SIMULASI DAN UJI KINERJA ALGORITMA JOHNSON UNTUK PENENTUAN RUTE TERBAIK PADA JARINGAN SOFTWARE DEFINED NETWORK

Muhammad Ilhamsyah, Rumani Mangkudjaja, Sofia Naning Hertiana

Abstract


Since the development of computer network technology is larger and more complex, computer network technology which is more flexible and easier to configure is now required. SDN (Software Defined Network) is one of the solutions for the computer network requirement which is now larger and more complex. SDN offers the network concept which is different from the traditional network. In the traditional network, control plane and data plane are in one device; it is different from the concept offered by SDN in which control plane and data plane are designed separately on SDN. SDN concept has simplified the existing network concept since the network control on a controller is programmable and it makes the network easy to configure and more flexible.

In this research, the researcher applied the routing service using the shortest path-searching method of Johnson algorithm on SDN network and analyzed the network performance. The implementation of Johnson algorithm was used on the network created on mininet emulator. The OpenFlow protocol will be used on this network.

The result of performance test on SDN network in which the routing service has been applied with Johnson algorithm shows that the larger the network, the more time required for convergence; routing is flexible since it can adapt to the change on network.



Keywords


SDN; Routing; mininet; quality of service; Johnson algorithm

References


Fonseca, P., Bennesby, R., Mota, E., and Passito, A. (2012). A replication component for resilient openflow-based networking. IEEE.

S, V., Rustagi, R.P., and Murthy, K.N.B. (2014). Network Management and Performance Monitoring using Software Defined Networks. IEEE.

Lantz, B., Heller, B., and McKeown, N. (2010). A Network in a Laptop: Rapid Prototyping for Software-Defined Network. ACM.

Msahil, M., Pujolle, G., Serhrenchni, A., Fadlallah, A., and Guenane, F. (2012). Openflow and on demand Networks.

Bindhu, M., and G., P.R. (2015). Load Balancing and Congestion Control in Software Defined Networking using the Extended Johnson Algorithm for Data Centre. Research India Publications.

S, V., Rustagi, R.P., and Murthy, K.N.B. (2014). Network Management and Performance Monitoring using Software Defined Networks. IEEE.

Seitz, N., & NTIA/ITS. (2003). ITU-T QoS Standards for IP-Based Networks. IEEE Communications Magazine.


Full Text: PDF

Refbacks

  • There are currently no refbacks.


Jumlah Pengunjung :

Web
Analytics

View My Stats