Benchmarking of Serverless Application Performance across Cloud Providers: An In-depth Understanding of Reasons for Differences

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/304566
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Type: Examensarbete för masterexamen
Title: Benchmarking of Serverless Application Performance across Cloud Providers: An In-depth Understanding of Reasons for Differences
Authors: Deng, Rui
Abstract: Serverless computing has emerged as a new compelling cloud computing model for deploying modern applications, creating demand for benchmarking serverless platforms to help practitioners make a suitable choice. Existing works related to serverless benchmarking primarily focus on microbenchmarking to measure an individual aspect of function performance such as CPU speed and cold start. Some studies propose an application-centric benchmarking framework but lack an in-depth analysis of the application performance difference across cloud providers. Furthermore, none of the related studies provides details about addressing benchmark fairness. In contrast, this thesis presents a methodology to design a serverless application benchmark for a fair comparison between two leading cloud providers: AWS and Azure. The benchmark execution generates detailed traces constituting the end-toend execution duration which enables drill-down analysis on how the application performs differently across cloud platforms. The main finding shows that storage triggering can substantially impact the end-to-end latency, and the performance difference between cloud platforms.
Keywords: Cloud Computing;Serverless Computing;Benchmarking;Distributed Tracing
Issue Date: 2022
Publisher: Chalmers tekniska högskola / Institutionen för data och informationsteknik
URI: https://hdl.handle.net/20.500.12380/304566
Collection:Examensarbeten för masterexamen // Master Theses



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