Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing
As an emerging computing model close to the end-user, fog computing can move tasks from the cloud to the fog device to process, and make up for the lack of cloud computing in terms of mobile support, delay and location-aware. Due to the less computing resources and weak processing ability of fog dev...
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doaj-4429b0c93eba44ba902bdb14777d569f2021-03-30T01:26:49ZengIEEEIEEE Access2169-35362020-01-018323853239410.1109/ACCESS.2020.29737588998249Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog ComputingShudong Wang0https://orcid.org/0000-0003-4360-6718Tianyu Zhao1https://orcid.org/0000-0001-7280-2190Shanchen Pang2https://orcid.org/0000-0002-5705-1218School of Computer Science and Technology, China University of Petroleum (East China), Qingdao, ChinaSchool of Computer Science and Technology, China University of Petroleum (East China), Qingdao, ChinaSchool of Computer Science and Technology, China University of Petroleum (East China), Qingdao, ChinaAs an emerging computing model close to the end-user, fog computing can move tasks from the cloud to the fog device to process, and make up for the lack of cloud computing in terms of mobile support, delay and location-aware. Due to the less computing resources and weak processing ability of fog devices, the lightweight computing has been the primary choice, higher requirements are imposed for time and load. Therefore, in the Cloud-fog computing architecture, a new task scheduling method(I-FASC) is proposed for the characteristics of tasks and resources, including an improved firework algorithm (I-FA) is proposed by introducing the explosion radius detection mechanism of fireworks. By two sets of experiments show this method can better reduce the processing time of the task and ensure better overall load balancing of fog devices in a cloud-fog computing system.https://ieeexplore.ieee.org/document/8998249/Cloud computingfog computingInternet of Things (IoT)task scheduling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shudong Wang Tianyu Zhao Shanchen Pang |
spellingShingle |
Shudong Wang Tianyu Zhao Shanchen Pang Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing IEEE Access Cloud computing fog computing Internet of Things (IoT) task scheduling |
author_facet |
Shudong Wang Tianyu Zhao Shanchen Pang |
author_sort |
Shudong Wang |
title |
Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing |
title_short |
Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing |
title_full |
Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing |
title_fullStr |
Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing |
title_full_unstemmed |
Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing |
title_sort |
task scheduling algorithm based on improved firework algorithm in fog computing |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
As an emerging computing model close to the end-user, fog computing can move tasks from the cloud to the fog device to process, and make up for the lack of cloud computing in terms of mobile support, delay and location-aware. Due to the less computing resources and weak processing ability of fog devices, the lightweight computing has been the primary choice, higher requirements are imposed for time and load. Therefore, in the Cloud-fog computing architecture, a new task scheduling method(I-FASC) is proposed for the characteristics of tasks and resources, including an improved firework algorithm (I-FA) is proposed by introducing the explosion radius detection mechanism of fireworks. By two sets of experiments show this method can better reduce the processing time of the task and ensure better overall load balancing of fog devices in a cloud-fog computing system. |
topic |
Cloud computing fog computing Internet of Things (IoT) task scheduling |
url |
https://ieeexplore.ieee.org/document/8998249/ |
work_keys_str_mv |
AT shudongwang taskschedulingalgorithmbasedonimprovedfireworkalgorithminfogcomputing AT tianyuzhao taskschedulingalgorithmbasedonimprovedfireworkalgorithminfogcomputing AT shanchenpang taskschedulingalgorithmbasedonimprovedfireworkalgorithminfogcomputing |
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1724187006960926720 |