Simulation based optimisation on cloud

Simulation-based optimisation (SBO) aims to obtain a set of optimal simulation parameters by combining the use of 2 steps into an iterative process – simulation modelling and optimisation. Multiple candidate simulations have to be ran in each iteration, and the outcomes are evaluated by the optimisa...

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Main Author: Liew, Jordan Yi An
Other Authors: Cai Wentong
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/153479
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author Liew, Jordan Yi An
author2 Cai Wentong
author_facet Cai Wentong
Liew, Jordan Yi An
author_sort Liew, Jordan Yi An
collection NTU
description Simulation-based optimisation (SBO) aims to obtain a set of optimal simulation parameters by combining the use of 2 steps into an iterative process – simulation modelling and optimisation. Multiple candidate simulations have to be ran in each iteration, and the outcomes are evaluated by the optimisation model, which then create new candidate simulations. The step repeats until the error from the simulations are within a pre-set threshold. This iterative process consumes huge amounts of computing power and time. In addition, most use cases for SBO only requires it to be executed periodically. This presents unique challenges for SBO. Cloud Computing have emerged in the recent decade and is gaining strength in both research and corporate organisations. Key benefits include elasticity of compute/storage resource and lower initial costs. These characteristics fit into the requirements of SBO. This project will analyse the use of different computational software for Simulation based Optimisation in the cloud environment. Multiple dimensions were identified for analysis, and experiments were ran to obtain quantitative results. Lastly, policies were determined based on the quantitative results to provide guidelines on the conditions to use these software systems in the Cloud.
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spelling ntu-10356/1534792021-12-03T04:49:33Z Simulation based optimisation on cloud Liew, Jordan Yi An Cai Wentong School of Computer Science and Engineering ASWTCAI@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling Simulation-based optimisation (SBO) aims to obtain a set of optimal simulation parameters by combining the use of 2 steps into an iterative process – simulation modelling and optimisation. Multiple candidate simulations have to be ran in each iteration, and the outcomes are evaluated by the optimisation model, which then create new candidate simulations. The step repeats until the error from the simulations are within a pre-set threshold. This iterative process consumes huge amounts of computing power and time. In addition, most use cases for SBO only requires it to be executed periodically. This presents unique challenges for SBO. Cloud Computing have emerged in the recent decade and is gaining strength in both research and corporate organisations. Key benefits include elasticity of compute/storage resource and lower initial costs. These characteristics fit into the requirements of SBO. This project will analyse the use of different computational software for Simulation based Optimisation in the cloud environment. Multiple dimensions were identified for analysis, and experiments were ran to obtain quantitative results. Lastly, policies were determined based on the quantitative results to provide guidelines on the conditions to use these software systems in the Cloud. Bachelor of Engineering (Computer Science) 2021-12-03T04:49:32Z 2021-12-03T04:49:32Z 2021 Final Year Project (FYP) Liew, J. Y. A. (2021). Simulation based optimisation on cloud. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/153479 https://hdl.handle.net/10356/153479 en application/pdf Nanyang Technological University
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Liew, Jordan Yi An
Simulation based optimisation on cloud
title Simulation based optimisation on cloud
title_full Simulation based optimisation on cloud
title_fullStr Simulation based optimisation on cloud
title_full_unstemmed Simulation based optimisation on cloud
title_short Simulation based optimisation on cloud
title_sort simulation based optimisation on cloud
topic Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
url https://hdl.handle.net/10356/153479
work_keys_str_mv AT liewjordanyian simulationbasedoptimisationoncloud