Evaluating resource allocation algorithms in clouds
Nowadays, cloud services are gaining more and more popular in the world of computing, with the potential of completely replacing on-premises computing resources. The main characteristic of cloud computing services is the ability to share hardware resources between different users, to which amortize...
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Nanyang Technological University
2024
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sg-ntu-dr.10356-1752832024-04-26T15:44:24Z Evaluating resource allocation algorithms in clouds Hoang, Minh Trung Tang Xueyan School of Computer Science and Engineering ASXYTang@ntu.edu.sg Computer and Information Science Cloud computing Nowadays, cloud services are gaining more and more popular in the world of computing, with the potential of completely replacing on-premises computing resources. The main characteristic of cloud computing services is the ability to share hardware resources between different users, to which amortize the cost of running computations. For the cloud service providers, one of their main focuses is how to optimally minimize the actual physical hardware costs (the machines) that should be spun up, while still be able to fulfill all the computation needs of users. In this project, a job scheduling algorithm is implemented and tested on a public cloud provider’s trace to see the efficiency of it in reducing the hardware costs, in a real-time-simulated environment. A baseline simulation with no algorithm is also implemented and the results show that the algorithm is able to reduce the hardware costs by about 5%. Bachelor's degree 2024-04-23T06:06:22Z 2024-04-23T06:06:22Z 2024 Final Year Project (FYP) Hoang, M. T. (2024). Evaluating resource allocation algorithms in clouds. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175283 https://hdl.handle.net/10356/175283 en SCSE23-0326 application/pdf Nanyang Technological University |
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Computer and Information Science Cloud computing Hoang, Minh Trung Evaluating resource allocation algorithms in clouds |
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Nowadays, cloud services are gaining more and more popular in the world of computing, with the potential of completely replacing on-premises computing resources.
The main characteristic of cloud computing services is the ability to share hardware resources between different users, to which amortize the cost of running computations.
For the cloud service providers, one of their main focuses is how to optimally minimize the actual physical hardware costs (the machines) that should be spun up, while still be able to fulfill all the computation needs of users.
In this project, a job scheduling algorithm is implemented and tested on a public cloud provider’s trace to see the efficiency of it in reducing the hardware costs, in a real-time-simulated environment. A baseline simulation with no algorithm is also implemented and the results show that the algorithm is able to reduce the hardware costs by about 5%. |
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Tang Xueyan |
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Tang Xueyan Hoang, Minh Trung |
format |
Final Year Project |
author |
Hoang, Minh Trung |
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Hoang, Minh Trung |
title |
Evaluating resource allocation algorithms in clouds |
title_short |
Evaluating resource allocation algorithms in clouds |
title_full |
Evaluating resource allocation algorithms in clouds |
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Evaluating resource allocation algorithms in clouds |
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Evaluating resource allocation algorithms in clouds |
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evaluating resource allocation algorithms in clouds |
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Nanyang Technological University |
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2024 |
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https://hdl.handle.net/10356/175283 |
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