Crossl.earning: Vertical and Horizontal Learning for Request Scheduling in Edge-Cloud Systems
Author:
Affiliation:
1. College of Intelligence and Computing, Tianjin University,Tianjin,China
2. School of Big Data & Software Engineering, Chongqing University,Chongqing,China
3. Paiou Cloud Computing (Shanghai) Co., Ltd.,Shanghai,China
Funder
China NSFC (Youth)
National Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622364.pdf?arnumber=10622364
Reference19 articles.
1. Edge computing vs. cloud computing: an overview of big data challenges and opportunities for large enterprises;Sriram;International Research Journal of Modernization in Engineering Technology and Science,2022
2. Edge Computing in 5G: A Review
3. A Holistic QoS View of Crowdsourced Edge Cloud Platform
4. CompCube: A Space-Time-Request Resource Trading Framework for Edge-Cloud Service Market
5. Speedo
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