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A topology detection method for cloud computing network

A technology of cloud computing network and detection method, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problems of large data flow, complex topology structure, high degree of service level differentiation, etc.

Active Publication Date: 2017-06-16
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the network topology of the backend of the cloud computing system is different from the general network topology characteristics: its server nodes are widely distributed, the data flow is large, the service level is highly differentiated, the scalability and reliability requirements are strong, and the topology structure is relatively complex. There is a need for re-study

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  • A topology detection method for cloud computing network
  • A topology detection method for cloud computing network

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Embodiment Construction

[0027] 1. Build the Openstack real environment according to the preset topology diagram.

[0028] 2. When performing the first-layer network topology detection, randomly select a virtual machine under each router to number and program it into the corresponding socket program, and use the virtual machine under the router to receive a large data packet and two small data packets respectively. , measure the data delay between each pair of routers and computing nodes, and obtain the time difference of each pair of small data packets. Inferring through the MLT algorithm, (1) choose a random start state s 0 =(T 0 + u 0 ); (2) enter the next state s 1 , to get the minimum value: (3) Repeat steps 1 and 2 until a topology map is established.

[0029] 3. When performing second-layer network topology detection, install MPI for each router virtual machine, and write the corresponding time test program, which is determined by the formula T comm =T S +mT W Measuring nodes send data...

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Abstract

The invention provides a topology detection method based on a cloud computing network, which is suitable for detecting network topology in a cloud computing network environment. The invention divides the topology detection into two layers for detection respectively. The node is formed, and the time delay is detected by sending socket "sandwich" packets; the second layer is composed of the distribution of virtual machines under the computing nodes in the cloud computing environment, and the present invention uses MPI to detect the communication time delay between the virtual machines, and After the corresponding calculation, the merge and cluster algorithm is used to obtain the distribution of the virtual machine. Through the present invention, the complete topology structure in the entire cloud computing network environment can be relatively completely detected.

Description

technical field [0001] The present invention is applicable to the cloud network environment. Aiming at the characteristics of the cloud environment network, the cloud environment topology is divided into the first layer topology composed of routers and computing nodes and the second layer topology composed of the distribution of virtual machines. structure, and use the corresponding method to detect the topology. Background technique [0002] As the network is more and more closely connected with people's life, network users are also paying more and more attention to the performance characteristics of the network and the degree to which the benefits they get through the network can be guaranteed. On the one hand, the modern network management system is required to develop more perfectly and control the behavior of the network better. On the other hand, it is required to accurately detect and conveniently regulate network performance parameters. To this end, various network...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/751H04L29/08H04L45/02
Inventor 王少辉董从翔肖甫韩志杰王汝传刘佳
Owner NANJING UNIV OF POSTS & TELECOMM