<i>Astrea:</i>Auto-Serverless Analytics Towards Cost-Efficiency and QoS-Awareness-Reference-Cited by-同舟云学术

Astrea:Auto-Serverless Analytics Towards Cost-Efficiency and QoS-Awareness

Published:2022-12-01 Issue:12 Volume:33 Page:3833-3849
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Jarachanthan Jananie¹,Chen Li¹^ORCID,Xu Fei²,Li Bo³^ORCID

Affiliation:

1. School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA

2. School of Computer Science and Technology, East China Normal University, Shanghai, China

3. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China

Funder

National Science Foundation

Louisiana Board of Regents

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

RGC RIF

RGC GRF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/71/9790018/9767624-aam.pdf

Reference54 articles.

1. Dorylus: Affordable, scalable, and accurate GNN training with distributed CPU servers and serverless threads;thorpe;Proc 15th USENIX Symp Oper Syst Des Implementation,2021

2. Towards Demystifying Serverless Machine Learning Training

3. Amoeba: QoS-Awareness and Reduced Resource Usage of Microservices with Serverless Computing

4. InfiniCache: Exploiting ephemeral serverless functions to build a cost-effective memory cache;wang;Proc 18th USENIX Conf File Storage Technol,2020

5. Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure

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