Abstract
Multi-access edge computing (MEC) is witnessed to be an integral part of emerging augmented reality (AR) / virtual reality (VR) applications. These applications require contents from the cloud, thus suffer from high latency that is not desirable. To address this issue, one can store the frequently requested content at the MEC server. However, MEC servers have limited computing capabilities. Additionally, there are significant variations in a number of requests from the MEC server. Therefore, we propose collaborative edge caching. Our collaborative edge caching will serve the end-users in collaboration to fully exploit the available caching resources at the network edge. We derive optimization scheme based on the alternating direction method of multipliers(ADMM). Finally, we perform numerical evaluations to demonstrate the effectiveness of our proposed scheme.
Original language | English |
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Title of host publication | 2021 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 394-397 |
Number of pages | 4 |
ISBN (Electronic) | 9784885523328 |
DOIs | |
Publication status | Published - 8 Sept 2021 |
Event | 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021 - Virtual, Online, Taiwan, Province of China Duration: 8 Sept 2021 → 10 Sept 2021 |
Publication series
Name | 2021 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021 |
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Conference
Conference | 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021 |
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Country/Territory | Taiwan, Province of China |
City | Virtual, Online |
Period | 8/09/21 → 10/09/21 |
Bibliographical note
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