Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing Networks
Mobile Edge Computing (MEC) is an innovative technique, which can provide cloud-computing near mobile devices on the edge of networks. Based on the MEC architecture, this paper proposes an ARIMA-BP-based Selective Offloading (ABSO) strategy, which minimizes the energy consumption of mobile devices w...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-02-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/12/2/48 |
| _version_ | 1818948111170535424 |
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| author | Ming Zhao Ke Zhou |
| author_facet | Ming Zhao Ke Zhou |
| author_sort | Ming Zhao |
| collection | DOAJ |
| description | Mobile Edge Computing (MEC) is an innovative technique, which can provide cloud-computing near mobile devices on the edge of networks. Based on the MEC architecture, this paper proposes an ARIMA-BP-based Selective Offloading (ABSO) strategy, which minimizes the energy consumption of mobile devices while meeting the delay requirements. In ABSO, we exploit an ARIMA-BP model for estimating computation capacity of the edge cloud, and then design a Selective Offloading Algorithm for obtaining offloading strategy. Simulation results reveal that the ABSO can apparently decrease the energy consumption of mobile devices in comparison with other offloading methods. |
| first_indexed | 2024-12-20T08:41:36Z |
| format | Article |
| id | doaj.art-abeb733ffb5d46c4b4ed8ff61e955dcf |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-12-20T08:41:36Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-abeb733ffb5d46c4b4ed8ff61e955dcf2022-12-21T19:46:22ZengMDPI AGAlgorithms1999-48932019-02-011224810.3390/a12020048a12020048Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing NetworksMing Zhao0Ke Zhou1School of Software, Central South University, Tianxin District, Changsha 410075, ChinaSchool of Software, Central South University, Tianxin District, Changsha 410075, ChinaMobile Edge Computing (MEC) is an innovative technique, which can provide cloud-computing near mobile devices on the edge of networks. Based on the MEC architecture, this paper proposes an ARIMA-BP-based Selective Offloading (ABSO) strategy, which minimizes the energy consumption of mobile devices while meeting the delay requirements. In ABSO, we exploit an ARIMA-BP model for estimating computation capacity of the edge cloud, and then design a Selective Offloading Algorithm for obtaining offloading strategy. Simulation results reveal that the ABSO can apparently decrease the energy consumption of mobile devices in comparison with other offloading methods.https://www.mdpi.com/1999-4893/12/2/48task offloadingmobile edge computing (MEC)ARIMA-BPenergy efficient |
| spellingShingle | Ming Zhao Ke Zhou Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing Networks Algorithms task offloading mobile edge computing (MEC) ARIMA-BP energy efficient |
| title | Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing Networks |
| title_full | Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing Networks |
| title_fullStr | Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing Networks |
| title_full_unstemmed | Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing Networks |
| title_short | Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing Networks |
| title_sort | selective offloading by exploiting arima bp for energy optimization in mobile edge computing networks |
| topic | task offloading mobile edge computing (MEC) ARIMA-BP energy efficient |
| url | https://www.mdpi.com/1999-4893/12/2/48 |
| work_keys_str_mv | AT mingzhao selectiveoffloadingbyexploitingarimabpforenergyoptimizationinmobileedgecomputingnetworks AT kezhou selectiveoffloadingbyexploitingarimabpforenergyoptimizationinmobileedgecomputingnetworks |