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Workload-Aware Caching Policy for Information-Centric Networking
Qian HU Muqing WU Song GUO Hailong HAN Chaoyi ZHANG
IEICE TRANSACTIONS on Communications
Publication Date: 2014/10/01
Online ISSN: 1745-1345
Type of Manuscript: PAPER
information-centric networking, in-network caching, cache replacement, content popularity, temporal locality,
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Information-centric networking (ICN) is a promising architecture and has attracted much attention in the area of future Internet architectures. As one of the key technologies in ICN, in-network caching can enhance content retrieval at a global scale without requiring any special infrastructure. In this paper, we propose a workload-aware caching policy, LRU-GT, which allows cache nodes to protect newly cached contents for a period of time (guard time) during which contents are protected from being replaced. LRU-GT can utilize the temporal locality and distinguish contents of different popularity, which are both the characteristics of the workload. Cache replacement is modeled as a semi-Markov process under the Independent Reference Model (IRM) assumption and a theoretical analysis proves that popular contents have longer sojourn time in the cache compared with unpopular ones in LRU-GT and the value of guard time can affect the cache hit ratio. We also propose a dynamic guard time adjustment algorithm to optimize the performance. Simulation results show that LRU-GT can reduce the average hops to get contents and improve cache hit ratio.