[논문]물류산업에서의 클라우드 컴퓨팅 활용 방안

정재운; 김현수

doi:10.14400/jdc.2014.12.2.163

물류산업에서의 클라우드 컴퓨팅 활용 방안
Deployment of Cloud Computing in Logistics Industry 원문보기

디지털융복합연구 = Journal of digital convergence, v.12 no.2, 2014년, pp.163 - 171

정재운 (동아대학교 BK21PLUS총괄사업단) , 김현수 (동아대학교 경영정보학과)

초록
AI-Helper

클라우드 컴퓨팅(클라우드)은 물류정보시스템이 갖는 취약점(표준화할 수 없는 복잡 다양한 방식, 지리적 산재 및 매끄럽지 못한 연계성 등)의 보완 및 물류의 혁신적 활동을 지원할 수 있는 안성맞춤의 기술로 여겨진다. 이러한 의미에서 본 연구는 물류산업에 특화된 클라우드 활용 방안을 연구하고자 하였다. 이를 위해 물류분야의 클라우드 관련 최신 동향 분석, 물류산업에서 필요로 하는 클라우드와 플랫폼, 도입 방안에 대한 분석을 진행하였다. 본 연구는 후속연구에서 물류분야에 특화된 클라우드의 개발 방향을 설정하고, 보다 구체화된 클라우드를 개발하는 데 시사점을 제공한다.

Abstract ▼ AI-Helper

Cloud computing(cloud) is a good candidate for complementing weaknesses of logistics information systems(heterogeneous processes not able to be standardized, geographically scattered and seamed connectivity, etc.) and for supporting innovative activities of logistics. In this sense, we aimed to study deployment strategies of clouds specified in the logistics industry. To achieve our research goal, we reviewed up-to-date logistics clouds researches and analysis of clouds; platforms and deployment strategies for logistics. This study contributes to follow-up researches for establishing a development direction of logistics specific clouds and developing more concrete clouds for logistics.

주제어

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

Cloud already became one of the trendy terms in the field of IT but it is also true that its potential values are still behind the cloud in the real world. For this reason, this study showed a new approach to the cloud with an overview of up-to-date clouds specified in logistics industry. Second, the study introduced noteworthy clouds for logistics industry.

성능/효과

Related to the issue, [32] experimented with scenarios of cloud computing configuration based on SOA(service-oriented architecture). In the experiment, computing performance increased proportionally to configuration environment (composed instance number and size) but improved efficiency of each configuration performance and cost was not linear and exponential. In short, a strategic trade-off(sensitivity) analysis between cost and configuration(clouds composition) are required for logistics cloud challengers.

후속연구

For future research, we will design a logistics cloud model and simulate the model in terms of workload, cost and agility. It will make another contribution for follow-up researches as it provisions the basis of developing new logistics clouds.
For future research, we will design a logistics cloud model and simulate the model in terms of workload, cost and agility. It will make another contribution for follow-up researches as it provisions the basis of developing new logistics clouds.
Regarding these aspects, this study aims to explore deployment strategies for logistics cloud computing with state-of-the-art global research projects and literatures.

참고문헌 (34)

