Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/175155
Title: Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems
Authors: Lim, Yan Kai
Keywords: Computer and Information Science
Issue Date: 2024
Publisher: Nanyang Technological University
Source: Lim, Y. K. (2024). Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175155
Abstract: This report seeks to document the development process and the design decisions behind the Edge-AI and Cloud Gaming benchmarks. The benchmarks are under an open-sourced initiative, the vHive ecosystem, which is a research platform to analyze serverless systems. The report begins with an overview of cloud and edge computing, followed by the benefits of serverless applications. Subsequently the vHive ecosystem is introduced before delving into the architecture design of both the benchmarks. The current benchmarks developed is meant to be a solid foundation for vHive in demonstrating implementations of high performing systems using the serverless paradigm. Therefore this report also aims to be a guide to maintaining and improving the existing benchmarks so that it simulates industrial standard systems.
URI: https://hdl.handle.net/10356/175155
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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