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提出了一种面向深度分组检测的高速数据分组解析结构BiPPCS(bidirectional packet parsing architecture for content security)。结构采用内容萃取树描述协议的耦合关系从而提高了数据分组解析的灵活性;利用硬件双向并行流水线提升了数据分组解析的处理速率;通过使用节点映射算法来均衡各级流水线上的节点数目优化存储空间;分析和仿真显示BiPPCS在...
针对云提供商在保证数据可靠性的基础上,尽可能地降低自身的数据容灾成本这一需求,提出了一种基于“富云”的数据容灾策略——RCDDRS,该策略能够实现动态多目标调度,即在云提供商本身存储资源有限的情况下,合理地选择其他云提供商的资源储存数据备份,使得数据容灾成本尽可能的低且出现灾难后的恢复时间尽可能的短。仿真结果证明了该策略的可行性和有效性。
针对评价问题中由于评价者的评价基准不同,难以给出一个符合原始评价信息的综合评价结果的问题,以及普遍存在的数据缺失的现象,建立了一个新的评价方法.运用了图论的相关原理,将评价对象视为点,评价者的评价行为将点与点连接起来构成边,由此得到评价的图模型,并转换为与之等价的二维邻接矩阵;运用最优化原理,将该矩阵向一维空间做投影,得到综合的评价结果.通过定义评价的合理性指标,并做模拟数据和真实数据的实证分析,...
当前IT业最热门的话题应该就是大数据了,这个两年前才被炒作起来的概念,现在已无处不在,占居了互联网的半壁江山,它与云计算一起成为未来信息技术发展最重要的内容。处于IT行业的人们,如果不知道大数据,不了解大数据所创造的那些神话般的故事,就好象已经跟不上信息技术的发展,成为时代的落伍者了。
针对目前大多数多核处理器任务分配优化算法没有考虑关键路径上节点对任务完成时间的重要影响,导致任务完成总时间延迟的问题,提出了基于关键路径和任务复制(CPTD)的单任务调度算法。CPTD算法通过复制任务图中fork节点的方式将任务图转化为与之相对应的产品加工树;再在生成的产品加工树中找到关键路径,并采取使关键路径上节点的紧前节点尽早调度的方式,使关键路径上节点尽早开始执行,进而使产品加工树中节点完成...
More and more volumes of high quality imagery data are becoming available than ever and it brings a challenge to the industry on how to integrate data from multi-sources effectively and timely to ex...
The increasing spatial data provide abundant material for data fusion, and the purpose of the paper is to apply data fusion into the production and updating of spatial data. After outlining the gene...
Visualizing the global data smoothly is a challenge to the present software and network technology, such as simulating global weather phenomena or global geological environment. In this paper, we de...
Traditional geometry-based approach can maintain the characteristics of vector data. However, complex interpolation calculations limit its applications in high resolution and multi-source spatial da...
Four kinds of subdivision methods of Global Discrete Grid are presented in this paper. Furthermore, we systematically and comprehensively compare and analyze the distortion distribution and converge...
To know well about the highly complex earth system, a large volume of, as well as a large variety of, datasets on the planet Earth are being obtained, distributed, and shared worldwide everyday. How...
Earth observation system, which can realize global coverage in three dimensions, has provided massive data from earth observations at global scale for Earth System Science (ESS) and global change re...
A spatial data management and analysis frame is required for global problem application. Global Discrete Grid (GDG) has seamless, excellent hierarchy characteristics. GDG has been used for spatial d...
In this paper, a Global “Natural” Grid (GNG) modeling method based on the terrain topological structure is proposed. GNG partitions the earth surface into “natural” cells by using the natural terrain...
The global spatial grid is an important spatial data model for Digital Earth. Discrete Global Grid provides a means of rasterizing the earth surface, and then has been considered as the basic data m...

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