Smart Flow Steering Agent for End-to-End Delay Improvement in Software-Defined Networks
To ensure fault tolerance and distributed management, distributed protocols are employed as one of the major architectural concepts underlying the Internet. However, inefficiency, instability and fragility could be potentially overcome with the help of the novel networking architecture called softwa...
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| Language: | English |
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University of Baghdad, College of Science for Women
2021-03-01
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| Series: | مجلة بغداد للعلوم |
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| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4300 |
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| author | Omar F. Hussain Bilal R. Al-Kaseem Omar Z. Akif |
| author_facet | Omar F. Hussain Bilal R. Al-Kaseem Omar Z. Akif |
| author_sort | Omar F. Hussain |
| collection | DOAJ |
| description | To ensure fault tolerance and distributed management, distributed protocols are employed as one of the major architectural concepts underlying the Internet. However, inefficiency, instability and fragility could be potentially overcome with the help of the novel networking architecture called software-defined networking (SDN). The main property of this architecture is the separation of the control and data planes. To reduce congestion and thus improve latency and throughput, there must be homogeneous distribution of the traffic load over the different network paths. This paper presents a smart flow steering agent (SFSA) for data flow routing based on current network conditions. To enhance throughput and minimize latency, the SFSA distributes network traffic to suitable paths, in addition to supervising link and path loads. A scenario with a minimum spanning tree (MST) routing algorithm and another with open shortest path first (OSPF) routing algorithms were employed to assess the SFSA. By comparison, to these two routing algorithms, the suggested SFSA strategy determined a reduction of 2% in packets dropped ratio (PDR), a reduction of 15-45% in end-to-end delay according to the traffic produced, as well as a reduction of 23% in round trip time (RTT). The Mininet emulator and POX controller were employed to conduct the simulation. Another advantage of the SFSA over the MST and OSPF is that its implementation and recovery time do not exhibit fluctuations. The smart flow steering agent will open a new horizon for deploying new smart agents in SDN that enhance network programmability and management. |
| format | Article |
| id | doaj-art-6b0f20e018324a79886e331d11ecc09f |
| institution | DOAJ |
| issn | 2078-8665 2411-7986 |
| language | English |
| publishDate | 2021-03-01 |
| publisher | University of Baghdad, College of Science for Women |
| record_format | Article |
| series | مجلة بغداد للعلوم |
| spelling | doaj-art-6b0f20e018324a79886e331d11ecc09f2025-08-20T03:14:47ZengUniversity of Baghdad, College of Science for Womenمجلة بغداد للعلوم2078-86652411-79862021-03-0118110.21123/bsj.2021.18.1.0163Smart Flow Steering Agent for End-to-End Delay Improvement in Software-Defined NetworksOmar F. Hussain0Bilal R. Al-Kaseem 1Omar Z. Akif 2University of BaghdadAl-Iraqia UniversityUniversity of BaghdadTo ensure fault tolerance and distributed management, distributed protocols are employed as one of the major architectural concepts underlying the Internet. However, inefficiency, instability and fragility could be potentially overcome with the help of the novel networking architecture called software-defined networking (SDN). The main property of this architecture is the separation of the control and data planes. To reduce congestion and thus improve latency and throughput, there must be homogeneous distribution of the traffic load over the different network paths. This paper presents a smart flow steering agent (SFSA) for data flow routing based on current network conditions. To enhance throughput and minimize latency, the SFSA distributes network traffic to suitable paths, in addition to supervising link and path loads. A scenario with a minimum spanning tree (MST) routing algorithm and another with open shortest path first (OSPF) routing algorithms were employed to assess the SFSA. By comparison, to these two routing algorithms, the suggested SFSA strategy determined a reduction of 2% in packets dropped ratio (PDR), a reduction of 15-45% in end-to-end delay according to the traffic produced, as well as a reduction of 23% in round trip time (RTT). The Mininet emulator and POX controller were employed to conduct the simulation. Another advantage of the SFSA over the MST and OSPF is that its implementation and recovery time do not exhibit fluctuations. The smart flow steering agent will open a new horizon for deploying new smart agents in SDN that enhance network programmability and management.https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4300SDN; Smart Agent; Traffic Steering; E2E Delay |
| spellingShingle | Omar F. Hussain Bilal R. Al-Kaseem Omar Z. Akif Smart Flow Steering Agent for End-to-End Delay Improvement in Software-Defined Networks مجلة بغداد للعلوم SDN; Smart Agent; Traffic Steering; E2E Delay |
| title | Smart Flow Steering Agent for End-to-End Delay Improvement in Software-Defined Networks |
| title_full | Smart Flow Steering Agent for End-to-End Delay Improvement in Software-Defined Networks |
| title_fullStr | Smart Flow Steering Agent for End-to-End Delay Improvement in Software-Defined Networks |
| title_full_unstemmed | Smart Flow Steering Agent for End-to-End Delay Improvement in Software-Defined Networks |
| title_short | Smart Flow Steering Agent for End-to-End Delay Improvement in Software-Defined Networks |
| title_sort | smart flow steering agent for end to end delay improvement in software defined networks |
| topic | SDN; Smart Agent; Traffic Steering; E2E Delay |
| url | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4300 |
| work_keys_str_mv | AT omarfhussain smartflowsteeringagentforendtoenddelayimprovementinsoftwaredefinednetworks AT bilalralkaseem smartflowsteeringagentforendtoenddelayimprovementinsoftwaredefinednetworks AT omarzakif smartflowsteeringagentforendtoenddelayimprovementinsoftwaredefinednetworks |