基于资源限制的融合网络QoS模型优化
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摘要
为提高公共通信网络的规范性和安全性,考虑基于云平台技术,将数据通信网与信息内网进行融合和统一部署。随着通信数据量的增长,对融合网络QoS服务质量和基站与用户的资源消耗提出了更高要求。针对融合机制中的QoS需求,提出将分布式Caching与D2D结合的节点间通信机制引入到两网融合中。并针对基站和用户对于资源的限制,提出在现有模型基础上,引入传输消耗和D2D信令消耗作为约束条件,以求解一个更为合理的缓存分布。将所提方法应用于国网公司网络融合案例中,其使得融合网络的通信机制更加符合实际需求,取得了较好成效。
In order to improve standardization and safety of the public communication network, the data communication network and information network are supposed to be integrated and deployed together based on the cloud platform technology. The growth of communication data raises higher demands for the QoS service quality of the fused network, and also for the resource consumption of the base station and users. According to the QoS demand of the integration mechanism, a mechanism of communication between nodes, which combines distributed Caching with D2 D, is proposed for the integration of two networks. According to the resource constraints to the base station and users, it is proposed to add transmission consumption and D2 D signaling cost as constraints to the existing model to obtain a more reasonable distribution of the cache. The proposed approach is applied to the network integration case of the State Grid Corporation of China. It makes the communication mechanism of the integrated network more consistent with actual demand, and achieves good results.
In order to improve standardization and safety of the public communication network, the data communication network and information network are supposed to be integrated and deployed together based on the cloud platform technology. The growth of communication data raises higher demands for the QoS service quality of the fused network, and also for the resource consumption of the base station and users. According to the QoS demand of the integration mechanism, a mechanism of communication between nodes, which combines distributed Caching with D2 D, is proposed for the integration of two networks. According to the resource constraints to the base station and users, it is proposed to add transmission consumption and D2 D signaling cost as constraints to the existing model to obtain a more reasonable distribution of the cache. The proposed approach is applied to the network integration case of the State Grid Corporation of China. It makes the communication mechanism of the integrated network more consistent with actual demand, and achieves good results.
引文
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[2]马睿,何海洋,李长水.国网数据通信网跨域VPN的设计与兼容性实现[J].电力信息与通信技术,2016,14(12):80-84.MA Rui,HE Haiyang,LI Changshui.Design and compatibility implementation of state grid data communication network cross-domain VPN[J].Electric Power Information and Communication Technology,2016,14(12):80-84.
[3]尹薇薇.杭州电力数据通信网建设方案研究[J].电力信息与通信技术,2014,12(10):31-36.YIN Weiwei.Research on construction of hangzhou power data communication network[J].Electric Power Information and Communication Technology,2014,12(10):31-36.
[4]连亦承,喻鹏,亓峰,等.一种面向负载均衡的电力OTN路由优化算法[J].广东电力,2018,31(5):42-48.LIAN Yicheng,YU Peng,QI Feng,et al.A load balance oriented optimization algorithm for electric power OTN route[J].Guangdong Electric Power,2018,31(5):42-48.
[5]狄立,郑征,夏旻,等.基于快速密度聚类的电力通信网节点重要性评估[J].电力系统保护与控制,2016,44(13):90-95.DI Li,ZHENG Zheng,XIA Min,et al.Node importance evaluation of electric power communication network based on fast density clustering[J].Power System Protection and Control,2016,44(13):90-95.
[6]朱国威,代荡荡,郭岳,等.基于电网控制业务的路由策略[J].广东电力,2018,31(7):84-89.ZHU Guowei,DAI Dangdang,GUO Yue,et al.Routing strategy based on power grid control business[J].Guangdong Electric Power,2018,31(7):84-89.
[7]李映雪,朱文广,黄超,等.基于自组织临界性的电力异构通信网络稳定性研究[J].电力系统保护与控制,2017,45(5):118-122.LI Yingxue,ZHU Wenguang,HUANG Chao,et al.Research on power heterogeneous communications network stability with SOC[J].Power System Protection and Control,2017,45(5):118-122.
