Analysis of Phase Change Flow and Network Performance on Complex Network Model

DOI

10.2991/icamcs-16.2016.141How to use a DOI?

Keywords

Complex network, phase change flow, network index, data simulation

Abstract

In this paper, we discuss the phase change flow of network and the change law of the network performance under different traffic input rates. Based on the stability conditions of the nodes and the system, the approximate expressions of the phase change flow of the network traffic are given. We also derive the analytical results of the queue length, average delay, network throughput and other performance indicators and the deviation degree of the network behavior on the stability of the network behavior. At the same time, we carry out the simulation of the data according to the actual situation, and the simulation results show that (1) The global behavior of heterogeneous network with heterogeneous topology has local characteristics from the free flow regime to the congestion state. (2) It is a feasible method to improve the network performance by transforming the network topology to improve the value of the network traffic flow. (3) As the network load increases, the global behavior of the network is directly from the free flow state to the global congestion state. There is no transition state between the two states. (4) When the flow rate exceeds the global phase transition, the queue length and the average delay of the packet are increased dramatically, and the maximum value of the network throughput is quickly reduced to zero.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liping Zhang
PY  - 2016/06
DA  - 2016/06
TI  - Analysis of Phase Change Flow and Network Performance on Complex Network Model
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 693
EP  - 697
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.141
DO  - 10.2991/icamcs-16.2016.141
ID  - Zhang2016/06
ER  -