Abstract
This paper presents a weighted frequency based real-time data replacement policy (WFRRP) for named data networking (NDN) cache memory. Based on the temporal locality, WFRRP leverages the weighted request frequency within different time periods and the cost of data request to predictas well as evaluate the real-time popularity of data. Specifically, those real hot data and data further away from the source servers are able to obtain high real-time popularity so as to have the caching priorities over the cold data. Experimental results show that WFRRP has accurate prediction capability, and is able to gain considerable improvements of data hit rate so as to help the NDN reduce the average number of hops and transmission delay.
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Acknowledgments
This work is partially supported by the National Science Foundation of China under Grant Nos. 61572181, 61300218, 61472131 and 61272546; Research and Development Key Projects of Hunan Province (2016JC2013, 2016JC2012); Science and Technology Key Projects of Hunan Province (2015 TP1004).
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Liao, Y., Hu, Y., Wu, L., Qin, Z. (2016). A Weighted Frequency Based Cache Memory Replacement Policy for Named Data Networking. In: Wang, G., Ray, I., Alcaraz Calero, J., Thampi, S. (eds) Security, Privacy and Anonymity in Computation, Communication and Storage. SpaCCS 2016. Lecture Notes in Computer Science(), vol 10067. Springer, Cham. https://doi.org/10.1007/978-3-319-49145-5_35
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DOI: https://doi.org/10.1007/978-3-319-49145-5_35
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