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[ "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。" ]
纸质出版日期:2018-12-30,
网络出版日期:2018-12,
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凌其能, 王一川, 杨贾冰, 等. 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, et al. Research on dynamic traffic control strategy of IoT cloud service. [J]. Chinese journal on internet of things, 2018, 2(4): 61-67.
凌其能, 王一川, 杨贾冰, 等. 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. DOI: 10.11959/j.issn.2096-3750.2018.00082.
QINENG LING, YICHUAN WANG, JIABING YANG, et al. Research on dynamic traffic control strategy of IoT cloud service. [J]. Chinese journal on internet of things, 2018, 2(4): 61-67. DOI: 10.11959/j.issn.2096-3750.2018.00082.
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。
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.
负载均衡动态调整流量控制云服务系统
load balancingdynamic adjustmentflow controlcloud service system
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