• Title/Summary/Keyword: Cloud Interface

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Improved Tag Selection for Tag-cloud using the Dynamic Characteristics of Tag Co-occurrence (태그 동시 출현의 동적인 특징을 이용한 개선된 태그 클라우드의 태그 선택 방법)

  • Kim, Du-Nam;Lee, Kang-Pyo;Kim, Hyoung-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.6
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    • pp.405-413
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    • 2009
  • Tagging system is the system that allows internet users to assign new meta-data which is called tag to article, photo, video and etc. for facilitating searching and browsing of web contents. Tag cloud, a visual interface is widely used for browsing tag space. Tag cloud selects the tags with the highest frequency and presents them alphabetically with font size reflecting their popularity. However the conventional tag selection method includes known weaknesses. So, we propose a novel tag selection method Freshness, which helps to find fresh web contents. Freshness is the mean value of Kullback-Leibler divergences between each consecutive change of tag co-occurrence probability distribution. We collected tag data from three web sites, Allblog, Eolin and Technorati and constructed the system, 'Fresh Tag Cloud' which collects tag data and creates our tag cloud. Comparing the experimental results between Fresh Tag Cloud and the conventional one with data from Allblog, our one shows 87.5% less overlapping average, which means Fresh Tag Cloud outperforms the conventional tag cloud.

CO STUDY OF THE H II REGION SHARPLESS 301

  • JUNG JAE HOON;LEE JUNG-Kyu;YOON TAE SEOG;KANG YONG HEE
    • Journal of The Korean Astronomical Society
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    • v.34 no.3
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    • pp.157-166
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    • 2001
  • The molecular cloud associated with the H II region S301 has been mapped in the J = 1-0 transitions of $^{12}CO$ and $^{13}CO$ using the 13.7 m radio telescope of Taeduk Radio Astronomy Observatory. The cloud is elongated along the north-south direction with two strong emission components facing the H II region. Its total mass is $8.7 {\times} 10^3 M{\bigodot}$. We find a velocity gradient of the molecular gas near the interface with the optical H II region, which may be a signature of interaction between the molecular cloud and the H II region. Spectra of CO, CS, and HCO+ exhibit line splitting even in the densest part of the cloud and suggests the clumpy structure. The radio continuum maps show that the ionzed gas is distributed with some asymmetry and the eastern part of the H II region is obscured by the molecular cloud. We propose that the S301 H II region is at the late stage of the champagne phase, but the second generation of stars has not yet been formed in the postshock layer.

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Design and Implementation of a Virtual Computer Lab System using Cloud Computing (클라우드 컴퓨팅을 이용한 가상 컴퓨터 교육 시스템 설계 및 구현)

  • Lee, Bong-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.9
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    • pp.1910-1917
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    • 2011
  • In this paper, a cloud computing platform is designed and implemented based on an open source cloud platform, OpenNebula, and Xen hypervisor on each node for efficient computer lab system. For the purpose of convenient management, a web-based user interface has been developed for the cloud virtualization system. Once individual virtual machine is allocated to a user based upon class schedule, each user can access the virtual machine remotely and use appropriate operating system and application programs. The developed system can reduce computer lab upgrade cost, management cost, and administration time considerably.

An Empirical Study on the Influence Factors of the Mobile Cloud Storage Service Satisfaction (모바일 클라우드 스토리지 서비스 이용만족에 영향을 미치는 요인에 관한 실증연구)

  • Choi, Kwangdoo;Cho, Insu;Park, Heejun;Lee, Kiwon;Kang, Junmo
    • Journal of Korean Society for Quality Management
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    • v.41 no.3
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    • pp.381-394
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    • 2013
  • Purpose: Nowadays, Mobile Cloud Storage services are used widely. For sustainable use of this service, we need to determine what factors affect satisfaction. Therefore, the purpose of this study is to identify the factors that influence satisfaction. Methods: To analyze factors that influence satisfaction, this study sets the factors into three dimensions such as service quality, perceived risk, and individual characteristics and analyze the causal relationship between influence factors and satisfaction through Structural Equation Model. Results: The results of this study are as follows; among service quality, user interface and reliability influenced satisfaction, but adaptability did not have any influence. Perceived risk of illegal access had a negative influence on satisfaction, while perceived risk of privacy leakage did not have significant influence on satisfaction in perceived risk. At last, self-efficacy had a significant influence on satisfaction. Conclusion: We identified the influence factors that influence satisfaction. Our findings will be necessary for Mobile Cloud Storage service providers to strengthen their service.

Development of CAE Service Platform Based on Cloud Computing Concept (클라우드 컴퓨팅기반 CAE서비스 플랫폼 개발)

  • Cho, Sang-Hyun
    • Journal of Korea Foundry Society
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    • v.31 no.4
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    • pp.218-223
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    • 2011
  • Computer Aided Engineering (CAE) is very helpful field for every manufacturing industry including foundry. It covers CAD, CAM, and simulation technology also, and becomes as common sense in developing new products and processes. In South Korea, more than 600 foundries exist, and their average employee number is less than 40. Moreover, average age of them becomes higher. To break out these situations of foundry, software tools can be effective, and many commercial software tools had already been introduced. But their high costs and risks of investment act as difficulties in introducing the software tools to SMEs (Small and Medium size Enterprise). So we had developed cloud computing platform to propagate the CAE technologies to foundries. It includes HPC (High Performance Computing), platforms and software. So that users can try, enjoy, and utilize CAE software at cyber space without any investment. In addition, we also developed platform APIs (Application Programming Interface) to import not only our own CAE codes but also 3rd-party's packages to our cloud-computing platforms. As a result, CAE developers can upload their products on cloud platforms and distribute them through internet.

