Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks

Huynh, Vu San Ha and Radenkovic, Milena and John, Robert (2018) Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks. In: 14th International Wireless Communications and Mobile Computing Conference (IWCMC 2018), 25-29 June 2018, Limassol, Cyprus.

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Abstract

Smart networks and services leverage in-network caching to improve transmission efficiency and support large amount of content sharing, decrease high operating costs and handle disconnections. In this paper, we investigate the complex challenges related to content popularity weighting process in collaborative caching algorithm in heterogeneous mobile disconnection prone environments. We describe a reputation-based popularity weighting mechanism built in information-centric layer of our adaptive collaborative caching framework CafRepCache which considers a realistic case where caching points gathering content popularity observed by nodes differentiates between them according to node's reputation and network's connectivity. We extensively evaluate CafRepCache with competitive protocols across three heterogeneous real-world mobility, connectivity traces and use YouTube dataset for different workload and content popularity patterns. We show that our collaborative caching mechanism CafRepCache balances the trade-off that achieves higher cache hit ratio, efficiency and success ratios while keeping lower delays, packet loss and caching footprint compared to competing protocols across three traces in the face of dynamic mobility of publishers and subscribers.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/941646
Keywords: Opportunistic mobile networks, content discovery and retrieval, content caching, reputation, mobility and connectivity
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: HUYNH, VU
Date Deposited: 17 Apr 2018 09:00
Last Modified: 04 May 2020 19:42
URI: http://eprints.nottingham.ac.uk/id/eprint/51183

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