• Title/Summary/Keyword: Google Cloud Computing

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Design and Implementation of File Cloud Server by Using JAVA SDK (Java SDK를 이용한 파일 클라우드 시스템의 설계 및 구현)

  • Lee, Samuel Sangkon
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.8 no.2
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    • pp.86-100
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    • 2015
  • Cloud computing is a computing term that evolved in the late 2000s, based on utility and consumption of computer resources. Google say that "Cloud computing involves deploying groups of remote servers and software networks that allow different kinds of data sources be uploaded for real time processing to generate computing results without the need to store processed data on the cloud. Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. Cloud computing, or in simpler shorthand just "the cloud", also focuses on maximizing the effectiveness of the shared resources." The cloud service is a smart and/or intelligent service to save private files in any device, anytime, anywhere. Dropbox, OAuth, PAClous are required that the accumulated user's data are archives with cloud service. Currently we suggest an implementation technique to process many tasks to the cloud server with a thread pooling. Thread pooling is one of efficient implementating technique for client and service environment. In this paper, to present the implementation technique we suggest three diagrams in the consideration of software engineering.

Research of Water-related Disaster Monitoring Using Satellite Bigdata Based on Google Earth Engine Cloud Computing Platform (구글어스엔진 클라우드 컴퓨팅 플랫폼 기반 위성 빅데이터를 활용한 수재해 모니터링 연구)

  • Park, Jongsoo;Kang, Ki-mook
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1761-1775
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    • 2022
  • Due to unpredictable climate change, the frequency of occurrence of water-related disasters and the scale of damage are also continuously increasing. In terms of disaster management, it is essential to identify the damaged area in a wide area and monitor for mid-term and long-term forecasting. In the field of water disasters, research on remote sensing technology using Synthetic Aperture Radar (SAR) satellite images for wide-area monitoring is being actively conducted. Time-series analysis for monitoring requires a complex preprocessing process that collects a large amount of images and considers the noisy radar characteristics, and for this, a considerable amount of time is required. With the recent development of cloud computing technology, many platforms capable of performing spatiotemporal analysis using satellite big data have been proposed. Google Earth Engine (GEE)is a representative platform that provides about 600 satellite data for free and enables semi real time space time analysis based on the analysis preparation data of satellite images. Therefore, in this study, immediate water disaster damage detection and mid to long term time series observation studies were conducted using GEE. Through the Otsu technique, which is mainly used for change detection, changes in river width and flood area due to river flooding were confirmed, centered on the torrential rains that occurred in 2020. In addition, in terms of disaster management, the change trend of the time series waterbody from 2018 to 2022 was confirmed. The short processing time through javascript based coding, and the strength of spatiotemporal analysis and result expression, are expected to enable use in the field of water disasters. In addition, it is expected that the field of application will be expanded through connection with various satellite bigdata in the future.

A Study on the Technology Acceptance Factors of the Public Cloud Computing Services (공공 클라우드 컴퓨팅 서비스의 기술수용 결정요인 연구)

  • Kim, Dae Ho;Kim, Tae Hyung
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.8 no.2
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    • pp.93-106
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    • 2013
  • Cloud computing services have became an hot issues in business fields while the IT-related global company such as Amazon, MS, and Google took part in. The cloud computing makes it possible to share in the form of outsourcing of hardware and software through the Internet, to build a distributed computing environment via multiple terminals, and to reduce the cost using open source. Such a cloud computing services have not shown any significant growth in Korea yet compared to other countries. Therefore, in this study focusing on public cloud computing services, it is intended to analyze the determinants of public cloud computing services using the technology model. Thus, for users using public cloud services, we conducted a questionnaire survey from the beginning of January 2013 to the end of February 2013. And we derived a research model based on the Technology Acceptance Model(TAM). As a result of this study, it shows that personal aspects significantly impacts on the perceived usability, service aspects, systems aspects, and the intent of the technology acceptances. System aspects significantly effect on the intent of technology acceptances. Perceived usability significantly effects on the service aspects and the systems aspects. The main factors effecting on the intent of the technology acceptances are system aspects and perceived usability in order. And it shows that the personal aspects decreases the intent of the technology acceptances.

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Classification Model for Cloud-based Public Service (클라우드 기반의 공공 서비스 유형 분류 모델)

  • Ra, Jong-Hei;Lee, Ji-Yeon;Shin, Sun-Young;Kim, Jeong-Yeop;Choi, Young-Jin
    • Journal of Information Technology and Architecture
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    • v.10 no.4
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    • pp.509-516
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    • 2013
  • Cloud services are recognized the essential IT infrastructure in the optimal smart society which is changing rapidly as a low-cost and high-efficiency. This service of starting from prominent overseas companies such as Google, Amazon, had influenced on the introduction of the service for the various policies of foreign governments, including the United States and the United Kingdom. Such countries adopting to the cloud computing and make transform to the cloud service of existing public service for the effective management of information resources. In this study, we have proposed the main determining factors of cloud adoption, the model of cloud governance for the adoption of public cloud service.

Cloud Security Technology and Vulnerability Assessment (클라우드 보안 기술과 취약점 분석)

  • Kim, A-Yong;Lee, Sung-Ock;Ryu, Seung-Han;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.690-692
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    • 2013
  • Cloud computing is an Internet-based technology, one of the Big Data era aspiring technology. Bring on the internet whenever you need to use multiple physical servers into one virtual server, cloud Cloud technology and large companies, such as leading U.S. IT company, Amazon, IBM, Google, Microsoft and the domestic firm Samsung, SK, KT, NHN the cloud market at home and abroad, and commercialization by investing in the future to continue to grow. The main reason for the introduction of the cloud and reduced operating costs, and to see the most problems is the leakage of personal information. In this paper, we propose a method to improve the security and vulnerability analysis of security technologies and cloud.

