CAJ | 학술논문

美国加州大学圣迭戈分校(UCSD)的科研信息化基础设施(RCI)项目的目标是在集中存储、主机托管、计算、数据管理、联网和技术服务等方面为师生员工提供长期优质的服务。在2012年9月到2013年2月之间，为了确定数据存储的要求以及工作优先排序，RCI数据服务团队(RCIDS)与多名教师和高级职员进行了一系列访谈。这些采访涉及了圣迭戈分校的29个独立的部门和科研单位，有50个不同的小组参加，共代表了600多名研究人员。这些研究小组的各样数据，从人类基因组序列，海洋天然产物，到宇宙模拟实验，是与全球成千上万用户分享的。根据这些访谈的结果，我们总结了圣迭戈分校研究人员对数据服务的10个要求以及5个现有的挑战与风险。RCIDS提出在一个可持续的商业模式下，首先部署网络附加存储(NAS)数据服务；然后，再通过进一步的讨论以及考虑新兴的云计算技术来确定更长远的服务计划；最后，我们对于建立可持续性的高等教育 e-科学基础设施的实施方案，基于云计算的数据服务，以及可吸取的经验教训提供了广泛的讨论。
미국가주대학골질과분교(UCSD)적과연신식화기출설시(RCI)항목적목표시재집중존저、주궤탁관、계산、수거관리、련망화기술복무등방면위사생원공제공장기우질적복무。재2012년9월도2013년2월지간，위료학정수거존저적요구이급공작우선배서，RCI수거복무단대(RCIDS)여다명교사화고급직원진행료일계렬방담。저사채방섭급료골질과분교적29개독립적부문화과연단위，유50개불동적소조삼가，공대표료600다명연구인원。저사연구소조적각양수거，종인류기인조서렬，해양천연산물，도우주모의실험，시여전구성천상만용호분향적。근거저사방담적결과，아문총결료골질과분교연구인원대수거복무적10개요구이급5개현유적도전여풍험。RCIDS제출재일개가지속적상업모식하，수선부서망락부가존저(NAS)수거복무；연후，재통과진일보적토론이급고필신흥적운계산기술래학정경장원적복무계화；최후，아문대우건립가지속성적고등교육 e-과학기출설시적실시방안，기우운계산적수거복무，이급가흡취적경험교훈제공료엄범적토론。
The University of California, San Diego (UC San Diego) Research Cyberinfrastructure (RCI) program provides long-term quality services in centralized storage, colocation, computing, data curation, networking and technical expertise. To help deifne the data storage needs and set priorities, the RCI data services (RCIDS) team conducted a series of interviews with faculty and senior staff members between September 2012 and February 2013. A total of 50 groups from 29 separate departments and organized research units (ORUs) participated in the interviews, representing more than 600 UC San Diego researchers. From human genomic sequences, marine natural products, to cosmological simulations, their diverse datasets are shared with hundreds of thousands of users worldwide. The top 10 requirements on data services and the top 5 existing challenges and risks as reported by UC San Diego researchers have been identiifed. Based upon these requirements, the RCIDS team recommends a Network Attached Storage (NAS) data service to be first deployed with a sustainable business model. Additional services will be developed through further discussion with the research community and in view of emerging cloud computing technologies. An extensive discussion is provided on the implementation plan, cloud-based data services, and the lessons learned in building sustainable e-science infrastructure for higher education research.