• Title/Summary/Keyword: 클라우드-컴퓨팅

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Cloud-based Intelligent Management System for Photovoltaic Power Plants (클라우드 기반 태양광 발전단지 통합 관리 시스템)

  • Park, Kyoung-Wook;Ban, Kyeong-Jin;Song, Seung-Heon;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.3
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    • pp.591-596
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    • 2012
  • Recently, the efficient management system for photovoltaic power plants has been required due to the continuously increasing construction of photovoltaic power plants. In this paper, we propose a cloud-based intelligent management system for many photovoltaic power plants. The proposed system stores the measured data of power plants using Hadoop HBase which is a column-oriented database, and processes the calculations of performance, efficiency, and prediction the amount of power generation by parallel processing based on Map-Reduce model. And, Web-based data visualization module allows the administrator to provide information in various forms.

Practical and Legal Challenges of Cloud Investigations (클라우드 환경에서 수사 실무와 법적 과제)

  • James, Joshua I.;Jang, Yunsik
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.6
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    • pp.33-39
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    • 2014
  • An area presenting new opportunities for both legitimate business, as well as criminal organizations, is Cloud computing. This work gives a strong background in current digital forensic science, as well as a basic understanding of the goal of Law Enforcement when conducting digital forensic investigations. These concepts are then applied to digital forensic investigation of cloud environments in both theory and practice, and supplemented with current literature on the subject. Finally, legal challenges with digital forensic investigations in cloud environments are discussed.

Reinforcement Learning Approach for Resource Allocation in Cloud Computing (클라우드 컴퓨팅 환경에서 강화학습기반 자원할당 기법)

  • Choi, Yeongho;Lim, Yujin;Park, Jaesung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.4
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    • pp.653-658
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    • 2015
  • Cloud service is one of major challenges in IT industries. In cloud environment, service providers predict dynamic user demands and provision resources to guarantee the QoS to cloud users. The conventional prediction models guarantee the QoS to cloud user, but don't guarantee profit of service providers. In this paper, we propose a new resource allocation mechanism using Q-learning algorithm to provide the QoS to cloud user and guarantee profit of service providers. To evaluate the performance of our mechanism, we compare the total expense and the VM provisioning delay with the conventional techniques with real data.

SSD Assisted Recovery Efficiency Optimization System Based on Deduplication Method in the Cloud (클라우드 환경에서 중복 제거 기법을 적용한 SSD 기반의 회복 효율성 최적화 시스템 설계)

  • Kim, Min-Jae;Kim, Kyung-Tae;Youn, Hee-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.223-226
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    • 2014
  • 클라우드 컴퓨팅 및 모바일 통신 서비스의 사용량이 급격히 증가함에 따라 데이터가 기하급수적으로 증가하고 있다. 이러한 데이터를 저장하는 스토리지 장치로서 소비 전력이 작으며 우수한 데이터 접근 성능을 보이는 SSD(Solid State Disk)가 각광받고 있다. SSD는 다수의 NAND 플래시 메모리를 부착하고 호스트에서 요구하는 명령을 받아 수행하는 대용량 장치이다. 이러한 SSD는 비휘발성, 빠른 성능, 내구성, 저전력 등의 장점으로 인해 시장에서 널리 사용되고 있다. 그러나 이러한 SSD의 장점들에도 불구하고 읽기, 쓰기, 삭제 연산 수행 시간의 비대칭성과 불균등한 기본단위, 덮어쓰기 연산의 불가, 한정된 블록 당 삭제횟수 등의 NAND 플래시 메모리의 내재적 단점들이 존재한다. 그 중 NAND 플래시 메모리의 블록 당 한정된 삭제 횟수는 SSD의 수명에 영향을 끼치며 일정한 삭제 횟수를 초과하게 되면 안정성이 크게 떨어지게 되고 더 이상 사용이 불가능하게 된다. 따라서 본 논문에서는 클라우드 환경에서의 SSD에서 NAND 플래시 블록의 한정된 삭제 횟수에 따른 성능의 효율성을 향상시키기 위하여 중복 제거 기법을 적용한 SSD기반의 회복 효율성 최적화 시스템을 설계하였다.

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A Study of Security Risk Analysis for Public IaaS Cloud Certification (공공 IaaS 클라우드 인증제도에 적용할 위험분석 방법에 대한 연구)

  • Kim, Sun-Jib;Kim, Ki-Young
    • Convergence Security Journal
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    • v.15 no.5
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    • pp.9-15
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    • 2015
  • Cloud computing has emerged with promise to decrease the cost of server additional cost and expanding the data storage and ease for computer resource sharing and apply the new technologies. However, Cloud computing also raises many new security concerns due to the new structure of the cloud service models. Therefore, several cloud service certification system were performed in the world in order to meet customers need which is the safe and reliable cloud service. This paper we propose the new risk analysis method different compare with existing method for secure the reliability of certification considering public IaaS(Infrastructure as a Service) cloud service properties.

