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Traffic Optimization using Link Weight Routing Algorithm in SDN-based Fog Platforms

Paranjpe, Shantanu Dileep (2020) Traffic Optimization using Link Weight Routing Algorithm in SDN-based Fog Platforms. Masters thesis, Dublin, National College of Ireland.

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Abstract

Fog Computing is a novel paradigm that assists in overcoming the difficulties related to handling a large amount of sensor data by segregating the applications and services in close proximity to the user. The prime benefits of fog computing are that data is locally stored on the fog nodes instead of transferring the request to the cloud servers which leads to an increase in the latency time. Furthermore, as the data generated by the sensor nodes starts to grow at a significant rate, it leads to network congestion, and to control the network packet loss and network congestion, effective techniques are required to transmit the data to the destination node with minimum transmission overhead and latency. In this project, Software Defined Networks have been integrated into the wireless fog topology generated in the Network Simulator 2. The SDN Controller gets initialized at the beginning of the simulation where it gathers the data related to the network links and nodes. In addition to this, link weight routing algorithm is executed by the SDN controller. The algorithm instructs the Fog SDN controller to choose the best path among all the network links based on the signal strength of the links. The SDN controller assigns a weight using this algorithm and routes the traffic using the best path towards the destination. The performance of our proposed methodology is analyzed by altering the count of nodes in the topology. It also helps in resolving the limitations of IoT and helps in minimizing the transmission overhead and routing delay in the Fog based IoT networks with the use of the customized routing algorithm.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

T Technology > T Technology (General) > Information Technology > Cloud computing
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: Dan English
Date Deposited: 28 Jan 2021 17:06
Last Modified: 28 Jan 2021 17:06
URI: http://norma.ncirl.ie/id/eprint/4545

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