• Title/Summary/Keyword: Google Cloud Computing

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A Study on Project Performance in Cloud Computing : Focus on User Experience of GoogleDocs (클라우드 컴퓨팅 환경에서의 프로젝트 수행 성과에 관한 연구 : GoogleDocs 사용 경험을 중심으로)

  • Woo, Hyeok-Jun;Shim, Jeong-Hyun;Lee, Jung-Hoon
    • The Journal of Society for e-Business Studies
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    • v.16 no.1
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    • pp.71-100
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    • 2011
  • There are expectations about future internet technology with IT development by end-users. Cloud computing is attracted to satisfy those demands. However, adoption of cloud computing is not active that much. Therefore, this study verified how cloud computing environment affects performance of team project. We conducted empirical study on performance of team project with cloud computing as technology tool focusing on Task-Technology Fit Model. We collected samples that were undergraduate and graduate school students and had experience on initial cloud computing such as Google-Docs and Webhard when they conducted team project for assignment. We focused on accessibility and reliability as task-technology fit and those variables treated as first order factor. Result showed that cloud computing is suitable technology tool for team project. This study suggests positive effects of cloud computing for collaboration by proving perceived fit and performance in initial cloud computing.

A Study of Factors Affecting the Performance of Collaborative Cloud SaaS Services (과업특성 및 기술특성이 클라우드 SaaS를 통한 협업 성과에 미치는 영향에 관한 연구)

  • Shim, Sujin
    • Journal of Information Technology Services
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    • v.14 no.2
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    • pp.253-273
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    • 2015
  • Cloud computing is provided on demand service via the internet, allowing users to pay for the service they actually use. Categorized as one kind of cloud computing, SaaS is computing resource and software sharing model with can be accessed via the internet. Based on virtualization technology, SaaS is expected to improve the efficiency and quality of the IT service level and performance in company. Therefore this research limited cloud services to SaaS especially focused on collaborative application service, and attempts to identify the factors which impact the performance of collaboration and intention to use. This study adopts technological factors of cloud SaaS services and factors of task characteristics to explore the determinants of collaborative performance and intention to use. An experimental study using student subjects with Google Apps provided empirical validation for our proposed model. Based on 337 data collected from respondents, the major findings are following. First, the characteristics of cloud computing services such as collaboration support, service reliability, and ease of use have positive effects on perceived usefulness of collaborative application while accessability, service reliability, and ease to use have positive effects on intention to use. Second, task interdependence has a positive effects on collaborative performance while task ambiguity factor has not. Third, perceived usefulness of collaborative application have positive effects on intention to use.

An Exhaustive Review on Security Issues in Cloud Computing

  • Fatima, Shahin;Ahmad, Shish
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.3219-3237
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    • 2019
  • The Cloud Computing is growing rapidly in the current IT industry. Cloud computing has become a buzzword in relation to Grid & Utility computing. It provides on demand services to customers and customers will pay for what they get. Various "Cloud Service Provider" such as Microsoft Azure, Google Web Services etc. enables the users to access the cloud in cost effective manner. However, security, privacy and integrity of data is a major concern. In this paper various security challenges have been identified and the survey briefs the comprehensive overview of various security issues in cloud computing. The classification of security issues in cloud computing have been studied. In this paper we have discussed security challenges in cloud computing and also list recommended methods available for addressing them in the literature.

A Study of the Efficient Cloud Migration Technique and Process based on Open Source Software (오픈 소스 기반의 효율적인 클라우드 마이그레이션 절차에 관한 연구)

  • Park, In-Geun;Lee, Eun-Seok;Park, Jong-Kook;Kim, Jong-Bae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.280-283
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    • 2014
  • Cloud Computing virtualizes logical resources like cpu, memory and disks etcs from physical machines. This virtualization technology increases computing resource utilization and supports dynamic resource allocations. Because of these benefits, global cloud computing services like Amazon AWS, Google Cloud and Apple iCloud are prevalent. With this cloud Computing services, there has been a request about cloud migration between different cloud environments. If one service which operates in a cloud computing environment wants to migrate to another cloud environment, there should have been a compitability between two different cloud environment. but even global cloud computing services do not support this compitability. In this paper, we suggest a process and technology to cloud migrations based on open sources.

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Analysis of Cloud Service Providers

  • Lee, Yo-Seob
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.315-320
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    • 2021
  • Currently, cloud computing is being used as a technology that greatly changes the IT field. For many businesses, many cloud services are available in the form of custom, reliable, and cost-effective web applications. Most cloud service providers provide functions such as IoT, machine learning, AI services, blockchain, AR & VR, mobile services, and containers in addition to basic cloud services that support the scalability of processors, memory, and storage. In this paper, we will look at the most used cloud service providers and compare the services provided by the cloud service providers.

