Collaborative Video Cache Management Strategy in Mobile Edge Computing
Autor: | Zihao Sang, Ying Wang, Songtao Guo |
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Rok vydání: | 2021 |
Předmět: |
Mobile edge computing
Computer science business.industry Quality of service 05 social sciences 050801 communication & media studies 020206 networking & telecommunications Cloud computing 02 engineering and technology Backhaul (telecommunications) Base station 0508 media and communications 0202 electrical engineering electronic engineering information engineering Cellular network Cache Enhanced Data Rates for GSM Evolution business Computer network |
Zdroj: | WCNC |
DOI: | 10.1109/wcnc49053.2021.9417255 |
Popis: | With the rapid development of multimedia services in wireless mobile networks, the video data traffic has increased exponentially. Traditional video traffic service based on cloud computing caused a large amount of traffic load and longer access delay, which severely reduces the quality of service (QoS) of users. Mobile edge caching as one of the use cases of mobile edge computing (MEC), can directly serve user requests so as to greatly reduce the traffic load and shorten access delay. At present, distributed caching is widely used in the caching deployment of base stations (BSs). However, the caching capacity of a single BS is generally particularly limited, which will degrade the performance of wireless mobile network. In this paper, a collaborative caching strategy in the heterogeneous MEC networks is designed, and the edge caching of macro base station (MBS) and small base stations (SBSs) is utilized to bring storage resources closer to users. In addition, an optimization problem of content caching is formulated to minimize the total delay cost of all users requesting content in the MEC networks. In order to solve this problem, cache management strategy (GCS) is proposed, which consists of greedy cache placement strategy and greedy cache update strategy. Finally, numerical simulations demonstrate that the GCS scheme effectively improves the cache hit rate, and significantly reduces the average delay and backhaul traffic load. |
Databáze: | OpenAIRE |
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