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Conference Paper
Caching Method using User’s Context based on Grouping for Enterprise and Urban Small Cell Environments
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- Authors
- Hyun-ki Jung, Seung Que Lee, Jae-Hyun Kim
- Issue Date
- 2016-01
- Citation
- International Conference on Electronics, Information and Communication (ICEIC) 2016, pp.833-834
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose a caching method using grouping based on user’s context in an enterprise/urban small cell environment. In our method, we classify users into several user groups based on user’s contexts. After that, an edge server updates a cache storage size in proportion to the amount of the offered cache data to each group. As a performance metric, we use a cache efficiency that represents the ratio of traffic decreased by cache to total traffic. The results of performance analysis show that the proposed method can reduce data traffic toward core networks more than the existing method in the enterprise/urban small cell environment.
- KSP Keywords
- Cache storage, Core Network, Data traffic, Performance analysis, Small cells, User groups, performance metrics, total traffic