A Design of Security Structure in Bare Metal Hypervisor for Virtualized Internal Enviroment of Cloud Service (클라우드 서비스 가상화 내부 환경을 위한 BareMetal Hypervisor 기반 보안 구조 설계)

  • Choi, Do-Hyeon;You, Han-Na;Park, Tae-Seung;Do, Kyoung-Hwa;Jun, Moon-Seog
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.7
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    • pp.526-534
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    • 2013
  • With rapid rise of virtualization technology from diverse types of cloud computing service, security problems such as data safety and reliability are the issues at stake. Since damage in virtualization layer of cloud service can cause damage on all host (user) tasks, Hypervisor that provides an environment for multiple virtual operating systems can be a target of attackers. This paper propose a security structure for protecting Hypervisor from hacking and malware infection.

Supplements an Initial Creation and User Addition in VANET Cloud Architecture (초기 생성과 사용자 추가를 고려한 VANET 클라우드 아키텍처)

  • Kim, Taehyeong;Song, JooSeok
    • KIPS Transactions on Computer and Communication Systems
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    • v.3 no.12
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    • pp.449-454
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    • 2014
  • While the era of driverless car has come, Vehicular Ad hoc NETwork(VANET) is getting important. Original VANET has a limit that cannot use computation power, storage space of On Board Unit(OBU) installed in a vehicle efficiently. VANET cloud computing(VCC) solves the limit to focus on using abilities of each vehicle. This article proposes VCC architecture for supplementing user addition and initial cloud creation that have been researched insufficiently.

A Virtual Machine Remapping Scheme for Reducing Relocation Time on a Cloud Cluster (클라우드 클러스터에서 가상머신 재배치시간을 단축하기 위한 재매핑 기법)

  • Kim, Chang-Hyeon;Kim, Jun-Sang;Jeon, Chang-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.11
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    • pp.1-7
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    • 2014
  • In this paper, we propose a virtual machine(VM) remapping scheme that reduces VM relocation time on a cloud cluster. The proposed scheme finds VMs that should be migrated in sequence from a given VM map, and exchanges destinations of some VMs among them to reduce the VM relocation time. The VMs, the destinations of which will be exchanged, are chosen based on the amount of physical machine's available resources and migration completion time. The exchange of destinations is repeated until the VM relocation time cannot be shortened any further. Through a simulation, we show that the proposed scheme reduces VM relocation time by 42.7% in maximum.

Cloud based Android Mobile Malware Detection Using Stage by Stage Analysis (단계적 분석 기법을 이용한 클라우드 기반 모바일 악성코드 탐지)

  • Lee, Jina;Min, Jae-Won;Jung, Sung-Min;Chung, Tai-Myoung
    • Annual Conference of KIPS
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    • 2012.11a
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    • pp.1076-1079
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    • 2012
  • 스마트폰의 사용이 생활에 필수적인 요소가 되었다. 스마트폰 특징의 가장 핵심적인 부분이 다양한 콘텐츠를 사용자의 취향에 맞게 선택 할 수 있다는 점이기에 스마트폰의 콘텐츠 시장 또한 빠르게 커지고 있다. 오픈 마켓인 안드로이드의 특성 상 누구나 어플리케이션을 만들어 원하는 곳에 배포할 수 있고 어플리케이션을 다운받을 수 있는 소스도 한정되어 있지 않기 때문에 스마트폰 보안을 위협하는 악의적인 어플리케이션에 노출되기 쉽다. 개인적인 정보가 저장되어 있는 핸드폰의 특징 상 악성코드에 노출 될 경우 전화번호부 유출로 인한 인한 스팸이나 피싱에서 크게는 금융정보 유출까지, 입을 수 있는 피해가 크다. 이를 방지하기 위해 클라우드 컴퓨팅을 이용해 단계적으로 악의적인 어플리케이션을 걸러 내고 클라우드 서버에 어플리케이션 실행 환경을 제공함으로써 사용자의 기기를 안전하게 보호 할 수 있는 시스템을 제안한다.

BIM Platform Resource Management for BaaS(BIM as a Service) in Distributed Cloud Computing (BaaS(BIM as a Service)를 위한 분산 클라우드 기반의 BIM 플랫폼 리소스 관리 방법 연구)

  • Son, A-Young;Shin, Jae-Young;Moon, Hyoun-Seok
    • Journal of KIBIM
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    • v.10 no.3
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    • pp.43-53
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    • 2020
  • BIM-based Cloud platform gained popularity coupled with the convergence of Fourth Industrial Revolution technology. However, most of the previous work has not guaranteed sufficient efficiency to meet user requirements according to BIM service. Furthermore, the Cloud environment is only used as a server and it does not consider cloud characteristics. For the processing of High Capacity Data like BIM and using seamless BIM service, Resource management technology is required in the cloud environment. In this paper, to solve the problems, we propose a BIM platform for BaaS and an efficient resource allocation scheme. We also proved the efficiency of resource for the proposed scheme by using existing schemes. By doing this, the proposed scheme looks forward to accelerating the growth of the BaaS through improving the user experience and resource efficiency.