Energy-delay-aware caching strategy in green CCN using markov approximation

摘要

One of the basic challenges in content-centric networking (CCN) is how to optimize the overall energy consumption of content transmission and caching. Furthermore, designing an appropriate caching policy that considers both energy consumption and quality of service (QoS) is a major goal in green CCN. In this paper, the problem of minimizing the total CCN energy consumption while being aware of the end-to-end delay is formulated as an integer linear programming model. Since it is an Non-deterministic Polynomial-time (NP)-hard problem, the Markov approximation method for an energy-delay aware caching strategy (MAEDC) is proposed through a log-sum-exp function to find a near-optimal solution in a distributed manner. The numerical results show that the MAEDC achieves near-optimal energy consumption with better delay profile compared with the optimal solution. Moreover, due to the possibility of distributed and parallel processing, the proposed method is proper for the online situation where the delay is a crucial issue.