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영문 논문지

홈 홈 > 연구문헌 > 영문 논문지 > TIIS (한국인터넷정보학회)

TIIS (한국인터넷정보학회)

Current Result Document : 48 / 48

한글제목(Korean Title) A cache placement algorithm based on comprehensive utility in big data multi-access edge computing
영문제목(English Title) A cache placement algorithm based on comprehensive utility in big data multi-access edge computing
저자(Author) Yanpei Liu   Wei Huang   Li Han   Liping Wang  
원문수록처(Citation) VOL 15 NO. 11 PP. 3892 ~ 3912 (2021. 11)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
The recent rapid growth of mobile network traffic places multi-access edge computing in an important position to reduce network load and improve network capacity and service quality. Contrasting with traditional mobile cloud computing, multi-access edge computing includes a base station cooperative cache layer and user cooperative cache layer. Selecting the most appropriate cache content according to actual needs and determining the most appropriate location to optimize the cache performance have emerged as serious issues in multi-access edge computing that must be solved urgently. For this reason, a cache placement algorithm based on comprehensive utility in big data multi-access edge computing (CPBCU) is proposed in this work. Firstly, the cache value generated by cache placement is calculated using the cache capacity, data popularity, and node replacement rate. Secondly, the cache placement problem is then modeled according to the cache value, data object acquisition, and replacement cost. The cache placement model is then transformed into a combinatorial optimization problem and the cache objects are placed on the appropriate data nodes using tabu search algorithm. Finally, to verify the feasibility and effectiveness of the algorithm, a multi-access edge computing experimental environment is built. Experimental results show that CPBCU provides a significant improvement in cache service rate, data response time, and replacement number compared with other cache placement algorithms.
키워드(Keyword) Multi-access edge computing   comprehensive utility   big data   replacement cost   cache placement  
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