AViC

Author:

Akhtar Zahaib1,Li Yaguang1,Govindan Ramesh1,Halepovic Emir2,Hao Shuai2,Liu Yan1,Sen Subhabrata2

Affiliation:

1. University of Southern California

2. AT&T Labs - Research

Funder

National Science Foundation

Publisher

ACM

Reference44 articles.

1. AdaptSize. https://github.com/dasebe/webcachesim. AdaptSize. https://github.com/dasebe/webcachesim.

2. Dash Industry Forum: Dash.js. https://github.com/Dash-Industry-Forum/dash.js. Dash Industry Forum: Dash.js. https://github.com/Dash-Industry-Forum/dash.js.

3. Golang. https://golang.org/. Golang. https://golang.org/.

4. Golang: Debugging performance issues in Go programs. https://github.com/golang/go/wiki/Performance. Golang: Debugging performance issues in Go programs. https://github.com/golang/go/wiki/Performance.

5. Golang: runtime package. https://golang.org/pkg/runtime/. Golang: runtime package. https://golang.org/pkg/runtime/.

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2. Collaborative Video Caching in the Edge Network using Deep Reinforcement Learning;ACM Transactions on Internet of Things;2024-06-17

3. Reinforcement Learning-Based Adaptive Bitrate Caching at MEC Server;IEEE Transactions on Network and Service Management;2024-06

4. Content-Aware Caching at the Mobile Edge Network Using Federated Learning;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

5. Predictive edge caching through deep mining of sequential patterns in user content retrievals;Computer Networks;2023-09

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