A prediction and budget-aware offloading scheme for wearable computing

被引:1
作者
Chowdhury, Mahfuzulhoq [1 ]
机构
[1] Chittagong Univ Engn & Technol, Comp Sci & Engn Dept, Chittagong 4349, Bangladesh
关键词
wearable devices; wearable computing; task offloading scheme; user payment and budget; service provider profit; ALGORITHM; SYSTEM;
D O I
10.1504/IJSNET.2021.117481
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wearable devices are very popular nowadays due to their computing and communication abilities. Limited computation, battery, and storage capabilities hinder the growth of emerging latency-sensitive wearable device-based applications. At present, the existing works on wearable computing suffered from higher latency, energy, and user payment due to lack of wearable device users mobility prediction, budget-aware offloading, deadline, resources availability, cooperation, and energy cost awareness. This paper proposes a prediction and budget-aware task offloading for wearable computing by investigating the wearable device users' payment, mobility, cloud, and network resource availability, and task requirements. The effectiveness of the proposed prediction and budget-aware offloading scheme for wearable computing is evaluated by comparing its results with the baseline greedy and independent resource selection scheme. The experimental results demonstrate that our proposed scheme provides a significant performance gain than the compared schemes in terms of makespan delay, user payment, utility, energy cost, and service provider profit.
引用
收藏
页码:204 / 215
页数:12
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