ENTS: An Edge-native Task Scheduling System for Collaborative Edge Computing

Author:

Zhang Mingjin1,Cao Jiannong1,Yang Lei2,Zhang Liang3,Sahni Yuvraj1,Jiang Shan1

Affiliation:

1. Hong Kong Polytechnic University

2. South China University of Technology

3. Shanghai Jiao Tong University

Publisher

IEEE

Reference46 articles.

1. Mesos: A platform for {Fine-Grained} resource sharing in the data center;hindman;USENIX Symposium on Networked Systems Design and Implementation,2011

2. Kubernetes distributions for the edge: serverless performance evaluation

3. RTT measurement and its dependence on the real geographical distance

4. Kubernetes and the path to cloud native

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1. A cloud–edge–device collaborative offloading scheme with heterogeneous tasks and its performance evaluation;Frontiers of Information Technology & Electronic Engineering;2023-12-01

2. Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing;2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2023-09-25

3. Task Allocation Methods and Optimization Techniques in Edge Computing: A Systematic Review of the Literature;Future Internet;2023-07-28

4. TSTSS: A Time-Sensitive Task Scheduling System for Multi-modal Industrial Internet of Things;Proceedings of the ACM Turing Award Celebration Conference - China 2023;2023-07-28

5. A survey of Kubernetes scheduling algorithms;Journal of Cloud Computing;2023-06-13

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