Abstract: Data center as the core facilities of the scientific data resources,is becoming overly complex,expensive and inefficient.Along with the large scale application and the increase number of the users,the connectivity,stability and safety of the data center become a serious challenge.Researches on resource integration,automatic deployment and resources centralization management in data center,are concerned by the current academic and business fields.This paper constructed domain-specific scientific data cloud to connect multiple decentralized and self-organizing data center into a virtual data network.It provides environment and service support for scientific data access,data integration,data sharing and data management,in order to realize data resources gathered,the large-scale scientific data sharing and unified mana-gement.And on this basis,this paper studied the data center agent model,heterogeneous source sharing model and resources communication model emphatically.Study of these models plays a critical roles to improve the data center scala-bility and fault tolerance,to reduce the data center operation and maintenance cost,and to realize the transition from the traditional data center to cloud data center.Finally,this paper introduced the resources aggregation model towards domain-specific scientific data cloud into the development,deployment,operation and monitoring management of the oil and gas well scientific data sharing service platform.The practice demonstrats that the open scientific data cloud model technology is feasible,and has an important reference significance and application value to promote scientific data integration,sharing,and management research.

Key words: Scientific data cloud,Data sharing,Resource integration,Virtualization