• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.290-296
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• 2022

Big Data is a data analysis technology empowered by late advances in innovations and engineering. In any case, big data involves a colossal responsibility of equipment and handling assets, making reception expenses of big data innovation restrictive to little and medium estimated organizations. Cloud computing offers the guarantee of big data execution to little and medium measured organizations. Big Data preparing is performed through a programming worldview known as MapReduce. Normally, execution of the MapReduce worldview requires organized joined stockpiling and equal preparing. The computing needs of MapReduce writing computer programs are frequently past what little and medium measured business can submit. Cloud computing is on-request network admittance to computing assets, given by an external element. Normal arrangement models for cloud computing incorporate platform as a service (PaaS), software as a service (SaaS), framework as a service (IaaS), and equipment as a service (HaaS).

• Journal of Information Processing Systems
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• 제9권3호
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• pp.379-394
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• 2013

Cloud computing is an evolving computing paradigm that has influenced every other entity in the globalized industry, whether it is in the public sector or the private sector. Considering the growing importance of cloud, finding new ways to improve cloud services is an area of concern and research focus. The limitation of the available Virtual Machine Load balancing policies for cloud is that they do not save the state of the previous allocation of a virtual machine to a request from a Userbase and the algorithm requires execution each time a new request for Virtual Machine allocation is received from the Userbase. This problem can be resolved by developing an efficient virtual machine load balancing algorithm for the cloud and by doing a comparative analysis of the proposed algorithm with the existing algorithms.

• 한국IT서비스학회지
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• 제17권3호
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• pp.37-51
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• 2018

Recently, cloud computing market is growing geometrically in both private and public area, and many global companies in various domains have developed and provided cloud computing services. In such situation, Korean government made multiple plans for domestic cloud computing industry. However, most research institutes have focused on market size and status information, which makes actual effectiveness of cloud computing service hard to recognize. In this study, we define cloud computing Industry by rearranging Input-Output table published by the Bank of Korea to use Input-Output Analysis. The Input-Output Analysis was devised in 1963 by Leontief and it is used in many fields of study until now. It produces various coefficients that are able to identify production-inducing effect, value-added effect, labor-inducing effect, front and rear chain effect. The analysis results show that production-inducing effect, front and rear chain effect of cloud computing industry is low compared to other industries. However, cloud computing Industry possesses relatively high value-added effect and labor-inducing effect. It is because industry magnitude of cloud computing is smaller than other industries such as manufacturing, chemical industries. The economic effects of the cloud computing industry are not remarkable, but this result is significant to emerging markets and industries and presents the fresh way of analyzing cloud computing research field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권1호
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• pp.18-38
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• 2017

Infrastructure-as-a-Service (IaaS) clouds provide infrastructure as a pool of virtual resources, and the public IaaS clouds, e.g. Amazon Web Service (AWS) and private IaaS cloud toolkits, e.g. OpenStack, CloudStack, etc. provide their own application programming interfaces (APIs) for managing the cloud resources they offer. The heterogeneity of the APIs, however, makes it difficult to access and use the multiple cloud services concurrently and collectively. In this paper, we explore previous efforts to solve this problem and present our own implementation of an integrated cloud API, which can make it possible to access and use multiple clouds collectively in a uniform way. The implemented API provides a RESTful access and hides underlying cloud infrastructures from users or applications. We show the implementation details of the integrated API and performance evaluation of it comparing the proprietary APIs based on our cloud testbed. From the evaluation results, we could conclude that the overhead imposed by our interface is negligibly small and can be successfully used for multi-cloud access.

• Journal of Information Technology Applications and Management
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• 제24권1호
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• pp.81-91
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• 2017

In Korea, "Act on the Development of Cloud Computing and Protection of its Users" has been enforced since September 28, 2015. Many countries implemented 'Cloud First' policies and global companies such as Amazon, Microsoft, IBM started cloud services in Korea. Under these circumstance, the Act was established for developing the cloud computing industry. The Act includes clauses for encouraging the use of private cloud computing by public organizations, supporting small- and medium-size cloud service providers, and utilizing secure cloud computing services by users. However, some terms appear to be similar but have different meanings from "Act on Promotion of Information and Communications Network Utilization and Information Protection, etc." and "Personal Information Protection Act". This generated some confusion and conflicts in relation to providing user information to a 3rd party and notifying the intrusion in the Cloud Computing Act. This paper discusses these issues and suggestions for revision of the Cloud Computing Act.

