基于边缘计算的物联网网络流量测量方法研究
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作者单位:

1.成都航空职业技术学院 汽车工程学院,成都 610100;2.成都盘沣科技有限公司,成都 610100;3.浙江师范大学物理与电子信息工程学院,浙江 321004

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TP393

基金项目:

国家自然科学(Nos. 61673189, 71671020)。


An Edge Computing-Based Traffic Measurement Approach to the Internet of Things
Author:
Affiliation:

1.Automotive Engineering, Chengdu Aeronautic Polytechnic, Chengdu 610100, China;2.Chengdu Panfeng Technology LTD., Co., Chengdu 610100, China;3.College of Physics and Electronic Information Engineering, Zhejiang Normal University, Zhejiang 321004, China

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    摘要:

    在物联网中,边缘计算能够提供物联网计算的实时性和减少网络中数据的传输量。为了适应物联网技术的发展,本文研究了采用软件定义网络(SDN)架构的物联网网络,并利用SDN提供的方法对网络中的流量进行测量。细粒度流量测量可以更准确地描述网络中的流量,但同时也需要消耗大量的测量开销。为了减少测量过程中产生的开销并获得近似的细粒度测量,本文提出了一种基于边缘计算的物联网网络流量测量方案。新测量架构采用粗粒度测量和插值优化等方法进行测量。首先,在本文中我们采用随机抽样方法通过OpenFlow协议快速获得粗粒度的网络流量测量。接着,对粗粒度的网络流量进行插值恢复,并利用多约束的优化方法对插值结果进行优化,直到找到满足条件约束的最优细粒度流量测量结果。最后,本文通过实验验证了所提出的测量方法的可行性和有效性。

    Abstract:

    In the Internet of Things (IoT), edge computing can provide real-time performance of IoT computing and reduce the amount of data transmitted in the network. In order to satisfy the development of the IoT technology, we study the IoT network using software defined network (SDN) architecture in this paper, and use the method provided by SDN to measure the traffic in the network. Fine-grained traffic measurement can more accurately describe traffic in the network, but it also consumes a lot of measurement overhead. In order to reduce the overhead generated in the measurement process and obtain approximate fine-grained measurements, this paper proposes an IoT network traffic measurement scheme based on edge computing. The new measurement architecture uses coarse-grained measurements and interpolation optimization to measure. First, we use the random sampling method to measure coarse-grained network traffic through OpenFlow protocol. Then, the coarse-grained network traffic is interpolated and restored, and the multi-constraint optimization method is used to optimize the interpolation result until the optimal fine-grained flow measurement result that satisfies the condition constraint is found. Finally, the feasibility and effectiveness of the proposed measurement method are verified by experiments.

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  • 收稿日期:2019-10-13
  • 最后修改日期:2019-11-12
  • 录用日期:2019-11-14
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