1. Grid Based Chinese Virtual Observatory System Design Chenzhou CUI, Yongheng ZHAO National Astronomical Observatories, Chinese Academy of Sciences Email: ccz@bao.ac.cn; yzhao@lamost.org Homepage: http://www.china-vo.org, http://www.lamost.org National Astronomical Observatories, Chinese Academy of Sciences MyVO Personal VO services Modular Design Structured Design Client services from different providers if only with stardard interface can be intergrated into the China-VO MyVO. China-VO & Partners China-VO: NAOC, Yunnan Astronomical Observatory NAOC (YNAO), Peking University (PKU), Tsinghua University (THU), University of Science and Technology of China (USTC), etc. Chinese National Grid (CNGrid): high preference computing, bandwidth resource, storage resource, large-scale Grid testbed. IVO: Standardization, Interoperation China-VO milestones  2002-2003, China-VO prototype at NAOC  2004-2005, Beijing city area China-VO  2006-2007, National wide China-VO Spectra Data Related Applications Data processing and analyzing tools for astronomers. Data processing Spectrum measurement Spectra redshift calculation Automatic classification Outlier detections Cross-identifications Data Mining Visualization High Performance Computing Build on atomic services and can take advantages of existing packages. Chinese Virtual Observatory (China-VO) project is a consortium initiated by Chinese National Astronomical Observatory (NAOC) and Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) project. Mission Being a key component of the International Virtual Observatory, completes its part in China, and leads astronomy research in China into VO era. Characteristics of the China-VO Open Grid Services Architecture (OGSA) based architecture Service oriented R&D mode VO-enabled LAMOST Application services focusing on spectral sky survey data automatic processing and analyzing China-VO Service Model Service-oriented mode will be adopted during the R&D of the China-VO. Server-side components of the system act as three roles, data service provider (DSP), application service provider (ASP) and Registry. Functions of the three roles are implemented by series of atomic VO services, a kind of Grid service. Some functions, for example resource management, system monitoring, security and job schedule are required by all of the three roles. These common services will be taken from Globus Toolkit and other Grid middlewares. Common services for both astronomy and other scientific fields, for example visualization and data mining, China-VO will refer to successful solutions of other fields, while concentrate itself on astronomical characterized fundamental and application services, for example registry, astronomy ontology, data transform, data processing, etc. China-VO Architecture Grid technology, especially the OGSA and its implementation Globus Toolkit 3 (GT3), aims to remove the "isolated islands" of information on the Internet, and to enable dynamic sharing of all kinds of network resources. OGSA provides a solid technical platform for the China-VO. The system architecture of the China-VO is strongly based on that. The China-VO will adopt service- oriented mode during its R&D. Logically, the system is composed of four layers, i.e. fabric layer, resource layer, collective layer and user layer. Fabric layer is the resource base for the whole system. Taking advantage of GT3 and other Grid components, resource layer provides unified resource access for higher services. Collective layer is collection of astronomical characterized services, including data processing, data mining, analyzing, visualization, computing, etc. User layer is the interface between the China-VO and users; Its basic functions are job submission and results return. VO-enabled LAMOST The task consists of two stages: VO-enabled LAMOST Data and VO-enabled LAMOST Telescope. At present, we are only concentrating on the first stage by defining IVO compatible resource metadata, data model and data access services. What’s meaning? Working catalogs, including target catalog and guide star catalog, are extracted using multi- waveband sky survey datasets federated through the IVO. Data production, including 2-d and 1-d spectra data and survey catalog, generated by LAMOST pipeline, are integrated into the IVO.