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Conference Paper
Multi-Agent Learning-based Package Caching in Serverless Edge Computing
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- Authors
- Hongseok Jeon, Seungjae Shin, Chunglae Cho, Seunghyun Yoon
- Issue Date
- 2022-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.400-402
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we investigate a learning-based caching policy in serverless edge computing (SEC), especially where critical packages for container are cached and shared. To this end, we formulate a cooperative multi-agent decision problem and solve it using deep multi-agent reinforcement learning (DMARL) approach where homogenous agents share a common reward, cache hit rate and QoS violations. The simulation results indicate that the DMARL approach performs better than baselines in the QoS violation rate.
- KSP Keywords
- Cache hit rate, Caching Policy, Cooperative multi-agent, Decision problem, Learning-based, Multi-agent Learning, Reinforcement Learning(RL), Violation rate, edge computing, multi-agent reinforcement learning, simulation results