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Since the emergence of Software Defined Network (SDN), it has been widely concerned by the academia and the industry. However, Distributed Denial of Attack (DDoS) can pose a threat to the SDN. Many papers use machine learning algorithms to detect DDoS attacks in SDN, trying to find a balance between detection accuracy and processing time. The purpose of this paper is to propose a DDoS attack detection and defense mechanism based on the Self‐Organizing Mapping (SOM) under SDN environment. The experimental results show that this mechanism can not only maintain the proper precision, but also reduce the processing time. In addition, it can also restore port communication.

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G/S mode is a brand new spatial data access mode which is especially suitable for spatial information accessing through network. By introducing the software testing theory, a software performance testing on the spatial information network accessing was conducted between the Google Earth based on G/S mode and the Google Maps based on B/S mode. The advantages of G/S mode on the spatial information network accessing can be truly shown by comparing the testing results. Keywords-G/S mode; Geo-Browser ； Software PerformanceTesting；LoadRunner I.