智慧标识网络中基于族群协作的缓存机制

doi:10.11959/j.issn.2096-3750.2018.00078

Abstract

Abstract:

Smart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the development of industrial Internet of things(IoT) could be provided.To promote content delivery in resource-constrained IoT,caching function was introduced in network components by SINET,and the bandwidth waste caused by traffic redundancy in resource-constrained node could be reduced.Therefore,how to efficiently cache content became an important research topic.Based on SINET architecture,a crowd-based collaboration cache (C2Cache) mechanism was proposed in this scheme.According to the actual network topology,the caching function group was dynamically created and optimized by C2Cache,and a function group as crowd minimum unit to execute the maximum benefit cache (MBC) algorithm was defined to maximize the caching space efficiency.With the self-developed emulation system,named EmuStack,the performance of C2Cache was evaluated.The experimental results show that,comparing with LCE,Random,Prob Cache,LCD and Greedy caching mechanisms,the cache hit rate can be improved effectively,then the average access time can be reduced significantly by C2Cache.In the simulated network scenario,the performance increases 15% to 30%.

Key words: smart identifier network, in-network cache, crowd-based collaboration, maximum benefit cache

CLC Number:

TP393

Haifeng LI,Wei QUAN,Nan CHENG,Hongke ZHANG,Xuemin SHEN. Crowd-based collaboration caching mechanism in smart identifier network[J]. Chinese Journal on Internet of Things, 2018, 2(4): 5-13.

