Resource Management Across Edge Server in Mobile Edge Computing
Mobile Edge Computing (MEC) has the potential to provide computational resources to edge devices. The Edge device (Ed) does not have enough computational resources, so it offloads its tasks to nearby Mobile Edge Servers (MES), while sometimes offloading tasks to MES causes MES to overload. The overl...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10758646/ |
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| author | Saifur Rahman Mazhar Hussain Syed Ibad Ali Shah Zaiwar Ali Muhammad Ayaz Khan Grzegorz Nowakowski Marek Sieja Muhammad Irfan Fazal Muhammad |
| author_facet | Saifur Rahman Mazhar Hussain Syed Ibad Ali Shah Zaiwar Ali Muhammad Ayaz Khan Grzegorz Nowakowski Marek Sieja Muhammad Irfan Fazal Muhammad |
| author_sort | Saifur Rahman |
| collection | DOAJ |
| description | Mobile Edge Computing (MEC) has the potential to provide computational resources to edge devices. The Edge device (Ed) does not have enough computational resources, so it offloads its tasks to nearby Mobile Edge Servers (MES), while sometimes offloading tasks to MES causes MES to overload. The overload state of MES is when the data occupies all the CPU cores and memory of MES, so MES rejects requests for data offloading from other Eds. In this research, we have considered a multi-server, multi-device scenario, for which we have proposed an algorithm called CPU Memory Mobility Resource Allocation (CMMRA) that does not reject Ed from providing computational resources and encourages them to migrate the task to another MES in case the current MES is overloaded. The algorithm increases the service rate of a communication area, the rejection rate of the devices is also reduced, the total processing time of MES in this research is less as compared to others, and the migration in our proposed algorithm is greater than others. As we consider the mobility of devices and many devices are requesting computational resources, if the current MES is busy, it migrates the task to an underloaded MES for computation. |
| format | Article |
| id | doaj-art-f1dba3618607478c8ec589c9d2101a0c |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-f1dba3618607478c8ec589c9d2101a0c2024-12-13T00:01:18ZengIEEEIEEE Access2169-35362024-01-011218157918158910.1109/ACCESS.2024.350305810758646Resource Management Across Edge Server in Mobile Edge ComputingSaifur Rahman0https://orcid.org/0000-0002-7262-183XMazhar Hussain1https://orcid.org/0009-0008-7775-7163Syed Ibad Ali Shah2https://orcid.org/0009-0001-2158-1102Zaiwar Ali3https://orcid.org/0000-0003-3862-8066Muhammad Ayaz Khan4https://orcid.org/0009-0009-9754-9350Grzegorz Nowakowski5https://orcid.org/0000-0002-3086-0947Marek Sieja6Muhammad Irfan7Fazal Muhammad8https://orcid.org/0000-0003-0405-0083Electrical Engineering Department, College of Engineering, Najran University, Najran, Saudi ArabiaFaculty of Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, PakistanFaculty of Electrical Engineering, University of Engineering and Technology at Mardan, Mardan, PakistanFaculty of Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, PakistanDepartment of Engineering Management, University of Chester, Chester, U.K.Faculty of Electrical and Computer Engineering, Cracow University of Technology, Cracow, PolandFaculty of Electrical and Computer Engineering, Cracow University of Technology, Cracow, PolandElectrical Engineering Department, College of Engineering, Najran University, Najran, Saudi ArabiaFaculty of Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, PakistanMobile Edge Computing (MEC) has the potential to provide computational resources to edge devices. The Edge device (Ed) does not have enough computational resources, so it offloads its tasks to nearby Mobile Edge Servers (MES), while sometimes offloading tasks to MES causes MES to overload. The overload state of MES is when the data occupies all the CPU cores and memory of MES, so MES rejects requests for data offloading from other Eds. In this research, we have considered a multi-server, multi-device scenario, for which we have proposed an algorithm called CPU Memory Mobility Resource Allocation (CMMRA) that does not reject Ed from providing computational resources and encourages them to migrate the task to another MES in case the current MES is overloaded. The algorithm increases the service rate of a communication area, the rejection rate of the devices is also reduced, the total processing time of MES in this research is less as compared to others, and the migration in our proposed algorithm is greater than others. As we consider the mobility of devices and many devices are requesting computational resources, if the current MES is busy, it migrates the task to an underloaded MES for computation.https://ieeexplore.ieee.org/document/10758646/Mobile edge computingresource allocationmobile edge serveredge device |
| spellingShingle | Saifur Rahman Mazhar Hussain Syed Ibad Ali Shah Zaiwar Ali Muhammad Ayaz Khan Grzegorz Nowakowski Marek Sieja Muhammad Irfan Fazal Muhammad Resource Management Across Edge Server in Mobile Edge Computing IEEE Access Mobile edge computing resource allocation mobile edge server edge device |
| title | Resource Management Across Edge Server in Mobile Edge Computing |
| title_full | Resource Management Across Edge Server in Mobile Edge Computing |
| title_fullStr | Resource Management Across Edge Server in Mobile Edge Computing |
| title_full_unstemmed | Resource Management Across Edge Server in Mobile Edge Computing |
| title_short | Resource Management Across Edge Server in Mobile Edge Computing |
| title_sort | resource management across edge server in mobile edge computing |
| topic | Mobile edge computing resource allocation mobile edge server edge device |
| url | https://ieeexplore.ieee.org/document/10758646/ |
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