An Analysis of Google Cloud Data from a Digital Forensic Perspective (디지털 포렌식 관점에서의 구글 클라우드 데이터 분석 연구)

  • Kim, Dohyun;Kim, Junki;Lee, Sangjin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.12
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    • pp.1662-1669
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    • 2020
  • Google cloud includes data uploaded and synchronized by users, as well as synchronization history of all cloud services, users' smartphone usage, and location information. Therefore, Google cloud data can be useful for digital forensics from a user behavior analysis perspective. Through this paper, we have identified the types of cloud data that can be acquired using Google's Takeout service and developed a tool that can be usefully utilized in digital forensics research and investigation by screening and analyzing the data required for analyzing user behavior. Because Google cloud data is synchronized through Google accounts regardless of the type of computing device, Google service data used on various devices such as PCs, smartphones, and tablet PCs can be acquired through Google accounts without the device. Therefore, the results of this paper's research are expected to be very useful for digital forensics research and investigation in the current situation.

An Inquiry into the Use of Google Cloud Computing System in Elementary School (초등학교에서의 Google Cloud Computing System 활용 방안)

  • Kwon, Soon-Beom;Nam, Dong-Soo;Lee, Tae-Wuk
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2012.01a
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    • pp.123-126
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    • 2012
  • 본 논문에서는 최근 주목을 받고 있는 클라우드 컴퓨팅 시스템 중 구글 앱스를 초등학교 현장에 어떻게 활용할 수 있는지 그 방안에 대해 모색해 보았다. 구글 앱스는 구글의 다양한 클라우드 컴퓨팅 서비스 중 SaaS(Software as a Service)에 해당하는 것으로써 캘린더, 메일, 문서도구, 사진, 사이트 도구, 유튜브, 지도 등의 서비스를 제공하는 것이다. 구글 앱스에서는 구글의 동일한 아이디 하나로 모든 서비스에 로그인이 가능하며 웹상에서 작업한 내용은 모두 웹에 저장되므로 언제 어디서나 네트워크에 연결된 디바이스만 있다면 활용이 가능하다. 그 뿐 아니라, 스마트폰, 태블릿 PC가 확산되고 있고 가격이 낮아짐에 따라 학생들도 활용하게 된 지금, 구글 앱스는 모바일 디바이스에도 서비스를 최적화시켰기에 학생들의 접근성이 더욱 높다. 앞으로 온라인 교육 등도 포함되면 적어도 국내에서는 교육계에 파급력이 상당하리라 생각하며 교육분야에 본격적으로 클라우드 컴퓨팅이 도입되기를 기대한다.

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Requirements of Consistency Criteria for Cloud Computing Environments (클라우드 환경에서 응용에 따른 일관성 기준의 요구 사항)

  • Kim, Chi-Yeon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.732-735
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    • 2011
  • Cloud computing is a new paradigm that adopts a pay-as-you-go business model. So, clients can ues the various resources, although they have not own the resources. Already, three big players of IT industry, namely Amazon, Google and Microsoft, develop the many applications for cloud computing. In this paper, we describe the data consistency requirements for cloud computing. Data characteristics of cloud computing is replicated, distributed and large-scaled. And consistency and availability of data cannot be satisfied simultaneously. In this paper, we categorized the applications of cloud computing, and describe requirements of consistency criteria for applications. With this result, we can make the base of consistency criteria that can be adapted for cloud computing, in the near future.

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Digital Forensics Framework for Cloud Computing (클라우드 환경을 고려한 디지털 포렌식 프레임워크)

  • Lee, Chang-Hoon
    • Journal of Advanced Navigation Technology
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    • v.17 no.1
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    • pp.63-68
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    • 2013
  • Recently, companies seek a way to overcome their financial crisis by reducing costs in the field of IT. In such a circumstance, cloud computing is rapidly emerging as an optimal solution to the crisis. Even in a digital forensic investigation, whether users of an investigated system have used a cloud service is a very important factor in selecting additional investigated subjects. When a user has used cloud services, such as Daum Cloud and Google Docs, it is possible to connect to the could service from a remote place by acquiring the user's log-in information. In such a case, evidence data should be collected from the remote place for an efficient digital forensic investigation, and it is needed to conduct research on the collection and analysis of data from various kinds of cloud services. Thus, this study suggested a digital forensic framework considering cloud environments by investigating collection and analysis techniques for each cloud service.

Cloud Computing Industry Trends for Artificial Intelligence (인공지능을 위한 클라우드 컴퓨팅 산업 동향)

  • Choi, J.R.;Song, Y.M.;Kim, C.H.;Kim, S.J.
    • Electronics and Telecommunications Trends
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    • v.32 no.5
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    • pp.107-116
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    • 2017
  • Artificial intelligence has recently been regarded as a key engine of future industry, and cloud computing and big data technologies have begun to receive significant attention. Major global vendors such as IBM, Microsoft, Google, and Amazon have been launching cloud-computing services for artificial intelligence. On the other hand, the situation domestically is now at an early stage. This report describes the industry trends both domestically and internationally regarding cloud computing for artificial intelligence. We also describe to significance of cloud computing ecosystem and data competitiveness for artificial intelligence.