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Content distribution acceleration strategy in mobile edge computing
LIU Xing, YANG Zhen, WANG Xinjun, ZHU Heng
Journal of Computer Applications    2020, 40 (5): 1389-1391.   DOI: 10.11772/j.issn.1001-9081.2019091679
Abstract287)      PDF (490KB)(446)       Save

Focusing on the content distribution acceleration problem in Mobile Edge Computing (MEC), with the consideration of the influence of MEC server storage space limitation on content cache, with the object obtaining delays of the mobile users as optimization goal, an Interest-based Content Distribution Acceleration Strategy (ICDAS) was proposed. Considering the MEC server storage space, the interests of the mobile user groups on different objects and the file sizes of the objects, the objects were selectively cached on MEC servers, and the objects cached on MEC servers were timely updated in order to meet the content requirements of mobile user groups as more as possible. The experimental results show that the proposed strategy has good convergence performance, which cache hit ratio is relatively stable and significantly better than that of the existing strategies. When the system runs stably, compared with the existing strategies, this strategy can reduce the object data obtaining delay for users by 20%.

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