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Empirical investigation of factors influencing function as a service performance in different cloud/edge system setups

  • Published:2023-11 Issue: Volume:128 Page:102808
  • ISSN:1569-190X
  • Container-title:Simulation Modelling Practice and Theory
  • language:en
  • Short-container-title:Simulation Modelling Practice and Theory

Author:

Lipitakis Anastasia-DimitraORCID,Kousiouris George,Nikolaidou Mara,Bardaki Cleopatra,Anagnostopoulos Dimosthenis

Funder

Horizon 2020

European Commission

Publisher

Elsevier BV

Subject

Hardware and Architecture,Modeling and Simulation,Software

Reference28 articles.

1. Cloud programming simplified: A berkeley view on serverless computing;Jonas,2019

2. Algorithms for scheduling scientific workflows on serverless architecture;Majewski,2021

3. OpenWhisk: Serverless functions platform for building cloud applications;The Apache Software Foundation,2021

4. Understanding the impact of cloud patterns on performance and energy consumption;Khomh;J. Syst. Softw.,2018

5. Optimizing serverless computing: introducing an adaptive function placement algorithm;Mahmoudi,2019

Cited by 3 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. Embedding automated function performance benchmarking, profiling and resource usage categorization in function as a service DevOps pipelines;Future Generation Computer Systems;2024-11

2. Investigating the Effectiveness of Algorithms in Serverless Cloud Computing;2024 International Conference on E-mobility, Power Control and Smart Systems (ICEMPS);2024-04-18

3. Enhanced Runtime-Adaptable Routing for Serverless Functions based on Performance and Cost Tradeoffs in Hybrid Cloud Settings;2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom);2023-12-04
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