TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning

Author:

Li Yihong1,Zeng Tianyu1,Zhang Xiaoxi1,Duan Jingpu2,Wu Chuan3

Affiliation:

1. Sun Yat-sen University,School of Computer Science and Engineering

2. Peng Cheng Laboratory,Department of Communications

3. The University of Hong Kong,Department of Computer Science

Publisher

IEEE

Reference47 articles.

1. DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters

2. From cloud to edge

3. Dynamic scheduling for stochastic edge-cloud computing environments using a3c learning and residual recurrent neural networks;tuli;IEEE Transactions on Mobile Computing,2020

4. Panda: Reinforcement Learning-Based Priority Assignment for Multi-Processor Real-Time Scheduling

5. Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System

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