TY  - CONF
ID  - SisLab4251
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4251/
A1  - Dang, Van Do
A1  - Hoang, Xuan Tung
A1  - Kim-Khoa, Nguyen
Y1  - 2020/08//
N2  - 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.
TI  - Optimization of IoT Service Deployment In Multi-Layered Cloud-Fog Environment
AV  - public
T2  - IEEE Globecom 2020
ER  -