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| 内容感知光网络及其资源分配 | |
| 引用本文： | 杨松,张晓光,席丽霞,赵东鹤.内容感知光网络及其资源分配[J].北京邮电大学学报,2013,36(3):64-68. |
| 作者姓名： | 杨松 张晓光 席丽霞 赵东鹤 |
| 作者单位： | 1. 北京邮电大学 信息光子学与光通信研究院, 北京 100876; 2. 北京邮电大学 信息光子学与光通信国家重点实验室, 北京 100876 |
| 基金项目： | 国家自然科学基金项目(61205065); 高等学校博士学科点专项科研基金项目(20110005110014); 山东省自然基金项目(ZR2010FM043) |
| 摘 要： | 提出采用应用层内容识别技术,围绕深度报文检测技术,在对业务进行内容感知识别和优先级划分的基础上,结合通信网业务模型分析方法,实现对光网络波长等资源细粒度有效分配,使光网络资源与高层应用业务需求更好适配.结合排队论,分析并建立该新型光网络业务模型,通过实验显示出对协议的识别粒度,并以此进行有效的光网络资源分配. |
| 关 键 词： | 光网络 内容感知 排队论 Poisson业务 自相似业务 |
| 收稿时间： | 2012-07-17 |
Content Aware Based Optical Network Traffic and Resource Allocation |
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| YANG Song,ZHANG Xiao-guang,XI Li-xia,ZHAO Dong-he.Content Aware Based Optical Network Traffic and Resource Allocation[J].Journal of Beijing University of Posts and Telecommunications,2013,36(3):64-68. | |
| Authors: | YANG Song ZHANG Xiao-guang XI Li-xia ZHAO Dong-he |
| Affiliation: | 1. Institute of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China; 2. State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China |
| Abstract: | A combination of application layer content identification and deep packet inspection is proposed to realize efficient fine-grained allocation of resources. A better adaption of optical network resources with high-layer application needs is achieved. With network traffic model analysis and packets content-aware, this technology prioritizes different traffic loads. Based on queuing theory, a new optical network traffic model is built and analyzed. Experiments testify the effective optical network resource allocation. |
| Keywords: | optical network content aware queuing theory Poisson traffic self-similar traffic |
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