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GDSoC: Green dynamic self‐optimizing content caching in ICN‐based 5G network
Author(s) -
Yang Shujie,
Qiu Xuesong,
Xie Haiyong,
Guan Jianfeng,
Liu Yang,
Xu Changqiao
Publication year - 2018
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3221
Subject(s) - computer science , network topology , energy consumption , computer network , context (archaeology) , ant colony optimization algorithms , distributed computing , information centric networking , network architecture , cache , engineering , algorithm , paleontology , electrical engineering , biology
Fifth‐generation (5G) networks expect to see explosive growth of mobile data. In this context, 5G information‐centric networking (5G‐ICN) architecture is proposed to provide native support for this trend. However, because of the huge amount of energy consumed by high‐density data and extremely dynamic network topology in 5G networks, the current content caching strategies (CCSs) in ICN are not appropriate in 5G‐ICN architecture. In this paper, through balancing the trade‐off between data caching energy consumption and data transport energy consumption, an optimization problem is formulated with the consideration of dynamic network topology. By leveraging a dynamic self‐optimization algorithm, the formulated optimization problem is solved and the green dynamic self‐optimizing in‐network CCS (GDSoC) is therefore proposed. To demonstrate the performance of GDSoC, extensive simulations are performed in terms of caching hit ratio and energy consumption based on different network topologies (including CERNET, GÉANT, and Abilene topologies) through comparing with several well‐known caching strategies.