponentiations can be securely outsourced by using two untrusted cloud servers. In this paper, we present two practical and secure outsourcing modular exponentiations schemes that support only one untrusted cloud server. Explicitly, we make the base and the index blind by putting them into a matrix before send to the cloud server. Our schemes provide better performance in higher efficiency and flexible checkability which support single cloud server. Additionally, there exists another advantage of our schemes that the schemes are proved to be secure and effective without any cryptographic assumptions.

• 한국통신학회논문지
• /
• 제42권3호
• /
• pp.623-638
• /
• 2017

클라우드(Cloud) 기술이 적용되는 영역은 기술의 발전과 서비스의 다양화로 점차 확대되고 있다. 방송 플랫폼에도 투자 효율화, 운영 효율화, 서비스 경쟁력 확보 등의 측면에서 클라우드 기술이 도입되고 있다. 최근 국내에서는 클라우드 방송 플랫폼이 UI와 서비스에 도입되면서 서비스 경쟁이 가속화 되고 있다. 클라우드 방송 기술은 단말기의 자원과 소프트웨어 구조에 종속성 없이 서비스를 제공하고, 단말기 별로 분리되어 관리되고 있던 UI와 서비스를 서버기반으로 통합하여 운영될 수 있도록 한다. 논문에서는 클라우드 방송 플랫폼에 대해서 설명하고 적용 효과에 대해서 설명한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권1호
• /
• pp.86-109
• /
• 2019

Cloud computing systems' performance is still a central focus of research for determining optimal resource utilization. Running several existing benchmarks simultaneously serves to acquire performance information from specific cloud system resources. However, the complexity of monitoring the existing performance of computing systems is a challenge requiring an efficient and interactive user directing performance-monitoring system. In this paper, we propose an effective multivariate control framework for monitoring cloud systems performance. The proposed framework utilizes the hardware cloud systems performance metrics, collects and displays the performance measurements in terms of meaningful graphics, stores the graphical information in a database, and provides the data on-demand without requiring a third party software. We present performance metrics in terms of CPU usage, RAM availability, number of cloud active machines, and number of running processes on the selected machines that can be monitored at a high control level by either using a cloud service customer or a cloud service provider. The experimental results show that the proposed framework is reliable, scalable, precise, and thus outperforming its counterparts in the field of monitoring cloud performance.

• 반도체디스플레이기술학회지
• /
• 제20권2호
• /
• pp.121-125
• /
• 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.

• International Journal of Internet, Broadcasting and Communication
• /
• 제8권2호
• /
• pp.1-22
• /
• 2016

While many organizations believe that cloud computing has the potential to reduce operational cost by abstracting capital assets like data storage center and processing systems into a readily on demand available and affordable operating expenses, still many of these organizations are not aware of the factors determining the performance of cloud computing technology. This paper provides a systematic literature review focusing on the factors determining the performance of cloud computing. In trying to come up with this review, the following sources were searched for relevant articles: ScienceDirect, Scientific.Net, ACMDigital Library, IEEE Xplore, Springer, World Scientific Journal, Wiley Online Library, Academic Search Premier (via EBSCOHost) and EdITLib (Education & Information Technology Digital Library). In first search strategy, approximately 100 keywords related to the research domain like; "Cloud Computing" and "Cloud Services" were used. In second search strategy, 65 keywords more related to the research domain were selected. In the third search strategy, the primary materials were identified and classified according to the paper types (Journal or Conference), year of publication and so on. Based on this study, twenty (20) factors were found that determine the performance of cloud computing. The IT organization needs to consider these twenty (20) factors in order to adopt cloud computing.

• 한국정보시스템학회지:정보시스템연구
• /
• 제23권2호
• /
• pp.109-137
• /
• 2014

As the fast development of information technology (IT), abundant attractive alternatives have showed up and challenged to the traditional information technology (IT). Cloud services, the hottest representative among these alternatives, has attracted the attention from all walks of life. Considering the diversity of cloud services, this study attempts to find out the important factors affected on individual's switching intention from incumbent IT to cloud services mainly based on two-factor theory (switching enablers and switching inhibitors) and explore the direct influences of these factors on individual's switching intention. According to our findings, individual's switching intention to cloud services is not only positively influenced by switching enablers but also negatively influenced by switching inhibitors. All the switching enablers in this study (perceived omnipresence, perceived collaboration support and perceived compatibility of cloud services) have positively significant influences on individual's switching intention as well as the switching inhibitors (usage habit of incumbent IT and perceived risk of cloud services) have negatively significant influences on individual's switching intention. It's noteworthy that satisfaction of incumbent IT has insignificant influence on individual's switching intention in this study. Moreover, as we expected, both social influence and personal innovativeness have significant influences on the generation of individual's switching intention.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2015년도 춘계학술대회
• /
• pp.461-462
• /
• 2015

클라우드 컴퓨팅이라는 용어가 IT에서 중요한 화두로 부각된 지 오랜 시간이 흘렀다. 이에 세계적으로 클라우드 기술의 발전 및 시장의 규모가 커짐으로 다양한 분야에서 사용되고 있다. 본 연구에서는 해외 게임 개발에 사용된 클라우드 컴퓨팅 서비스의 특징을 도출하고자 한다. 본 연구는 클라우드 컴퓨팅에 관한 기존 문헌을 연구하여 현재 출시된 해외 클라우드 게임에 어떻게 적용되어 있는지 알아보았다. 본 연구는 클라우드 컴퓨팅 서비스를 이용하여 게임을 개발하고자 할 때 가이드라인이 될 것으로 기대된다.

• 한국컴퓨터정보학회논문지
• /
• 제23권12호
• /
• pp.81-87
• /
• 2018

Cloud computing is a computing environment in which users borrow as many IT resources as they need to, and use them over the network at any point in time. This is the concept of leasing and using as many IT resources as needed to lower IT resource usage costs and increase efficiency. Recently, cloud computing is emerging to provide stable service and volume of data along with major technological developments such as the Internet of Things, artificial intelligence and big data. However, for a more secure cloud environment, the importance of perimeter security such as shared resources and resulting secure data storage and access control is growing. This paper analyzes security threats in cloud computing environments and proposes a security architecture for effective response.