Research on cloud computing and services framework of marine environmental information management

SHI Suixiang LIU Yang WEI Hongyu QIAO Baiyou WANG Guoren XU Lingyu

SHISuixiang, LIUYang, WEIHongyu, QIAOBaiyou, WANGGuoren, XULingyu. Research on cloud computing and services framework of marine environmental information management[J]. 海洋学报英文版, 2013, 32(10): 57-66. doi: 10.1007/s13131-013-0366-5
引用本文: SHISuixiang, LIUYang, WEIHongyu, QIAOBaiyou, WANGGuoren, XULingyu. Research on cloud computing and services framework of marine environmental information management[J]. 海洋学报英文版, 2013, 32(10): 57-66. doi: 10.1007/s13131-013-0366-5
SHI Suixiang, LIU Yang, WEI Hongyu, QIAO Baiyou, WANG Guoren, XU Lingyu. Research on cloud computing and services framework of marine environmental information management[J]. Acta Oceanologica Sinica, 2013, 32(10): 57-66. doi: 10.1007/s13131-013-0366-5
Citation: SHI Suixiang, LIU Yang, WEI Hongyu, QIAO Baiyou, WANG Guoren, XU Lingyu. Research on cloud computing and services framework of marine environmental information management[J]. Acta Oceanologica Sinica, 2013, 32(10): 57-66. doi: 10.1007/s13131-013-0366-5

Research on cloud computing and services framework of marine environmental information management

doi: 10.1007/s13131-013-0366-5
基金项目: The Ocean Public Welfare Scientific Research Project of State Oceanic Administration of China under contract No.201105033.

Research on cloud computing and services framework of marine environmental information management

  • 摘要: Based on the features of marine environmental data and processing requirements,a cloud computing architecture of marine environment information is proposed,which provides a new cloud technology framework for the integration and sharing of marine environmental information resources.A physical layer,software platform layer and an application layer are illustrated systematically,at the same time,a corresponding solutions for many difficult technical problems such as parallel query processing of multi-dimensional,spatiotemporal information,data slice storage,software service flow customization,analysis,reorganization and so on.A prototype system is developed and many different data-size experiments and a comparative analysis are done based on it.The experiment results show that the cloud platform based on this framework can achieve high performance and scalability when dealing with large-scale marine data.
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出版历程
  • 收稿日期:  2012-11-13
  • 修回日期:  2013-05-22

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