Paper Info
Title
Task Priority-Based Resource Allocation Algorithm For Task Offloading In Fog-Enabled Iot Systems
Abstract
In the IoT-based systems, the integration of fog computing allows the fog nodes to offload and process tasks requested from IoT-enabled devices in a distributed manner to reduce the response delay. However, achieving such a benefit is still challenging in the heterogeneous fog systems in which long task queues of powerful fogs can contribute to an average long delay of task execution. To handle the conflict of resource request for task processing this paper proposes a distributed fog resource allocation algorithms, namely TPRA (Task Priority based Resource Allocation). Through the simulation analysis, TPRA show potential advantages in reducing the average delay in the heterogeneous fog environment compared with the existing solutions.
Year
DOI
Venue
2021
10.1109/ICOIN50884.2021.9333992
35TH INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2021)
Keywords
DocType
Citations 
Fog-enabled IoT Systems, Fog Computing, Task Offloading, Task Priority, Workflow
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Hoa Tran-Dang1134.85
Dong Seong Kim286693.34