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A Study on Adopting Model for Cloud-based public service (클라우드 기반의 공공서비스 도입체계에 관한 연구)

  • Song, Suck-Hyun;Kim, Jeong-Yeop;Ra, Jong-Hei;Lee, Jaiyong
    • Journal of Digital Convergence
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    • v.11 no.5
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    • pp.63-72
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    • 2013
  • Cloud services is recognized the essential IT infrastructure in the optimal smart society which is changing rapidly as a low-cost and high-efficiency. This service of starting from prominent overseas companies such as Google, Amazon, had influenced on the introduction of the service for the various policies of foreign governments, including the United States and the United Kingdom. Such countries adopt to the cloud computing and make transform to the cloud service of existing public service for the effective management of information resources. In this study, we propose a model for adoption of appropriate cloud-based public services in Korea through analyzing the foreign government case of adoption of cloud services.

A Study on Factors Affecting the intention to switch for using cloud computing: A Case for Google docs (클라우드 컴퓨팅으로의 사용전환 결정요인에 관한 연구 - 구글 DOCS 사례를 중심으로)

  • Park, Sang-Cheoul;Kwon, Soon-Jae
    • 한국IT서비스학회:학술대회논문집
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    • 2010.05a
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    • pp.481-490
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    • 2010
  • 최근에 사용자가 필요한 만큼의 하드웨어 또는 소프트웨어를 유틸리티 서비스(utility service) 형태로 제공 받을 수 있는 클라우드 컴퓨팅 시대가 대두되었다. 이에 본 연구에서는 첫째, 사용자 입장에서 본 연구에서 도출한 클라우드 컴퓨팅 서비스의 성공요인이 해당서비스로의 전환에 영향을 주는가? 둘째, 혁신확산관점에서 클라우드 컴퓨팅 전환의도에 영향을 미치는 요인은 무엇인가? 두 가지의 연구주제를 실증하였다. 실증분석결과 본 연구에서 제시한 모든 가설이 지지되었다.

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cMac : A Context-aware Mobile Apps-on-a-Cloud Architecture Empowering smart devices by leveraging Platform as a Service (PaaS) (클라우드 아키텍처 기반 상황인지 모바일 애플리케이션)

  • Amin, Muhammad Bilal;Lee, Sung-Young;Lee, Young-Koo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.40-42
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    • 2011
  • Smart hand-held devices like iPhone, iPad, Andriod and other mobile-OS machines are becoming a well known part of our daily lives. Utilization of these devices has gone beyond the expectations of their inventors. Evolution of Apple's iOS from a mobile phone Operating System to a wholesome platform for Portable Gaming is an adequate proof. Using these smart devices people are downloading applications from numerous online App Stores. Utilizing remote storage facilities and confining themselves to computing power far below than an entry level laptop, netbooks have emerged. Google's idea of Chrome OS coupled with Google's AppEngine is an eye-opener for researchers and developers. Keeping all these industry-proven innovations in mind we are proposing a Context-Driven Cloud-Oriented Application Architecture for smart devices. This architecture enables our smart devices to behave smarter by utilizing very less of local resources.

Trend analysis of Open Source Technologies for Cloud Storage Infrastructure (클라우드 스토리지 인프라 구축을 위한 오픈 소스 기술 동향)

  • Bae, Yu-Mi;Jung, Sung-Jae;Bae, Jung-Min;Park, Jeong-Su;Sung, Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.263-266
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    • 2013
  • The universal cloud computing environment, the increase of mobile devices, and the emergence of various web-based services require large amounts of storage space. With the widespread use of Web-based storage services, such as Google Drive, Naver Ndrive, Daum Cloud, there is a need for more storage space. Therefore, storage areas can be provided according to the needs of users of virtualized storage resources through a network, and a large, easy to extend, and royalty in a specific geographical location, cloud storage may be the limelight. In this paper, find out about the features of open source software technology, Hadoop, Swift, GlusterFS for Cloud Storage infrastructure.

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A Study on Individual User's Preference for Cloud Storage Service (클라우드 스토리지 서비스에 대한 개인 사용자의 선호 요인 연구)

  • Lee, Sewon;Hong, Ahreum;Hwang, Junseok
    • Journal of Technology Innovation
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    • v.23 no.1
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    • pp.1-36
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    • 2015
  • The purpose of this research is to find individual user's preference for cloud storage service such as Daum Cloud, Naver N-Drive, GoogleDrive, Dropbox, SkyDrive and iCloud. Through literature reviewed and pilot tests, 6 attributes of cloud storage service (storage capacity, perceived cost, collaboration, accessibility, social influence and perceived security) were selected and all 6 attributes had significant effects on the preference of cloud storage service by conjoint analysis. The results shows that the user's willingness to pay is estimated 10,553 won for the free storage, 4,646 won for the function for mobile accessibility, and 2,443 won for more reliable cloud computing service provider. This study has significance to apply conjoint analysis with economic, technological, and environmental factors to cloud storage service (SaaS) and shed light on policy promotion of next generation of cloud computing ecosystem by user perception with willingness to pay on the storage service.