智慧标识网络中基于族群协作的缓存机制

李海峰; 权伟; 承楠; 张宏科; 沈学民

doi:10.11959/j.issn.2096-3750.2018.00078

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智慧标识网络中基于族群协作的缓存机制

理论与技术 | 更新时间：2024-06-05

- 智慧标识网络中基于族群协作的缓存机制
- Crowd-based collaboration caching mechanism in smart identifier network
- 物联网学报 2018年2卷第4期页码：5-13
- 作者机构：
  
  1. 北京交通大学下一代互联网互联设备国家工程实验室，北京 100044
  2. 加拿大滑铁卢大学电气与计算机工程学院，安大略滑铁卢N2L 3G1
- 作者简介：
  
  [ "李海峰（1989-），男，北京交通大学博士生，主要研究方向为未来网络体系、智慧标识网络、软件定义网络、网络功能虚拟化与云计算网络等。" ]
  [ "权伟（1987-），男，北京交通大学讲师，主要研究方向为未来网络体系及智慧车联网、智慧标识网络、软件定义网络、空天地网络、5G和车载网络等。" ]
  [ "承楠（1987-），男，滑铁卢大学博士后，主要研究方向为智慧车联网及 5G 网络、VANET协议设计和网络性能分析、车载移动数据卸载、自动驾驶和车载大数据等。" ]
  [ "张宏科（1957-），男，北京交通大学教授、下一代互联网互联设备国家工程实验室主任、国家“973”项目首席科学家，主要研究方向为未来网络体系理论及工程技术应用相关研究。" ]
  [ "沈学民（1958-），男，滑铁卢大学教授、加拿大皇家学会院士、加拿大工程院院士、加拿大工程研究院院士、IEEE Fellow，主要研究方向为车联网、无线通信、网络空间安全理论与应用等。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61602030);国家自然科学基金资助项目;The National Natural Science Foundation of China(91638204);国家重点研发计划资助项目;The National Key Research and Development Program of China(2016YFE0122900);中央高校基本科研业务费资助项目;The Fundamental Research Funds for the Central Universities(2016RC036)
- DOI：10.11959/j.issn.2096-3750.2018.00078
  中图分类号： TP393
- 纸质出版日期：2018-12-30，
  
  网络出版日期：2018-12，
- 稿件说明：
移动端阅览
李海峰, 权伟, 承楠, 等. 智慧标识网络中基于族群协作的缓存机制[J]. 物联网学报, 2018,2(4):5-13.

HAIFENG LI, WEI QUAN, NAN CHENG, et al. Crowd-based collaboration caching mechanism in smart identifier network. [J]. Chinese journal on internet of things, 2018, 2(4): 5-13.
李海峰, 权伟, 承楠, 等. 智慧标识网络中基于族群协作的缓存机制[J]. 物联网学报, 2018,2(4):5-13. DOI： 10.11959/j.issn.2096-3750.2018.00078.

HAIFENG LI, WEI QUAN, NAN CHENG, et al. Crowd-based collaboration caching mechanism in smart identifier network. [J]. Chinese journal on internet of things, 2018, 2(4): 5-13. DOI： 10.11959/j.issn.2096-3750.2018.00078.

摘要

智慧标识网络（SINET

smart identifier network）是一种新型网络架构，其通过动态协作服务资源、功能族群以及物理组件，有效提高了网络可扩展性、资源利用率和服务质量，为工业物联网发展提供了一种有效手段。为了提高资源受限网络中的传输效率，SINET在部分网络组件中引入缓存，可降低资源受限节点流量冗余带来的带宽浪费。针对智慧标识网络架构，提出了一种基于族群协作的缓存机制（C2Cache

crowd-based collaboration cache）。C2Cache通过感知网络实际拓扑，动态创建与优化缓存功能族群，并以族群为单元执行最大收益缓存（MBC

maximum benefit cache）算法，同一族群中优先缓存收益排名靠前的网络内容，从而实现缓存效率的最大化。通过自主研发的实验床模拟系统EmuStack，对C2Cache进行了性能分析与评估，实验结果表明，对比LCE、Random、ProbCache、LCD和Greedy主流缓存机制，C2Cache可有效提高缓存命中率，从而大幅度降低平均访问时延。在测试网络场景下，性能提升15%~30%。

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%.

关键词

智慧标识网络网络缓存基于族群的协作最大收益缓存

Keywords

smart identifier networkin-network cachecrowd-based collaborationmaximum benefit cache

references

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

LI H, ZHANG H . A survey on smart collaborative identifier networks[J]. China Communications, 2018,15(3): 168-185.

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.

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.

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.

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.

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.

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.

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.

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.

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.

LAOUTARIS N, CHE H, STAVRAKAKIS I . The LCD interconnection of LRU caches and its analysis[J]. Performance Evaluation, 2006,63(7): 609-634.

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.

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.

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.

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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