scholarly journals Experimental Evaluation of a SDN-DMM Architecture

2018 ◽  
Vol 10 (2) ◽  
pp. 52
Author(s):  
Rodrygo T. Cordova ◽  
Paulo R.L. Gondim ◽  
Jaime Lloret ◽  
Jose M. Jimenez

Mobility management has become a great challenge due to the exponential growth in the number of devices that can connect to home or visited networks, and the need for providing seamless mobility in future generation networks. SDN-DMM (Software Defined Network Architecture for Distributed Mobility Management) architecture has been proposed [11], allowing to separate control and data planes, for the distributed mobility management through bidirectional IP flows. This article reports on aspects related to the implementation of SDN-DMM, conducted with metrics as packet loss, throughput and handover latency, considered in a comparison involving traditional routing and SDN-DMM. The results show the SDN approach not only provides the intrinsic benefits of SDN in comparison with traditional architectures, but also deals with the distributed mode of mobility management in heterogeneous access networks in a simplified and efficient way.

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1519
Author(s):  
Madeeha Aman ◽  
Saeed Mahfooz ◽  
Muhammad Zubair ◽  
Neelam Mukhtar ◽  
Kanwal Imran ◽  
...  

The number of wireless services and devices have remarkably increased, especially since the introduction of smart phones. The population of mobile nodes (MNs) is now exceeding the traditional non-mobile nodes. Mobility is a key factor in mobile core networks as it is responsible for providing continuous communication when a MN is on the move. Currently, a centralized mobile core network architecture is implemented, which has certain limitations. Distributed mobility management (DMM) is often seen as a solution to the problems associated with centralized mobility management (CMM). Address and tunneling management are big challenges for current DMM-based mobility protocols. Keeping in mind the current advancement of mobile network architecture, this paper proposes a novel tunnel-free distributed mobility management support protocol intended for such an evolution. In addition, the performance of the existing DMM IPv6 mobility management protocols in the context of handover latency, handover blocking probability, and data packet loss is analyzed and compared to the proposed framework. The performance analyses show that the proposed tunnel-free method can reduce about 12% of handover latency, 71% of handover blocking probability, and 82% of data packet loss.


2016 ◽  
Vol 65 (2) ◽  
pp. 253-267 ◽  
Author(s):  
Muayad Khalil Murtadha ◽  
Nor Kamariah Noordin ◽  
Borhanuddin Mohd Ali ◽  
Fazirulhisyam Hashim

2013 ◽  
Vol 24 (2) ◽  
pp. 85-100 ◽  
Author(s):  
Javier Carmona-Murillo ◽  
José-Luis González-Sánchez ◽  
David Cortés-Polo ◽  
Francisco-Javier Rodríguez-Pérez

Repositor ◽  
2020 ◽  
Vol 2 (12) ◽  
pp. 1727
Author(s):  
Agung Dwi Rahmawan ◽  
Syaifuddin Syaifuddin ◽  
Diah Risqiwati

AbstrakSoftware Defined Network (SDN) merupakan sebuah konsep pendekatan baru dalam jaringan untuk mendesain, membangun serta mengelola suatu jaringan komputer. Konsep ini melakukan pemisahan terhadap Data Plane dan Control Plane. Dalam konsep SDN ini terdapat suatu komponen penting yang bertanggung jawab terhadap segala aturan dalam pengelolaan dan pendistribusian informasi terhadap seluruh perangkat jaringan yaitu Controller. Karena peran Controller yang penting maka performa dari Controller perlu diuji sehingga dapat mengetahui kemampuan dari Controller yang digunakan. Dalam penelitian ini dilakukan perbandingan analisis nilai Quality of Services (QoS) terhadap implementasi SDN menggunakan Controller Floodlight dan Ryu dengan menjalankan topologi linear dan mesh dalam jumlah Switch yang beragam mulai dari 4, 8, 12 dan 16 Switch. Selama pengujian berlangsung dari node sumber ke node tujuan yang sama juga dialiri variasi background traffic mulai dari 50 hingga 200 Mbps.  Hasil yang didapatkan yaitu Controller Ryu memiliki nilai QoS yang lebih baik dari floodlight pada semua topologi yang diujikan, nilai latency dan jitter pada floodlight lebih tinggi dari ryu serta cenderung meningkat pada traffic 100 Mbps Pada throughput, ryu memiliki nilai lebih tinggi dengan kisaran 856-933 Kbps. Sedangkan pada packet loss floodlight lebih tinggi sementara ryu hanya memiliki rata-rata packet loss sebesar 0,5%. Namun pada pengujian hanya pada jumlah switch, floodlight menjamin dalam tingkat respons serta pengelolaan data yang besar di dalam arsitektur jaringan SDN.Abstract Software Defined Network (SDN) is a concept of a new approach in networking to design, build and manage a computer network. This concept separates the Data Plane and Control Plane. In this SDN concept there is an important component that is responsible for all rules in the management and distribution of information to all network devices that is Controller. Due to the important Controller role then the performance of the Controller needs to be tested so as to know the ability of the Controller to use. In this study, a comparison of Quality of Service (QoS) value analysis on SDN implementation using Floodlight and Ryu Controller by running linear and mesh topology in varying number of Switches ranging from 4, 8, 12 and 16 Switch. During the test from the source node to the same destination node is also varies background traffic ranging from 50 to 200 Mbps. The result is that Controller Ryu has better QoS value than floodlight on all tested topologies, the latency and jitter values on the floodlight are higher than ryu and tend to increase on 100 Mbps traffic. Throughput On ryu. have a higher value with the range of 856-933 Kbps. While the packet loss floodlight higher while ryu only have an average packet loss of 0.5%. But on testing only on the number of switches, the floodlight guarantees great response rates and data management within the SDN network architecture.


2016 ◽  
Vol 17 (2) ◽  
pp. 47-57 ◽  
Author(s):  
Shiva Rowshanrad ◽  
Vajihe Abdi ◽  
Manijeh Keshtgari

Software Defined Network is new network architecture. One of its components is the controller, which is the intelligent part of SDN. Many controllers such as Floodlight, Open Daylight, Maestro, NOX, POX and many others are released. The question is which controller can perform better in which situations. Many works were done to compare controllers regarding architecture, efficiency and controllers’ features. In this paper, two of the most popular controllers, Floodlight and OpenDaylight are compared in terms of Network QoS parameters such as delay and loss in different topologies and network loads. This paper can help researchers to choose the best controller in different use cases such as clouds and multimedia. The results with 95% confidence interval show that OpenDaylight outperforms Floodlight in low loaded networks and also for tree topology in mid loaded networks in terms of latency. Floodlight can outperform OpenDaylight in heavy loaded networks for tree topology in terms of packet loss and in linear topology in terms of latency. There is no significant difference in performance of Floodlight and OpenDaylight controllers in other cases.


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