Cloud Latency Optimization Using Mathematical Modelling

Usman, Douglas Sheriff (2018) Cloud Latency Optimization Using Mathematical Modelling. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cloud computing has not ascended to the heights it was predicted to reach, recent network outage of Azure Cloud Service. Cloud users have been unable to tap into the infinite computing power that was promised with the birth of Cloud. This is due to the prolonged battle with cloud latency, which is the delay in communications between the cloud provider and cloud users. In this paper, we propose to explore the feasibility of mathematical modelling in mitigating cloud latency. We propose to focus on relevant methodology to actively model fuzzy logic control, implement the fuzzy logic control to mitigate cloud latency and evaluate the result from the research into this optimization process. This work is dedicated to all cloud users without specific IT skills to manage cloud services in their chosen cloud platform.
Keywords: Cloud; Networking; Fuzzy Logic Control; Fuzzy Inference System; Latency Optimisation; Mathematical Algorithms; Mathematical Modelling; Quality of Service.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software 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:	03 Jun 2020 16:29
Last Modified:	03 Jun 2020 16:29
URI:	https://norma.ncirl.ie/id/eprint/4234

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