Stateless Q-learning algorithm for service caching in resource constrained edge environment

Stateless Q-learning algorithm for service caching in resource constrained edge environment

Abstract In resource constrained edge environment, multiple service providers can compete to rent the limited resources to cache their service instances on edge servers close to end users, thereby significantly reducing the service delay and improving quality of service (QoS). However, service provi...

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Bibliographic Details
Main Authors: Binbin Huang, Ziqi Ran, Dongjin Yu, Yuanyuan Xiang, Xiaoying Shi, Zhongjin Li, Zhengqian Xu
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Edge environment
service caching
Stateless Q-learning
Collaboration cost
Service latency
Online Access:https://doi.org/10.1186/s13677-023-00506-7

Internet

https://doi.org/10.1186/s13677-023-00506-7

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