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Geo-Context Aware Routing Using Serverless Computing

Verma, Akash (2022) Geo-Context Aware Routing Using Serverless Computing. Masters thesis, Dublin, National College of Ireland.

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When a vehicle is in motion the change in tire pressure, speed, engine temperature, and other vehicle parameters can help understand the maintenance required, vehicle condition, driving style, etc. This data when processed in a cloud data center consumes more network. This also results in latency, which is a problem for real-time applications.

The shift towards autonomous vehicles is facing latency as a major blocker. This problem can be solved by moving the computing resource closer to the end devices. The service can be placed at a location that is preferably at the edge or close to the edge of the network instead of remotely. The dynamicity of topology for the ecosystem also results in ad hoc demands to serve the payloads on computing resources. The service placement also governs QoS and latency. It is a challenge to identify the node with the least latency, which has the service deployed and running.

Considering the latency requirement and dynamicity of the network, this paper exploits the serverless computing model and presents an architecture to serve IoT devices with the nearest possible Fog/Edge server which has the service running.

Item Type: Thesis (Masters)
Sahni, Vikas
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
T Technology > TL Motor vehicles. Aeronautics. Astronautics
T Technology > T Technology (General) > Information Technology > Cloud computing
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > Computer networks > Internet of things
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: Tamara Malone
Date Deposited: 19 Apr 2023 15:40
Last Modified: 19 Apr 2023 15:40

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