Performance Analysis of Cloud-Backed File Systems with Various Object Sizes (클라우드 기반 파일 시스템의 오브젝트 크기별 성능 분석)

  • Kim, Jiwon;Lee, Kyungjun;Ryu, Sungtae;Han, wansoo
    • Journal of KIISE
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    • v.43 no.7
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    • pp.744-750
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    • 2016
  • Recent cloud infrastructures provide competitive performances and operation costs for many internet services through pay-per-use model. Particularly, object storages are highlighted, as they have unlimited file holding capacity and allow users to access the stored files anytime and anywhere. Several lines of research are based on cloud-backed file systems, which support traditional POSIX interface rather than RESTful APIs via HTTP. However, these existing file systems handle all files with uniform size backing objects. Consequently, the accesses to cloud object storages are likely to be inefficient. In our research, files are profiled according to characteristics, and appropriate backing unit sizes are determined. We experimentally verify that different backing unit sizes for the object storage improve the performance of cloud-backed file systems. In our comparative experiments with S3QL, our prototype cloud-backed file system shows faster performance by 18.6% on average.

DRM Market System for Cloud-based Media Service Platform (클라우드 기반 미디어 서비스 플랫폼을 위한 DRM 마켓 시스템)

  • Cho, Dueckyoun;Hwang, Seogchan;Jeong, Gunho
    • Journal of Korea Multimedia Society
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    • v.20 no.6
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    • pp.918-926
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    • 2017
  • Various types of media services are emerging due to the development of Internet and digital media production and distribution technologies. Various DRM technologies are being developed to prevent illegal copying of media contents and to protect the rights of content creators. There is a problem that the DRM provider and the content service provider must provide services in a mutually dependent manner through individual contracts. In this paper, we propose a cloud-based DRM market system which can be used only by content service providers when necessary for various DRM. The DRM market system is expected to show the effect of service activation for related small and medium sized companies by providing an interface that satisfies the requirements of DRM providers and contents service providers by using multi DRM technology.

Introducing Mobile Cloud Computing-Cloudlet for implementing mobile APP (모바일앱을 구현하기 위한 모바일 클라우드 도입)

  • Nkenyereye, Lionel;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.304-307
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    • 2015
  • Virtualization lacks capabilities for enabling the application to scale efficiently because of new applications components which are raised to be configured on demand. In this paper, we propose an architecture that affords mobile app based on nomadic smartphone using not only mobile cloud computing-cloudlet architecture but also a dedicated platform that relies on using virtual private mobile networks to provide reliable connectivity through Long Term Evolution (LTE) wireless communication. The design architecture lies with how the cloudlet host discovers service and sends out the cloudlet IP and port while locating the user mobile device. We demonstrate the effectiveness of the proposed architecture by implementing an android application responsible of real time analysis by using a vehicle to applications smart phones interface approach that considers the smartphones to act as a remote users which passes driver inputs and delivers outputs from external applications.

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Design and Implementation of I/O Performance Benchmarking Framework for Linux Container

  • Oh, Gijun;Son, Suho;Yang, Junseok;Ahn, Sungyong
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.1
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    • pp.180-186
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    • 2021
  • In cloud computing service it is important to share the system resource among multiple instances according to user requirements. In particular, the issue of efficiently distributing I/O resources across multiple instances is paid attention due to the rise of emerging data-centric technologies such as big data and deep learning. However, it is difficult to evaluate the I/O resource distribution of a Linux container, which is one of the core technologies of cloud computing, since conventional I/O benchmarks does not support features related to container management. In this paper, we propose a new I/O performance benchmarking framework that can easily evaluate the resource distribution of Linux containers using existing I/O benchmarks by supporting container-related features and integrated user interface. According to the performance evaluation result with trace-replay benchmark, the proposed benchmark framework has induced negligible performance overhead while providing convenience in evaluating the I/O performance of multiple Linux containers.

In-Memory File System Backed by Cloud Storage Services as Permanent Storages (클라우드 스토리지를 최종 저장 장치로 사용하는 인메모리 파일 시스템)

  • Lee, Kyungjun;Kim, Jiwon;Ryu, Sungtae;Han, Hwansoo
    • Journal of KIISE
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    • v.43 no.8
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    • pp.841-847
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    • 2016
  • As network technology advances, a larger number of devices are connected through the Internet. Recently, cloud storage services are gaining popularity, as they are convenient to access anytime and anywhere. Among cloud storage services, object storage is the representative one due to their characteristics of low cost, high availability, and high durability. One limitation of object storage services is that they can access data on the cloud only through the HTTP-based RESTful APIs. In our work, we resolve this limitation with the in-memory file system which provides a POSIX interface to the file system users and communicates with cloud object storages with RESTful APIs. In particular, our flush mechanism is compatible with existing file systems, as it is based on the swap mechanism of the Linux kernel. Our in-memory file system backed by cloud storage reduces the performance overheads and shows a better performance than S3QL by 57% in write operations. It also shows a comparable performance to tmpfs in read operations.