Affiliation:
1. China Information Consulting & Designing Institute Co., Ltd.
2. University of Waterloo
Abstract
In order to realize the green computing of the edge-cloud fiber-wireless networks, the cooperation between the edge servers and the cloud servers is particularly important to reduce the network energy consumption. Therefore, this paper proposes an energy-efficient workload allocation (EEWA) scheme to improve the energy efficiency by using the architecture of edge-cloud fiber-wireless networks. The feasibility of the proposed EEWA scheme was verified on our SDN testbed. We also do the simulation to obtain the optimal results for a given set of task requests. Simulation results show that our proposed EEWA scheme greatly reduces the blocking probability and the average energy consumption of task requests in edge-cloud fiber-wireless networks.
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
China Postdoctoral Science Foundation
Postdoctoral Science Foundation of Jiangsu Province
Subject
Atomic and Molecular Physics, and Optics
Cited by
4 articles.
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