Security-Aware computation offloading for Mobile edge computing-Enabled smart city
Abstract Smart city has obtained increasing attention from both academic and industry which has the potential to improve human living standards. A smart city consists of a great number of smart devices which are generating large amounts of data and emerging applications all the time. However, the co...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-08-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-021-00262-6 |
| _version_ | 1818669251423109120 |
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| author | Kai Peng Peichen Liu Peng Tao Qingjia Huang |
| author_facet | Kai Peng Peichen Liu Peng Tao Qingjia Huang |
| author_sort | Kai Peng |
| collection | DOAJ |
| description | Abstract Smart city has obtained increasing attention from both academic and industry which has the potential to improve human living standards. A smart city consists of a great number of smart devices which are generating large amounts of data and emerging applications all the time. However, the computing capacity of smart devices are limited. Fortunately, the emergence of MEC can solve the above problem. However, the resources of edge servers in MEC are limited and the capabilities of edge servers are heterogeneous. It is important to improve the average resource utilization of all edge servers and keep load balancing of edge server cluster simultaneously. On the other hand, quite a few numbers of applications are delay-sensitive, it is necessary to ensure the security of these applications. In this paper, we consider joint optimization of mobile device and edge server in MEC-enabled smart city, improving the overall performance of the system. Technically, a new multi-objective computation offloading method is implemented to reduce time consumption, energy consumption, and keep load balancing of edge servers, as well as increase average resource utilization of edge servers while meeting the deadline constraint of delay-sensitive applications. Sufficient experiments have been conducted to prove the effectiveness and superiority of our proposed method in different scenarios. |
| first_indexed | 2024-12-17T06:49:15Z |
| format | Article |
| id | doaj.art-c38382292c4e43f7ba97d6047dc80202 |
| institution | Directory Open Access Journal |
| issn | 2192-113X |
| language | English |
| last_indexed | 2024-12-17T06:49:15Z |
| publishDate | 2021-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj.art-c38382292c4e43f7ba97d6047dc802022022-12-21T21:59:39ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2021-08-0110111310.1186/s13677-021-00262-6Security-Aware computation offloading for Mobile edge computing-Enabled smart cityKai Peng0Peichen Liu1Peng Tao2Qingjia Huang3College of Engineering, Huaqiao UniversityCollege of Engineering, Huaqiao UniversitySincetech (Fujian) Technology Co., LtdInstitute of Information Engineering, Chinese Academy of SciencesAbstract Smart city has obtained increasing attention from both academic and industry which has the potential to improve human living standards. A smart city consists of a great number of smart devices which are generating large amounts of data and emerging applications all the time. However, the computing capacity of smart devices are limited. Fortunately, the emergence of MEC can solve the above problem. However, the resources of edge servers in MEC are limited and the capabilities of edge servers are heterogeneous. It is important to improve the average resource utilization of all edge servers and keep load balancing of edge server cluster simultaneously. On the other hand, quite a few numbers of applications are delay-sensitive, it is necessary to ensure the security of these applications. In this paper, we consider joint optimization of mobile device and edge server in MEC-enabled smart city, improving the overall performance of the system. Technically, a new multi-objective computation offloading method is implemented to reduce time consumption, energy consumption, and keep load balancing of edge servers, as well as increase average resource utilization of edge servers while meeting the deadline constraint of delay-sensitive applications. Sufficient experiments have been conducted to prove the effectiveness and superiority of our proposed method in different scenarios.https://doi.org/10.1186/s13677-021-00262-6Smart cityMECComputation offloadingMOMBI |
| spellingShingle | Kai Peng Peichen Liu Peng Tao Qingjia Huang Security-Aware computation offloading for Mobile edge computing-Enabled smart city Journal of Cloud Computing: Advances, Systems and Applications Smart city MEC Computation offloading MOMBI |
| title | Security-Aware computation offloading for Mobile edge computing-Enabled smart city |
| title_full | Security-Aware computation offloading for Mobile edge computing-Enabled smart city |
| title_fullStr | Security-Aware computation offloading for Mobile edge computing-Enabled smart city |
| title_full_unstemmed | Security-Aware computation offloading for Mobile edge computing-Enabled smart city |
| title_short | Security-Aware computation offloading for Mobile edge computing-Enabled smart city |
| title_sort | security aware computation offloading for mobile edge computing enabled smart city |
| topic | Smart city MEC Computation offloading MOMBI |
| url | https://doi.org/10.1186/s13677-021-00262-6 |
| work_keys_str_mv | AT kaipeng securityawarecomputationoffloadingformobileedgecomputingenabledsmartcity AT peichenliu securityawarecomputationoffloadingformobileedgecomputingenabledsmartcity AT pengtao securityawarecomputationoffloadingformobileedgecomputingenabledsmartcity AT qingjiahuang securityawarecomputationoffloadingformobileedgecomputingenabledsmartcity |