Task Offloading Strategy and Pricing Scheme in Fog-Enabled Networks

被引：0

作者：

Yang, Fuqian ^{[1
]}

Cai, Penghao ^{[1
]}

Qian, Hua ^{[2
]}

Luo, Xiliang ^{[1
]}

机构：

[1] ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China

[2] Chinese Acad Sci, Shanghai Adv Res Inst, Beijing, Peoples R China

来源：

2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2019年

基金：

中国国家自然科学基金;

关键词：

Fog computing; task offloading; queue theory; task offloading strategy; pricing scheme; RESOURCE; ALLOCATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates the price-based task offloading in fog-enabled networks. Specifically, we consider a fog-enabled network with one task node (TN) and multiple helper nodes (HNs) where the TN and each HN are assumed to be M/M/1 queuing systems. Considering that the tasks are not processed for free at the HNs, we address the optimal task offloading strategy for the TN and optimal pricing scheme for the HNs, respectively. In particular, assuming the equal quality of service (EQoS) at the HNs, a low complexity algorithm is proposed to obtain the optimal task offloading strategy for the TN when the pricing scheme for the HNs is given. Meanwhile, by taking into account the optimal task offloading strategy for the TN, we derive a necessary condition that the optimal pricing scheme for the HNs must satisfy. Furthermore, a low complexity algorithm is proposed to obtain one near optimal pricing scheme for the HNs. Numerical results demonstrate the advantage of the proposed algorithms.

引用

页数：6

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