[8]张从武,胡坚波.异构无线网络融合关键问题和发展趋势探讨[J].信息通信技术,2012,6(3):13-17.ZHANG Congwu,HU Jianbo.Key problems and the developing trend of heterogeneous wireless network convergence[J].Information and Communications Technologies,2012,6(3):13-17.
[9]孙岩,马华东.无线多媒体传感器网络Qo S保障问题[J].电子学报,2008(7):1412-1420.SUN Yan,MA Huadong.The QoS guarantee problem for wireless multimedia sensor networks[J].Chinese Journal of Electronics,2008(7):1412-1420.
[10]孙大为,常桂然,李凤云,等.一种基于免疫克隆的偏好多维Qo S云资源调度优化算法[J].电子学报,2011,39(8):1824-1831.SUN Dawei,CHANG Guiran,LI Fengyun,et al.Optimizing multi-dimensional QoS cloud resource scheduling by immune clonal with preference[J].Chinese Journal of Electronics,2011,39(8):1824-1831.
[11]熊润群,罗军舟,宋爱波,等.云计算环境下QoS偏好感知的副本选择策略[J].通信学报,2011,32(7):93-102.XIONG Runqun,LUO Junzhou,SONG Aibo,et al.QoSpreference-aware replica selection strategy in cloud computing[J].Journal on Communications,2011,32(7):93-102.
[12]WANG X F,CHEN M,TALEB T,et al.Cache in the air:exploiting content caching and delivery techniques for5gsystems[J].IEEE Communications Magazine,2014,52(2):131-139.
[13]JEON S W,HONG S N,JI M,et al.Caching in wireless multihop device-to-device networks[C]//IEEEInternational Conference on Communication,June 8-12,2015,London,UK:6732-6737.
[14]KANG H J,KANG C G.Mobile device-to-device(d2d)content delivery networking:a design and optimization framework[J].Journal of Communications and Networks,2014,16(5):568-577.
[15]KANG H J,PARK K Y,CHO K,et al.Mobile caching policies for device-to-device(d2d)content delivery networking[C]//IEEE Conference on Computer Communications Workshops,April 27-May 2,2014,Toronto,Canada:299-304.
[16]CHA M,KWAK H,RODRIGUEZ P,et al.Analyzing the video popularity characteristics of large scale user generated content systems[J].IEEE/ACM Transactions on Networking(TON),2009,17(5):1357-1370.
[17]GOLREZAEI N,DIMAKIS A G,MOLISCH A F.Scaling behavior for device-to-device communications with distributed caching[J].IEEE Transactions on Information Theory,2014,60(7):4286-4298.
[18]GOLREZAEI N,DIMAKIS A G,MOLISCH A F.Wireless device-to-device communications with distributed caching[C]//IEEE International Symposium on Information Theory Proceedings,July 1-6,2012,Cambridge,UK:2781-2785.
[19]GOLREZAEI N,DIMAKIS A G,MOLISCH A F.Device-to-device collaboration through distributed storage[C]//IEEE Global Communications Conference(GLOBECOM),December 3-7,2012,Anaheim,USA:2397-2402.
[20]MALAK D,AL-SHALASH M.Optimal caching for device-to-device content distribution in 5g networks[C]//IEEE Globecom Workshops(GC Wkshps),December8-12,2014,Austin,USA:863-868.
[21]ZHANG H,XUE K,HONG P.Facing the signaling storm:a method with stochastic concept[C]//2014 Sixth International Conference on Wireless Communications and Signal Processing(WCSP),October 23-25,2014,Hefei,China:1-6.
[22]ABDELRAHMAN O,GELENBE E.Signalling storms in3g mobile networks[C]//IEEE International Conference on Communications(ICC),June 10-14,2014,Sydney,Australia:1017-1022.
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