AdaInf: Data Drift Adaptive Scheduling for Accurate and SLO-guaranteed Multiple-Model Inference Serving at Edge Servers

Author:

Shubha Sudipta Saha1ORCID,Shen Haiying1ORCID

Affiliation:

1. Computer Science, University of Virginia, Charlottesville, Virginia, United States of America

Funder

NSF

Publisher

ACM

Reference49 articles.

1. Chengliang Zhang , Minchen Yu , Wei Wang , and Feng Yan . {MArk} : Exploiting cloud services for {Cost-Effective},{SLO-Aware} machine learning inference serving . In Proc. of ATC , 2019 . Chengliang Zhang, Minchen Yu, Wei Wang, and Feng Yan. {MArk}: Exploiting cloud services for {Cost-Effective},{SLO-Aware} machine learning inference serving. In Proc. of ATC, 2019.

2. Darek Fanton . Edge server. https://www.onlogic.com/company/io-hub/what-are-edge-servers/ , 2021 . Darek Fanton. Edge server. https://www.onlogic.com/company/io-hub/what-are-edge-servers/, 2021.

3. Romil Bhardwaj , Zhengxu Xia , Ganesh Ananthanarayanan , Junchen Jiang , Yuanchao Shu , Nikolaos Karianakis , Kevin Hsieh , Paramvir Bahl , and Ion Stoica . Ekya : Continuous learning of video analytics models on edge compute servers . In Proc. of NSDI , 2022 . Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, and Ion Stoica. Ekya: Continuous learning of video analytics models on edge compute servers. In Proc. of NSDI, 2022.

4. Enrique Saurez , Harshit Gupta , Alexandros Daglis , and Umakishore Ramachandran . Oneedge : An efficient control plane for geo-distributed infrastructures . In Proc. of SoCC , 2021 . Enrique Saurez, Harshit Gupta, Alexandros Daglis, and Umakishore Ramachandran. Oneedge: An efficient control plane for geo-distributed infrastructures. In Proc. of SoCC, 2021.

5. Viyom Mittal , Shixiong Qi , Ratnadeep Bhattacharya , Xiaosu Lyu , Junfeng Li , Sameer G Kulkarni , Dan Li , Jinho Hwang , KK Ramakrishnan , and Timothy Wood . Mu : an efficient, fair and responsive serverless framework for resource-constrained edge clouds . In Proc. of SoCC , 2021 . Viyom Mittal, Shixiong Qi, Ratnadeep Bhattacharya, Xiaosu Lyu, Junfeng Li, Sameer G Kulkarni, Dan Li, Jinho Hwang, KK Ramakrishnan, and Timothy Wood. Mu: an efficient, fair and responsive serverless framework for resource-constrained edge clouds. In Proc. of SoCC, 2021.

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1. The DAG-Based Hybrid Deep Neural Network (DNN) Tasks Scheduling Algorithm (DHTS) in Real-Time Edge Systems;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

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