Short-Term Time-Varying Request Model Based Chunk Caching Scheme for Live Streaming in Mobile Edge-Cloud Environment

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Mobile Edge Computing Caching System (MECCS) realizes low-latency and high-bandwidth content access and enables seamless 4K Ultra High Definition (UHD) video streaming by caching content in advance at edge-servers of a cellular network. The objective of MECCS is to maximize cache hit by caching highly popular video content while utilizing the storage capacity efficiently in edge-servers. Most of existing caching schemes estimate the popularity of each content based on content request history in off-line or on-line manners, considering the characteristics of Video-on-Demand (VoD) content which has long-term time-varying popularity. However, since live streaming follows Short-term Time-Varying (STV) characteristics, estimating popularity based on content request history do not guarantee acceptable performance on cache hit for live streaming. In this paper, we propose a request model to estimate the popularity distribution considering STV characteristics. Also, we propose a STV request model-based chunk caching scheme to cache highly popular content and enhance cache hit in multiple live channels, utilizing the storage capacity of collaborative edge-servers efficiently. Experimental results show that the proposed scheme outperforms existing schemes regarding cache hit and backhaul traffic.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2019-11
Language
English
Article Type
Article
Citation

IEEE ACCESS, v.7, pp.177148 - 177163

ISSN
2169-3536
DOI
10.1109/ACCESS.2019.2955749
URI
http://hdl.handle.net/10203/269889
Appears in Collection
EE-Journal Papers(저널논문)
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