Latency Assessment on Inclusion of a FEC Orchestrator Capable of Invoking Serverless Functions

Tynan, David (2022) Latency Assessment on Inclusion of a FEC Orchestrator Capable of Invoking Serverless Functions. Masters thesis, Dublin, National College of Ireland.

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Abstract

Fog and Edge Computing (FEC) is a computing paradigm in which traditionally cloud provisioned resources are moved to distributed fog node devices in closer proximity to user equipment (UE) devices. Whilst UE fog node resource usage can result in lower latencies due to a reduction of required network hopping communications, resources are more limited and less available than cloud provisioned resources. Competition, amongst multiple UE devices, for simultaneous use of a single fog nodes resources could potentially eliminate latency benefits associated with the reduction in network hopping communications. Cases may exist in which UE devices incur less latencies for requests which use cloud provisioned resources, than waiting for local fog node resource availability. In acknowledgement to occurrences in which requests vary in criticality, this paper proposes implementation of an FEC environment orchestrator component capable of request classification and the ability to invoke serverless functions for non-time critical classified requests. Amazon Web Services (AWS) Lambda functions have been integrated, for execution of non-time critical classified requests, allowing only time critical classified requests to have abilities for fog node resource usage. Results indicate that, when implemented using the methodology addressed within this specific paper, serverless function integration is detrimental to latency performance.

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:	Tamara Malone
Date Deposited:	16 Dec 2022 10:32
Last Modified:	16 Dec 2022 10:32
URI:	https://norma.ncirl.ie/id/eprint/5988

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