物联网云服务的动态流量控制策略研究

doi:10.11959/j.issn.2096-3750.2018.00082

物联网学报 ›› 2018, Vol. 2 ›› Issue (4): 61-67.doi: 10.11959/j.issn.2096-3750.2018.00082

物联网云服务的动态流量控制策略研究

凌其能,王一川,杨贾冰,郑侃

北京邮电大学信息与通信工程学院，北京 100876

修回日期:2018-11-15 出版日期:2018-12-01 发布日期:2019-01-03
作者简介:凌其能（1994-），男，北京邮电大学硕士生，主要研究方向为物联网、智能云计算等。|王一川（1994-），男，北京邮电大学硕士生，主要研究方向为物联网、智能云计算等。|杨贾冰（1994-），男，北京邮电大学硕士生，主要研究方向为物联网、智能云计算等。|郑侃（1974-），男，北京邮电大学教授、博士生导师，IEEE 高级会员、IET 会士，主要研究方向为车联网、无线网络安全、智能计算等。
基金资助:
国家自然科学基金资助项目(61671089)

Research on dynamic traffic control strategy of IoT cloud service

Qineng LING,Yichuan WANG,Jiabing YANG,Kan ZHENG

School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China

Revised:2018-11-15 Online:2018-12-01 Published:2019-01-03
Supported by:
The National Natural Science Foundation of China(61671089)

摘要/Abstract

摘要：

在云服务系统中，流量控制对于保证服务质量非常重要，提出了一种动态两级流量控制策略。利用基于实际云服务系统的改进最小连接数（least connection）算法，计算服务节点的综合负载，对各个服务节点进行负载均衡，并合理分配负载。在服务节点内部，提出Zookeeper动态分级调整阈值的策略，对流量进行动态控制。实际云服务系统性能测试表明，采用动态两级流量控制策略，服务节点的RPS明显优于未采用该策略的RPS，且服务节点的资源利用率有所提高。

关键词: 负载均衡, 动态调整, 流量控制, 云服务系统

Abstract:

Flow control is very important to ensure quality of service in cloud service system.A dynamic two-level flow control strategy was proposed.Using the improved minimum connection number algorithm based on the actual cloud service system,the integrated load of the service node was calculated,load balancing was performed on each service node and the load was distributed reasonably.Within the service node,a dynamic hierarchical threshold adjustment strategy was proposed to control traffic dynamically.The actual cloud service system performance test shows that with the dynamic two-level flow control strategy,the RPS of the service node is significantly better than the RPS without the strategy,and the resource utilization of the service node is improved.

Key words: load balancing, dynamic adjustment, flow control, cloud service system

中图分类号:

TN915.07

凌其能,王一川,杨贾冰,郑侃. 物联网云服务的动态流量控制策略研究[J]. 物联网学报, 2018, 2(4): 61-67.

Qineng LING,Yichuan WANG,Jiabing YANG,Kan ZHENG. Research on dynamic traffic control strategy of IoT cloud service[J]. Chinese Journal on Internet of Things, 2018, 2(4): 61-67.

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参考文献 16

[1]	ZHENG K , LIU F , LEI L ,et al. Stochastic performance analysis of a wireless finitestate Markov channel[J]. IEEE Transactions on Wireless Communications, 2013,12(2): 782-793.
[2]	ZHENG K , YANG Z , ZHANG K ,et al. Big data-driven optimization for mobile networks toward 5G[J]. IEEE Network, 2016,30(1): 44-51.
[3]	SYAL A S , GUPTA A . Internet of things:review on security of novel technology[C]// 2017 International Conference on Smart Technologies For Smart Nation (SmartTechCon),August 17-19,2017,Bangalore,India. Piscataway:IEEE Press, 2017: 1405-1410.
[4]	LEE B , TIM G , ROBERT C P ,et al. DRAF-T cloud computing synopsis and recommendations[J]. Recommendations of the National Institute of Standards and Technology, 2011,(800):46.
[5]	SAMAL P , MISHRA P . Analysis of variants in Round Robin algorithms for load balancing in cloud computing[J]. International Journal of Computer Science and Information Technologies, 2013,4(3): 416-419.
[6]	KASHYAP D , VIRADIYA J . A survey of various load balancing algorithms in cloud computing[J]. International Journal of Scientific ＆Technology Research, 2014,3(11): 115-119.
[7]	AL NUAIMI K , MOHAMED N , AL NUAI-MI M ,et al. A survey of load balancing in cloud computing:challenges and algorithms[C]// Network Cloud Computing and Applications (NCCA),December 3-4,2012,London,UK. Piscataway:IEEE Press, 2012: 137-142.
[8]	GEBREHIWOT M E , AALTO S , LASSILA P . Energy efficient load balancing in web server clusters[C]// 2017 29th International Teletraffic Congress(ITC 29),September 4-8,2017,Genoa,Italy. Piscataway:IEEE Press, 2017(3): 13-18.
[9]	LU Y , XIE Q , KLIOT G ,et al. Join-Idle-Qu-eue:a novel load balancing algorithm for dynamically scalable web services[J]. Performance Evaluation, 2011,68(11): 1056-1071.
[10]	CHOUDHARY M , CHANDRA D , GUPTA D . Load balancing algorithm using JIQ methodology for virtual machines[C]// 2017 International Conference on Computing,Communication and Automation(ICCCA),May 5-6,2017,Greater Noida,India. Piscataway:IEEE Press, 2017: 730-735.
[11]	KIM W , KIM S D , LEE E ,et al. Adoption issues for cloud computing[C]// Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia,December 14-16,2009,Kuala Lumpur,Malaysia. New York:ACM, 2009: 2-5.
[12]	HOU L , ZHAO S , XIONG X ,et al. Internet of things cloud:architecture and implementation[J]. IEEE Communications Magazine, 2016,54(12): 32-39.
[13]	ZHENG K , MENG H , CHATZIMISIOS P ,et al. An SMDP-based resource allocation in vehicular cloud computing systems[J]. IEEE Transactions on Industrial Electronics, 2015,62(12): 7920-7928.
[14]	T?RNEBERG W , CHANDRASEKARAN V , HUMPHREY M . Experiences creating a framework for smart traffic control using AWS IoT[C]// Proceedings of the 9th International Conference on Utility and Cloud Computing,December 6-9,2016,Shanghai,China. New York:ACM, 2016: 63-69.
[15]	HALOI S . Apache zookeeper essentials[M]. Bermingham: Packt Publishing LimitedPress, 2015.
[16]	YIN N , HLUCHYJ M G . Analysis of the leaky bucket algorithm for on-off data sources[J]. Journal of High Speed Networks, 1993,2(1): 81-98.

CPU	Intel(R) Xeon(R) CPU E5-2680
Clock speed	2.70 GHz
RAM	8 GB
Host	1
Core	5

物联网云服务的动态流量控制策略研究

Research on dynamic traffic control strategy of IoT cloud service

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