Energy-Efficient Task Offloading for Time-Sensitive Applications in Fog Computing

Fog computing has attracted considerable attention to meet the location awareness and real-time response requirements of various applications. However, compared to cloud computing, fog devices have relatively limited power supplies, computation resources, and communication resources, raising design...

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Bibliographic Details
Published in:IEEE systems journal 2019-09, Vol.13 (3), p.2930-2941
Main Authors: Jiang, Yu-Lin, Chen, Ya-Shu, Yang, Su-Wei, Wu, Chia-Hsueh
Format: Article
Language:English
Subjects:
Cloud computing
Edge computing
Energy consumption
Energy efficiency
Energy management
fog computing
Internet of Things
offloading
Power management
Power supplies
Processor scheduling
Real time
Real-time systems
Response time
Run time (computers)
Servers
Task analysis
Time response
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Summary:Fog computing has attracted considerable attention to meet the location awareness and real-time response requirements of various applications. However, compared to cloud computing, fog devices have relatively limited power supplies, computation resources, and communication resources, raising design challenges to meet real-time response requirements. To balance response time and energy consumption for multiple fog devices running multiple applications, this work presents an energy-efficient offloading decision mechanism and an offloading dispatcher to dispatch applications to the corresponding device by effectively managing the computation and communication resources of all devices in a fog computing environment. The offloading tasks are composed of several subtasks with an end-to-end deadline. To meet the response time requirements of such applications, a run-time scheduler with an end-to-end latency schedulability consideration is also presented. Evaluation results show considerable energy savings using this framework and a real platform study provides validation.
ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2018.2877850