Figures/Tables 8

References 26

[1]	张宏科, 程煜钧, 杨冬 . 工业网络技术现状与展望[J]. 物联网学报, 2017,1(1): 13-20.
	ZHANG H K , CHENG Y J , YANG D . State of the art of industrial network technologies:a review and outlook[J]. Chinese Journal on Internet of Things, 2017,1(1): 13-20.
[2]	CHENG N , ZHOU H , LEI L ,et al. Performance analysis of vehicular device-to-device underlay communication[J]. IEEE Transactions on Vehicular Technology, 2017,66(6): 5409-5421.
[3]	张更新, 揭晓, 曲至诚 . 低轨卫星物联网的发展现状及面临的挑战[J]. 物联网学报, 2017,1(3): 6-7.
	ZHANG G X , JIE X , QU Z C . Development status and challenges of LEO IoT[J]. Chinese Journal on Internet of Things, 2017,1(3): 6-7.
[4]	XU C , QUAN W , VASILAKOS A V ,et al. Information-centric cost-efficient optimization for multimedia content delivery in mobile vehicular networks[J]. Computer Communications, 2016,99(1): 93-106.
[5]	ZHANG H , QUAN W , CHAO H C ,et al. Smart identifier network:a collaborative architecture for the future Internet[J]. IEEE Network, 2016,30(3): 46-51.
[6]	KREUTZ D , RAMOS F M V , ESTEVES V P ,et al. Software-defined networking:a comprehensive survey[J]. Proceedings of the IEEE, 2014,103(1): 10-13.
[7]	QUAN W , LIU Y , ZHANG H ,et al. Enhancing crowd collaborations for software defined vehicular networks[J]. IEEE Communications Magazine, 2017,55(8): 80-86.
[8]	RAMIREZ W , MASIP-BRUIN X , YANNUZZI M ,et al. A survey and taxonomy of ID/locator split architectures[J]. Computer Networks, 2014,60(2): 13-33.
[9]	XYLOMENOS G , VERVERIDIS C N , SIRIS V A ,et al. A survey of information-centric networking research[J]. IEEE Communications Surveys ＆ Tutorials, 2014,16(2): 1024-1049.
[10]	QUAN W , XU C , GUAN J ,et al. Scalable name look up with adaptive prefix bloom filter for named data networking[J]. IEEE Communications Letters, 2014,18(1): 102-105.
[11]	张宏科, 罗洪斌 . 智慧协同网络体系基础研究[J]. 电子学报, 2013,41(7): 1249-1254.
	ZHANG H K , LUO H B . Fundamental research on theories of smart and cooperative networks[J]. Acta Electronica Sinica, 2013,41(7): 1249-1254.
[12]	LI H , ZHANG H . A survey on smart collaborative identifier networks[J]. China Communications, 2018,15(3): 168-185.
[13]	ZHANG H , DONG P , QUAN W ,et al. Promoting efficient communications for high-speed railway using smart collaborative networking[J]. IEEE Wireless Communications, 2015,22(6): 92-97.
[14]	权伟, 张宏科 . 未来互联网体系的研究现状、热点与探索实践[J]. 中国科学:信息科学, 2017,47(6): 804-810.
	QUAN W , ZHANG H K . Research status,hotspot and exploration practice of future Internet system[J]. Scientia Sinica Informations, 2017,47(6): 804-810.
[15]	兰巨龙, 王鹏, 申涓 ,等. 大规模接入汇聚网络的抵近式缓存技术研究[J]. 物联网学报, 2017,1(1): 50-54.
	LAN J L , WANG P , SHEN J ,et al. Research on push cache of large-scale converging access convergence networks[J]. Chinese Journal on Internet of Things, 2017,1(1): 50-54.
[16]	QUAN W , LIU Y , JIANG X ,et al. Intelligent popularity-aware content caching and retrieving in highway vehicular networks[J]. Eurasip Journal on Wireless Communications and Networking, 2016(1):200.
[17]	ZHANG S , HE P , SUTO K ,et al. Cooperative edge caching in user-centric clustered mobile networks[J]. IEEE Transactions on Mobile Computing, 2018,17(8): 1791-1805.
[18]	ZHANG S , ZHANG N , YANG P ,et al. Cost-effective cache deployment in mobile heterogeneous networks[J]. IEEE Transactions on Vehicular Technology, 2017,66(12): 11264-11276.
[19]	YANG C , YAO Y , CHEN Z ,et al. Analysis on cache-enabled wireless heterogeneous networks[J]. IEEE Transactions on Wireless Communications, 2016,15(1): 131-145.
[20]	LI H , ZHOU H , ZHANG H ,et al. Emustack:an openstack-based DTN network emulation platform (extended version)[J]. Mobile Information Systems, 2016(3): 1-15.
[21]	QUAN W , WANG K , LIU Y ,et al. Software-defined collaborative offloading for heterogeneous vehicular networks[J]. Wireless Communications ＆ Mobile Computing, 2018(99): 1-9.
[22]	LAOUTARIS N , CHE H , STAVRAKAKIS I . The LCD interconnection of LRU caches and its analysis[J]. Performance Evaluation, 2006,63(7): 609-634.
[23]	PSARAS I , WEI K C , PAVLOU G . Probabilistic in-network caching for information-centric networks[C]// Edition of the ICN Workshop on Information-Centric Networking,August 17,2012,Helsinki,Finland. New York:ACM, 2012: 55-60.
[24]	MING Z , XU M , WANG D . Age-based cooperative caching in information-centric networking[C]// International Conference on Computer Communication and Networks,August 4-7,2014,Shanghai,China. Piscataway:IEEE Press, 2012: 1-8.
[25]	BANERJEE B , SEETHARAM A , TELLAMBURA C . Greedy caching:a latency-aware caching strategy for information-centric networks[C]// IFIP Networking Conference,June 12-16,2017,Stockholm,Sweden. Piscataway:IEEE Press, 2018.
[26]	CALVERT K I , DOAR M B , ZEGURA E W . Modeling Internet topology[J]. IEEE Communications Magazine, 1997,35(6): 160-163.

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性能测试参数	设定值
网络拓扑	Tier
用户数量	300
广域网链路时延	10 ms
广域网链路速率	100 Mbit/s
广域网链路价格	1 /GB
城域网链路时延	5 ms
城域网链路速率	1 Gbit/s
城域网链路价格	0.1 /GB
局域网链路时延	1 ms
局域网链路速率	10 Gbit/s
局域网链路价格	0
内容数据分组数量	80 000 000
相对缓存大小	0~2%
Zipf(a,n)分布中α参数	0.6、0.9

Crowd-based collaboration caching mechanism in smart identifier network

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