Performance model of Future Network OpenFlow soft switch based on KPLS
| Autor: | Xie Peizhang, Wang Jingyu, Zhou Jungui |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
OpenFlow
Artificial neural network Computer science Network packet ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 05 social sciences Real-time computing 050801 communication & media studies 020206 networking & telecommunications Throughput 02 engineering and technology 0508 media and communications Packet loss Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Forwarding plane Key (cryptography) Software-defined networking |
| Zdroj: | 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). |
| DOI: | 10.1109/imcec.2016.7867368 |
| Popis: | SDN (Software Defined Network) is the important part of Future Network, and the OpenFlow soft switch which separates the control plane from the data plane is the key instrument. In this paper, the OpenFlow switch are analyzed, the main performance parameters are throughput, packet loss and time-delay, the influence factors are load, packet size and the transforming packet quantity. Kernel Partial Least Squares (KPLS) algorithm is proposed and applied to study the performance model of the OpenFlow soft switch. The nonlinear relationship of the measured data was transformed into quasi-linear, the simulation of the algorithm shows that the performance model has a good performance |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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