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Optimization of IoT Service Deployment In Multi-Layered Cloud-Fog Environment

Dang, Van Do and Hoang, Xuan Tung and Kim-Khoa, Nguyen (2020) Optimization of IoT Service Deployment In Multi-Layered Cloud-Fog Environment. In: IEEE Globecom 2020.

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Recently, fog computing, which can be done in proximity to data sources, has emerged as a solution to provide low-latency Quality-of-Service (QoS) for IoT services in complement to centralized cloud with unlimited computing resources. Optimized service deployment on both cloud and fog environments is challenging due to their heterogeneity. Prior works mainly focus on mapping service functions and dependencies directly to physical network. In this paper, we propose a multi-layer mapping mechanism that efficiently deploys multiple IoT services to the appropriate virtual networks in physical infrastructure. We design greedy-based algorithms for solving this NP-hard problem with two phases executed sequentially. Experimental results show our proposed solution can reduce upto 80% of the total service cost compared to the state-of-the-art solutions.

Item Type: Conference or Workshop Item (Paper)
Subjects: Electronics and Communications
Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: Trần Trúc Mai
Date Deposited: 12 Dec 2020 15:29
Last Modified: 12 Dec 2020 15:29

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