CGSV: an adaptable stream-integrated grid monitoring system

Authors:
Weimin Zheng;Lin Liu;Meizhi Hu;Yongwei Wu;Liangjie Li;Feng He;Jing Tie
Affiliations:
Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China
Venue:
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Year:
2005

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Abstract

Grid monitoring is essential for the grid management and efficiency improvement. ChinaGrid Super Vision (CGSV) is proposed for ChinaGrid to collect status information of each entity (such as resources, services, users, jobs, Network), and provide corresponding information data query and mining services. In this paper, CGSV architecture and its components are discussed. CGSV is featured by data stream integration and adaptability to cope with dynamic measurement data and multiform query requirements. Measurement data can be accessed quickly and easily through WSRF-compliant services in CGSV. Transfer and control protocols are brought forward to facilitate data stream querying and runtime producer configuration in CGSV.