Journal of Northeastern University(Natural Science) ›› 2023, Vol. 44 ›› Issue (10): 1383-1391.DOI: 10.12068/j.issn.1005-3026.2023.10.003

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Online Content Caching and Delivery Method Based on Edge Horizontal Collaboration

LIU Ming-han, CHEN Xiang-yi, CHEN Xue-ping, ZHAO Hai   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Published:2023-10-27
  • Contact: CHEN Xiang-yi
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Abstract: Traditional network architectures cannot meet user needs for content caching, and there is a conflict between low latency requirements and high communication costs in content delivery. To address these problems, an online content caching and delivery algorithm based on Lyapunov optimization and branch and bound method is proposed under the scenario of horizontal collaboration between edge nodes to balance delivery delay and cost and to make efficient decisions on content caching and content delivery. The proposed algorithm decomposes the continuous problem into a single slot online optimization problem based on Lyapunov optimization theory, and solves them using branch and bound algorithms. Simulation experiments showed that the proposed algorithm can achieve lower average content delivery delay and higher content hit rate under a limited content delivery cost budget. It can also adaptively balance content delivery delay and delivery cost.

Key words: content caching; content delivery; edge collaboration; Lyapunov optimization; branch and bound algorithm

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