Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/171873
Title: Evaluating virtual machine allocation in clouds
Authors: Chen, Yifan
Keywords: Engineering::Computer science and engineering
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Chen, Y. (2023). Evaluating virtual machine allocation in clouds. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/171873
Project: SCSE22-0696 
Abstract: Cloud computing has emerged as a critical technology in the 21st century, with its increasing popularity transforming the landscape of technology in both public and private sectors. By eliminating the need for upfront investment in servers and enabling scalable and flexible computing resources, cloud computing has greatly reduced the barrier to entry for internet-based companies and enabled the creation of highly reliable and performant services. A fundamental problem that cloud service providers have is the efficient allocation of resources to different job requests made by customers whereby the objective is to optimise the busy time of the servers. This is important in use cases such as container orchestration and other job allocation use cases. This problem can be broken down as a bin packing problem. The objective of this project is to analyse the performance of the Robust and Consistent Packing (RCP) algorithm that is developed by Mozhengfu Liu and Xueyan Tang.
URI: https://hdl.handle.net/10356/171873
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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