• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권4호
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• pp.1820-1840
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• 2017

Aiming at the phenomenon of false information issued by service providers in cloud computing environment, a method for service evaluation based on fuzzy theory is put forward in this paper. According to the quality of services provided by cloud service providers and their behavior during interactions, a trust relationship between cloud service providers and cloud service consumers is established, which can be quantified by using fuzzy theory. The quality of services is evaluated by drawing on the trust relationship. In our method, the recommendation credibility of a cloud service consumer is determined through behavior similarity with evaluators and a praise factor. The introduction of the praise factor better suits the phenomenon of a high-quality service getting more repeat customers. The negative impact of dishonest customers is reduced, and the accuracy of trust and cloud service quality evaluation is improved by introducing a confidence factor that can be dynamically adjusted. The experimental results show that our method can effectively and accurately evaluate the trust value and service quality of providers, while weakening the influence of dishonest consumers, and quickly detect dishonest service providers. This is beneficial for consumers trying to find high quality service providers for similar services.

• Journal of Information Processing Systems
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• 제16권6호
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• pp.1281-1292
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• 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.

• 소프트웨어공학소사이어티 논문지
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• 제27권1호
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• pp.8-14
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• 2018

클라우드 컴퓨팅이 IT 업계의 화두로 부상하면서 다양한 유형의 클라우드 서비스들이 나타났고, 다수의 클라우드 서비스들 중 사용자가 원하는 서비스를 선택하는 과정의 복잡성을 해소하기 위해 클라우드 서비스 브로커 기술이 (Cloud Service Broker, CSB)등장하였다. CSB의 핵심적인 기능 중 하나는 사용자에게 최적의 클라우드 서비스를 추천해주는 것이다. 일반적으로 CSB에서 클라우드 서비스 추천을 위해 서비스 사용자들로부터 서비스에 대한 평점을 피드백으로 받아 서비스를 평가하는 방법을 사용할 수 있다. 그러나 사용자마다 평점을 매기는 기준이 다양하므로 평점만으로 서비스를 평가하기에는 신뢰도가 떨어진다는 문제점이 존재한다. 본 논문에서는 클라우드 서비스 사용자의 리뷰에 기계 학습 기반의 감정 분석(Sentiment Analysis) 기법을 적용하여 평점 기반 서비스 평가를 보완하는 방법과 이를 적용하여 구현한 CSB의 프로토타입을 제시한다. 또한 실제 클라우드 서비스 리뷰를 학습 데이터로 사용한 실험을 통해 감정분석에 사용될 수 있는 여러 학습 알고리즘의 성능을 비교한 결과를 제시한다. 본 논문에서 제안하는 서비스 평가 기법은 기존의 평점 기반 서비스 평가의 단점을 보완하며 사용자 경험 측면의 서비스 품질을 반영할 수 있다.

• 한국IT서비스학회지
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• 제11권2호
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• pp.107-118
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• 2012

Recently, as the clouding computing begins to receive a great attention from people all over the world, it became the most popular buzz word in recent IT magazines or journal and heard it in many different services or different fields. However, a notion of the cloud service is defined vaguely compared to increasing attentions from others. Generally the cloud service could be understood as a specific service model base on the clouding computing, but the cloud, the cloud computing, the cloud computing service and cloud service, these four all terms are often used without any distinction of its notions and characteristics so that it's difficult to define the exact nature of the cloud service. To explore and analyze the cloud service systematically, an accurate conception and scope have to be preceded. Therefore this study is to firstly clarify its definition by Delpi method using expert group and then tries to provide the foundation needed to enable relative research such as establishing business model or value chain and policies for its activation to set off. For the Delpi, 16 experts participated in several surveys from different fields such industry, academy and research sector. As a result of the research, Characteristics of the Cloud Service are followings : Pay per use, Scalability, Internet centric Virtualization. And the scope as defined including Grid Computing, Utility Computing, Server Based Computing, Network Computing.

