Abstract
Cloud computing refers to subscription-based, fee-for-service utilization of computer hardware and software over the Internet. The model is gaining acceptance for business information technology (IT) applications because it allows capacity and functionality to increase on the fly without major investment in infrastructure, personnel or licensing fees. This paper propose a agriculture information cloud solution to provide for agriculture information computing of a mass of heterogeneous, distributed giant collection of information systems. At the same time, this paper also proposes agriculture information cloud architecture that is optimized. This cloud architecture mainly is constituted of hardware layer, data service, virtual layer, middleware layer, application layer. To effectively manage agriculture information platform, this paper also provides insights on market-based resource management strategies that encompass both customer-drive service and application management. Furthermore this paper finally evaluate the performance of CPU and internet-based service workload in the environment of proposed agriculture information cloud architecture and management service strategies. Experiments shows that the proposed agriculture information cloud infrastructure and management service strategies is effective and essential for large-scale agriculture information resource computing of a mass of heterogeneous, distributed giant collection of information systems which carry environmental resources, agricultural production, agricultural products, rural synthesize management and farmers’ education and training.
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Qing, P., Ye, M., Liu, G. (2015). Study on the Agriculture Information Cloud Architecture and Application. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_41
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DOI: https://doi.org/10.1007/978-3-662-47200-2_41
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