AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing
Shan Zhang, Liudi Wang, Hongbin Luo, Xiao Ma, Sheng Zhou

TL;DR
This paper introduces a freshness-aware content refreshing scheme for mobile edge caching that balances delay and information freshness, optimizing the refreshing window to improve performance under load.
Contribution
It proposes a novel AoI-delay tradeoff model with an optimized refreshing window, validated through analytical derivations and extensive OMNeT++ simulations.
Findings
Average delay reduced by around 80% in simulations
Maintains AoI below one second in heavily-loaded scenarios
Smaller refreshing window benefits popular content items
Abstract
Mobile edge caching can effectively reduce service delay but may introduce information staleness, calling for timely content refreshing. However, content refreshing consumes additional transmission resources and may degrade the delay performance of mobile systems. In this work, we propose a freshness-aware refreshing scheme to balance the service delay and content freshness measured by Age of Information (AoI). Specifically, the cached content items will be refreshed to the up-to-date version upon user requests if the AoI exceeds a certain threshold (named as refreshing window). The average AoI and service delay are derived in closed forms approximately, which reveals an AoI-delay tradeoff relationship with respect to the refreshing window. In addition, the refreshing window is optimized to minimize the average delay while meeting the AoI requirements, and the results indicate to set a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAge of Information Optimization · Caching and Content Delivery · IoT Networks and Protocols
