With the development of the cloud computing, more and more enterprises migrate their application systems to the cloud computing environment, these systems need multiple data resource collaborative work, and integrate existing heterogeneous data storage system. This paper aiming at the massive data processing, proposes a kind of heterogeneous data resource management model. This model implement massive resources storage, massive storage network’ generation, update and balance of workload, proposes the security management and monitoring methods. The model proposed by this paper gives a novel solution to the heterogeneous data resource management and application in the cloud.
목차
Abstract 1. Introduction 2. Related Work 3. Problems of Data Resource Management in Cloud Environment 4. The Heterogeneous Data Resource Management Model in Cloud Environment 5. Implementation of the Model 5.1. Physical Storage Layer 5.2 Data resource network layer 5.3. Data Conversion Layer 5.4. GroupDB Data Management 5.5. Data Security Management Module 6. Experiment and Performance Analysis 7. Summary Acknowledgements References
키워드
cloud computingheterogeneous Data resource Managementdistributed storagedynamic management
저자
Tao Sun [ School of Computer Science and Technology, Shandong University Jinan, Shandong 250101, School of Information, Qilu University of Technology Jinan, Shandong 250353, China ]
Xinjun Wang [ School of Computer Science and Technology, Shandong University Jinan, Shandong 250101, China ]
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.6 No.5