文章基本信息

标题：A Dynamic Application-Partitioning Algorithm with Improved Offloading Mechanism for Fog Cloud Networks
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作者：Adeel Abro ; Zhongliang Deng ; Kamran Ali Memon 等
期刊名称：Future Internet
电子版ISSN：1999-5903
出版年度：2019
卷号：11
期号：7
页码：1-16
DOI：10.3390/fi11070141
出版社：MDPI Publishing
摘要：This paper aims to propose a new fog cloud architecture that performs a joint energy-efficient task assignment (JEETA). The proposed JEETA architecture utilizes the dynamic application-partitioning algorithm (DAPTS), a novel algorithm that efficiently decides and switches the task to be offloaded or not in heterogeneous environments with minimal energy consumption. The proposed scheme outperforms baseline approaches such as MAUI, Think Air and Clone Cloud in many performance aspects. Results show that for the execution of 1000 Tasks on fog, mobile offloaded nodes, JEETA consumes the leas, i.e., 23% of the total energy whereas other baseline approaches consume in between 50–100% of the total energy. Results are validated via real test-bed experiments and trice are driven efficient simulations.
关键词：MECA; offloading system; augmented reality; application partitioning; dynamic applications MECA ; offloading system ; augmented reality ; application partitioning ; dynamic applications