S. Garfinkel, The Cloud Imperative, MIT Technology Review: Business Report- Business in the Cloud. October 3, 2011.
S. Wardley, Discussion Document-A Lifecycle Approach to Cloud Computing. LeadingEdgeForum, 31 May, 2011.
A. Mohamed, A History of Cloud Computing. ComputerWeekly.com, 27 March, 2009.
P. Mell and T. Grance, The NIST Definition of Cloud Computing. National Institute of Standards and Technology Special Publication 800-145, Septmber, 2011.
International Telecommunication Union, Focus Group on Cloud Computing Technical Report Part 1: Introduction to the Cloud Ecosystem: Definitions, Taxonomies. Use Cases and High-Level Requirements, Switzerland, 2012a.
G. Joshi, Cloud Computing: Leading from the Front-Part1. CloudTweaks. March 30, 2012.
K. Hwang, G. Fox, and J. Dongarra, Distributed and Cloud Computing-From Parallel Processing to the Internet of Things. Waltham, MA: Morgan Faufmann, 2012.
J. Rehof, Cloud Computing Applications for Logistics. First Mysore Park Workshop on Cloud Computing 2010, January 13-16, Mysore, India, 2010.
J. U. Jung, H. S. Kim, and D. H. Kim, An Exploratory Study for Seamless Overland Logistics Information Flows and Connection: An In-Depth Case Study of Korea. World Academy of Science, Enginnering and Technology, Iss. 83, pp.425-429, 2013.
J. Korczak, M. Paweka, and Piotr Lipinski, Information Requirements Analysis of SME and Optimization of Supply Chain of Mulimodal Logistics. International Conference Logistics and Cloud Computing, Bologna, Italy, 2012.
K. Cavano, Tap the Potential of SaaS and Cloud Computing. Inbound Logistics. July 2010.
http://old.kcc.go.kr/user.do?modeview&pageP02 030900&dcK02030700&boardId1014&boardSeq 34249
www.korea.kr/policy/economyView.do?newsId14 8770349&call_fromnaver_news
M. Lindemann, Smart Port Logistics-Cloud Services for a Smart Approach Control within Hamburg Harbour. T-Systems, 2013.
www.project-logical.eu
International Telecommunication Union, Focus Group on Cloud Computing Technical Report Part 7: Cloud Computing Benefits from Telecommunication and ICT Perspectives. Switzerland, 2012d.
International Telecommunication Union, Focus Group on Cloud Computing Technical Report Part 5: Cloud Security. Switzerland, 2012c.
H. Li, J. Sedayao, J. Hahn-Steichen, E. Jimison, C. Spence and S. Chahal, Developing an Enterprise Cloud Computing Strategy. Intel Corporation, January 2009.
M. Colajanni, Opportunity of Cloud Computing for Logistics, International Conference Logistics and Cloud Computing. Bologna, Italy, 2012
International Telecommunication Union, Focus Group on Cloud Computing Technical Report Part 2: Functional Requirements and Reference Architecture. Switzerland, 2012b.
J. Berman, New Cloud-Based Offering from BT Geared towards Global Supply Chains. Logistics Management, October 24, 2012.
www.gocloudlogistics.com
www.klnet.co.kr
www.t-systems.com
www.t-systems.com/news-media/cloud-marketpl ace-for-logistics-sector/824522
Fraunhofer, Logistics Mall-Cloud Computing for Logistics. 2011.
U. Arnold, J. Oberlander and B. Schwarzbach, Advancements in Cloud Computing for Logistics. Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, pp. 1055-1062, 2013.
A. Aulicino and G. Dall'Asta, Cloud Computing Platform in the Bologna Hub. International Conference Logistics and Cloud Computing, Bologna, Italy, 2012.
M. Chung and J. Hermans, From Hype to Future- KPMG's 2010 Cloud Computing Survey. KPMG Advisory N.V., 2010.
KPMG, Modelling the Economic Impact of Cloud Computing. 2012.
B. McCrea, State of Cloud Computing: Sky's the limit. Logistics Management. Ocober 1, 2013.
V. Stantchev, Performance Evaluation of Cloud Computing Offerings. 2009 Third International Conference on Advanced Engineering Computing and Applications in Sciences, pp. 187-192.
R. N. Calheiros, R. Ranjan, A. Beloglazov, C. A. F. D. Rose and R. Buyya, CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms. Software-Practice and Experience, vol. 41, pp.23-50, 2011.

상세보기
D. S. Kim and J. W. Kim, Research Trend Analysis Using the Bibliographic Information and Citation of Cloud Computing Article: Application of Social Network Analysis. 2013 Autumn Conference Proceedings of Korea Intelligent Information System Society, pp. 153-160, 2013.

저자의 다른 논문 :

LOADING...

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증