• 문화기술의 융합
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• 제8권5호
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• pp.729-734
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• 2022

건설업의 사고원인 파악을 위해 사고사례를 이용한 다양한 연구가 진행되고 있지만, 공공 및 민간공사의 차이점에 대한 연구는 미미한 실정이다. 본 연구에서는 발주 유형별 사고원인 분석을 위해 웹 스크래핑과 텍스트 마이닝 기술을 적용하였다. 수집된 10,000건 이상의 정형 및 비정형 데이터에 대한 통계분석과 워드클라우드 분석을 통해 공공 및 민간공사의 사고유형과 사고원인에 대한 차이가 확인되었다. 또한, 주요 사고원인들의 상관관계를 파악함으로써 향후 안전관리 대책 수립에 기여할 수 있다.

• 디지털융복합연구
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• 제11권3호
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• pp.59-71
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• 2013

클라우드 서비스(아마존 웹서비스 등)를 활용하여 글로벌 경쟁력을 갖춘 중소업체의 온라인 서비스(예. Zynga, 파프리카랩)가 등장하거나 금융시장 분석서비스가 클라우드를 활용하는 등 클라우드의 활용도가 높아지고 있으나, 국내 중소기업의 클라우드 이용은 아직 낮은 수준에 머물고 있다. 특히, PaaS(플랫폼 클라우드)가 성장하면서 모듈화된 인터넷 도구를 손쉽게 활용하여 비즈니스를 개발하는 행태가 증가할 것으로 전망되는 만큼, 국내기업의 IT부문 경쟁력 제고를 위하여 국내외 도입 성공사례를 연구하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 추계학술대회
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• pp.488-491
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• 2014

Based on a complete understanding research in Information and Communication Technologies (ICT), the Intelligent Transport Systems rapidly build up innovative applications to ensure real time attainment as well remote management of driven information, provide a huge range of services and involve many actors in automotive ecosystem. In this paper, we present an intelligent cloud computing for handling data received from traffic sensing technologies. Transportations technologies applied in ITS have played a great role in collecting data from devices deployed in vehicles and highway infrastructures utilizing broadband wireless technologies to the Cloud. In order to facilitate the interested in automotive industry to use data collected and afford services to the car's owner, a scalable acquisition, access to computing resources and offered services are the primary goal of the proposed cloud computing.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1523-1545
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• 2019

Cloud computing is now a widespread and economical option when data owners need to outsource or share their data. Designing secure and efficient data access control mechanism is one of the most challenging issues in cloud storage service. Anonymous broadcast encryption is a promising solution for its advantages in the respects of computation cost and communication overload. We bring forward an efficient anonymous identity-based broadcast encryption construction combined its application to the data access control mechanism in cloud storage service. The lengths for public parameters, user private key and ciphertext in the proposed scheme are all constant. Compared with the existing schemes, in terms of encrypting and decrypting computation cost, the construction of our scheme is more efficient. Furthermore, the proposed scheme is proved to achieve adaptive security against chosen-ciphertext attack adversaries in the standard model. Therefore, the proposed scheme is feasible for the system of data access control in cloud storage service.

• 융합보안논문지
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• 제17권3호
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• pp.15-20
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• 2017

클라우드 컴퓨팅은 인터넷이 가능한 환경에서 다양한 단말을 통해 IT 자원(소프트웨어, 스토리지, 서버, 네트워크)을 이용할 수 있는 서비스이다. 편리성과 효율성, 비용 절감의 이유로 최근 이용률이 급증하였다. 하지만 정보의 집중화로 인해 범죄의 표적이 되거나 클라우드 서비스를 악용하는 범죄가 발생하였다. 기존 디지털 포렌식 절차는 개인 단말기를 대상으로 하는 수사에 적합하다. 본 논문은 기존 디지털 포렌식 수사 절차로 클라우드 환경을 조사할 경우 발생하는 취약점들을 분석하여 새로운 수사 모델을 제안하였다. 제안된 수사 모델은 계정정보를 획득할 수 있는 방법을 추가하였으며, 공공 클라우드와 사설클라우드를 아울러 적용할 수 있다. 또한, 클라우드 서비스는 쉽게 접근이 가능하여 디지털 증거 인멸 가능성이 높기에 계정 접근 차단 단계를 추가함으로써 수사 모델을 보강하였다.