| 网格技术在电信中的应用研究 |
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| 引用本文： | 季一木,王汝传,王海艳.网格技术在电信中的应用研究[J].电信科学,2006,22(2):15-19. |
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| 作者姓名： | 季一木 王汝传 王海艳 |
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| 作者单位： | 1. 南京邮电大学计算机科学与技术系,南京,210003
2. 南京邮电大学计算机科学与技术系,南京,210003;南京大学计算机软件新技术国家重点实验室,南京,210093 |
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| 基金项目： | 中国科学院资助项目，国家自然科学基金，国家自然科学基金，江苏省高技术研究发展计划项目，江苏省重点实验室基金，江苏省高校自然科学基金 |
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| 摘 要： | 网格技术当前已经成为研究的热点,前期的研究多数为理论研究,但是,中国教育网格支撑平台(Chi-naGrid supporting plafform,CGSP)发布之后,国内外对网格技术的商业应用研究再次掀起高潮.本文首先对网格技术应用到电信业后对网络层次结构模型的影响和网格技术的具体应用做了理论分析,然后通过最能体现网格特点的电信业的两个应用例子验证了部分理论.
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| 关 键 词： | 网格计算 电信网格 CPU密集型计算 数据密集型计算 |
| 收稿时间： | 2005-11-21 |
| 修稿时间： | 2005年11月21 |
Application Study on Grid Technique Used in Telecommunication |
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| Ji Yimu,Wang Ruchuan,Wang Haiyan.Application Study on Grid Technique Used in Telecommunication[J].Telecommunications Science,2006,22(2):15-19. |
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| Authors: | Ji Yimu Wang Ruchuan Wang Haiyan |
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| Affiliation: | 1.Department of Computer Science and Technology. Nanjing University of Posts and Telecommunications, Nanjing 210003, China;2.State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093. China |
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| Abstract: | Presently,the grid technique has already become the research hotspot in the world,and in the period work,the theories research is the majority,but the CGSP(ChinaGrid supporting platform)is one innovation in the application fields of grid technique.After this,the application study on gird technique used in commerce fields becomes the second wave tide in the world.We grasp this opportunity,and make telecommunication industry with the widest network environment as the entry-point to study grid application.The main work in the paper firstly theoretically analyses two parts about the influence of network hierarchy after applying grid technique and the concrete the grid technique how to be applied in telecommunication.In order to verify the theory parts,this paper chooses two application demonstration in the field of telecommunication which indicates the characteristics of grid best. |
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| Keywords: | grid computing telecommunication network televommunication gird CPU denseness computation data denseness computation |
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