• 반도체디스플레이기술학회지
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• 제21권3호
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• pp.69-73
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• 2022

The application of cloud computing to many industrial domains is rapidly increasing, and domestic and foreign cloud service providers are actively conducting business. In the domestic cloud market, it is necessary to establish an ecosystem with partner operators that work closely with private cloud service providers. In this paper, to create such an environment, we propose a framework that can evaluate the capabilities of partners required for cloud service providers to establish specific business strategies. The framework proposed in this study establishes criteria for evaluating partners' competencies and applies a decision-making model such as fuzzy AHP for evaluation. Eventually this will help not only to expand the domestic cloud market but also to strengthen the competitiveness of domestic cloud partners through the growth of the domestic cloud market.

• 정보보호학회논문지
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• 제23권2호
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• pp.251-265
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• 2013

IT자원을 공유하여 서비스 형태로 제공하는 클라우드 컴퓨팅은 정보보호 이슈가 해결되지 않으면 활성화될 수 없다. 기업은 클라우드 컴퓨팅 서비스를 도입하여 정보통신 자원의 효율성을 극대화하고자 한다. 하지만 미국, 일본 등에 비해 국내에서 클라우드 컴퓨팅 서비스가 아직 활성화되지 못한 가장 큰 이유는 정보보호에 대한 신뢰가 부족하기 때문이다. 본 논문은 국내 외 클라우드 인증제도 및 가이드라인과 정보보호 관리체계 통제 항목을 비교 분석하여 한국형 클라우드를 위한 핵심 평가 기준 및 기존 정보보호 관리체계 통제 항목과의 중복성을 제거한 추가적인 평가 기준을 제안한다. 정보보호 관리체계 인증을 받은 클라우드 서비스 제공자는 추가 평가 기준만으로 중복되고 불필요한 인증 평가 작업을 최소화할 수 있다.

• 한국항행학회논문지
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• 제15권6호
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• pp.1098-1103
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• 2011

클라우드 컴퓨팅의 장점에도 불구하고 보안성에 대한 문제들이 많은 사용자들의 선택에 장애가 되고 있다. 본 논문에서는 클라우드 컴퓨팅의 보안성에 대한 ISO 7498-2 표준의 관련 속성들이 전체 보안 품질에 미치는 상대적 영향도를 평가하였다. 많은 요인들의 영향도를 객관적으로 평가하기 위하여 Fuzzy AHP(Analytic hierarchical process)를 적용하였다. 본 연구는 클라우드 컴퓨팅 서비스의 보안 관련 각 속성들의 상대적 중요성을 구체적으로 수치화 할 수 있었고, 클라우드 컴퓨팅 서비스의 효율적인 선택 및 개발에 필요한 관리 방법을 제시할 수 있었다.

• 한국정보시스템학회지:정보시스템연구
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• 제25권4호
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• pp.37-61
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• 2016

Purpose This study examines firms at various industries to identify key organizational characteristics that positively drive the evaluation of cloud computing. In addition, this study tests the impact of one's evaluation has on the adoption and integration of cloud computing within their respective firm. Design/methodology/approach A total of 172 responses from various firms currently using cloud computing service were analyzed using the structural equation modeling(SEM). Findings Results show that organizational Needs(Mobility and Job Relevance), Perceived Factors(Relative Advantages and Cost Savings), and Organizational Readiness(Technical Knowledge, Financial Supports, and Managerial Supports) have a significant impact on cloud computing evaluation; and evaluation influences its adoption, and integration. However, two variables(IT Performance Gaps and Compatibility) have no significant impact on cloud computing evaluation. Finally, Evolutional Leadership has a significant moderating effect within the relationship among variables in the process of cloud computing implementation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권12호
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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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4197-4219
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• 2017

Cloud computing is a new service to provide dynamic, scalable virtual resource services via the Internet. Cloud market is available to multiple cloud computing resource providers and users communicate with each other and participate in market transactions. However, since cloud computing is facing with more and more security issues, how to complete the allocation process effectively and securely become a problem urgently to be solved. In this paper, we firstly analyze the cloud resource allocation problem and propose a mathematic model based on combinatorial double auction. Secondly, we introduce a trust evaluation mechanism into our model and combine genetic algorithm with simulated annealing algorithm to increase the efficiency and security of cloud service. Finally, by doing the overall simulation, we prove that our model is highly effective in the allocation of cloud resources.