TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes-Reference-Cited by-同舟云学术

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TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

Published:2022 Issue: Volume:10 Page:9059-9084
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Steinbach Markus,Jindal Anshul^ORCID,Chadha Mohak^ORCID,Gerndt Michael^ORCID,Benedict Shajulin^ORCID

Funder

German Federal Ministry of Education and Research (BMBF) in the scope of the Software Campus Program

Technical University of Munich (TUM) in the framework of the Open Access Publishing Program

Google Cloud by the Google Cloud Research Credits Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09684420.pdf?arnumber=9684420

Reference66 articles.

1. Fully neural network based model for general temporal point processes;omi;Proc 33rd Int Conf Neural Inf Process Syst,2019

2. Lecture notes for human-centered ML: Temporal point processes;de,2019

3. Intensity-free learning of temporal point processes;shchur;arXiv 1909 12127,2019

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