Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network
Nowadays, the usage of the fog cloud-based Internet of Things (IoT) applications among users has been growing progressively. These applications may be E-Transport, E-Healthcare, Augmented Reality, and 3D-Game. Generally, contemporary cloud frameworks offer services based on virtual machines. These f...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9042334/ |
| _version_ | 1818934587956396032 |
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| author | Xuehua Zhao Changcheng Huang |
| author_facet | Xuehua Zhao Changcheng Huang |
| author_sort | Xuehua Zhao |
| collection | DOAJ |
| description | Nowadays, the usage of the fog cloud-based Internet of Things (IoT) applications among users has been growing progressively. These applications may be E-Transport, E-Healthcare, Augmented Reality, and 3D-Game. Generally, contemporary cloud frameworks offer services based on virtual machines. These frameworks incurred with following issues such as long boot-time, overhead and unnecessary cost to run the IoT applications. We propose a new Microservice container fog system (MSCFS) based framework to run the mobility and delay-sensitive applications with minimum cost. The study the cost-efficient task scheduling problem in the heterogeneous fog servers. Furthermore, the study introduces the Cost Aware Computational Offloading and task scheduling (CACOTS)framework, which solves the task scheduling into multiple steps. Such as task sequencing step, resource matching step and scheduling step. The experimental results prove that the proposed MSCFS and CACOTS schemes can enhance server utilization. As decrease the services latency and average services bootup time more effectively, and minimize costs. |
| first_indexed | 2024-12-20T05:06:39Z |
| format | Article |
| id | doaj.art-1f8cbdae259b49c296ed30a96023b285 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T05:06:39Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1f8cbdae259b49c296ed30a96023b2852022-12-21T19:52:22ZengIEEEIEEE Access2169-35362020-01-018566805669410.1109/ACCESS.2020.29818609042334Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud NetworkXuehua Zhao0https://orcid.org/0000-0002-0003-285XChangcheng Huang1https://orcid.org/0000-0002-3648-9034School of Digital Media, Shenzhen Institute of Information Technology, Shenzhen, ChinaDepartment of Computer Science, Wenzhou University, Wenzhou, ChinaNowadays, the usage of the fog cloud-based Internet of Things (IoT) applications among users has been growing progressively. These applications may be E-Transport, E-Healthcare, Augmented Reality, and 3D-Game. Generally, contemporary cloud frameworks offer services based on virtual machines. These frameworks incurred with following issues such as long boot-time, overhead and unnecessary cost to run the IoT applications. We propose a new Microservice container fog system (MSCFS) based framework to run the mobility and delay-sensitive applications with minimum cost. The study the cost-efficient task scheduling problem in the heterogeneous fog servers. Furthermore, the study introduces the Cost Aware Computational Offloading and task scheduling (CACOTS)framework, which solves the task scheduling into multiple steps. Such as task sequencing step, resource matching step and scheduling step. The experimental results prove that the proposed MSCFS and CACOTS schemes can enhance server utilization. As decrease the services latency and average services bootup time more effectively, and minimize costs.https://ieeexplore.ieee.org/document/9042334/Task schedulingfog serversboot-up timemicroservicescontainer |
| spellingShingle | Xuehua Zhao Changcheng Huang Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network IEEE Access Task scheduling fog servers boot-up time microservices container |
| title | Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network |
| title_full | Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network |
| title_fullStr | Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network |
| title_full_unstemmed | Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network |
| title_short | Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network |
| title_sort | microservice based computational offloading framework and cost efficient task scheduling algorithm in heterogeneous fog cloud network |
| topic | Task scheduling fog servers boot-up time microservices container |
| url | https://ieeexplore.ieee.org/document/9042334/ |
| work_keys_str_mv | AT xuehuazhao microservicebasedcomputationaloffloadingframeworkandcostefficienttaskschedulingalgorithminheterogeneousfogcloudnetwork AT changchenghuang microservicebasedcomputationaloffloadingframeworkandcostefficienttaskschedulingalgorithminheterogeneousfogcloudnetwork |