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Impact of Task Splitting on the Delay Performance of Task Offloading in the IoT-enabled Fog Systems - 2021

Impact of Task Splitting on the Delay Performance of Task Offloading in the IoT-enabled Fog Systems

Research Area:  Fog Computing

Abstract:

The integration of fog computing technology into the IoT-enabled systems is expected to improve the computing performance of system in terms of delay through task offloading mechanisms. However, to gain such a benefit, the schemes must consider many factors including the heterogeneity nature of fog computing environment, a variety of task requirements and characteristics. In some scenarios, many of single fogs cannot process heavy tasks due to lack of available resources or limited computing capabilities. Meanwhile, fogs with richer resources may have long queues of waiting tasks, thus probably increasing the overall delay of task execution. This paper proposes to use a task splitting to cope with the issues and investigate this impact on the delay of task offloading.

Keywords:  

Author(s) Name:  Hoa Tran-Dang; Dong-Seong Kim

Journal name:  

Conferrence name:  International Conference on Information and Communication Technology Convergence

Publisher name:  IEEE

DOI:  10.1109/ICTC52510.2021.9620809

Volume Information: