Temporal Performance Modelling of Serverless Computing Platforms

Author:

Mahmoudi Nima1,Khazaei Hamzeh2

Affiliation:

1. Dept. of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

2. Dept. of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada

Publisher

ACM

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AI-SPRINT: Design and Runtime Framework for Accelerating the Development of AI Applications in the Computing Continuum;Lecture Notes on Data Engineering and Communications Technologies;2024

2. Rise of the Planet of Serverless Computing: A Systematic Review;ACM Transactions on Software Engineering and Methodology;2023-07-21

3. The Night Shift: Understanding Performance Variability of Cloud Serverless Platforms;Proceedings of the 1st Workshop on SErverless Systems, Applications and MEthodologies;2023-05-08

4. A Novel Technique to Improve Latency and Response Time of AI Models using Serverless Infrastructure;2023 International Conference on Inventive Computation Technologies (ICICT);2023-04-26

5. Workflow aware analytical model to predict performance and cost of serverless execution;Concurrency and Computation: Practice and Experience;2023-04-20

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