Strategies of Cloud Data Center for Medical Bigdata Computing

• 발행기관: 한국유통과학회
• 저자명: Yong-Gyu Jung Young-Jin Choi
• 간행물 정보: 『한국유통과학회 학술대회 논문집』2015년 동계 국제학술대회, 103~105쪽, 전체 3쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2015.12.24

영문 초록

Purpose – The data generated by medical care and medically relevant research are rapidly becoming bigger and more complex, particularly with the advent of new technologies. Our ability to advance medical care and efficiently translate science into modern medicine is bounded by our capacity to access and process these big data. Research design, data, methodology – In many cases, the type of application moving to the cloud will dictate the cloud deployment model that’s utilized (private, public, and hybrid), addressing the specific security, privacy and availability requirements for that application. Results – Cloud Data Center it is possible to solve the problem of the Centre distributed. Lack of operational efficiency, workforce and increased operating costs, standardization limits, generating overlapping investment, business continuity, etc. This absence was a key issue. Conclusions – When integrated cloud data center operations automation to reduce costs, and minimize operating personnel capacity building, improve business agility, power generation, etc. it is provided as an IT-based companies.

목차

1. Introduction

2. Characteristics of Big Data

3. Cloud Computing in Medical Bigdata

4. Consideration for Data privacy

5. Conclusion

References

키워드

Cloud Data Center Medical Facilities Big Data Operational Efficiency Business Agility