AGENT BASED APPROACH FOR TASK OFFLOADING IN EDGE COMPUTING
Due to limited resource capacity in the edge network and a high volume of tasks offloaded to edge servers, edge resources may be unable to provide the required capacity for serving all tasks. As a result, some tasks should be moved to the cloud, which may cause additional delays. This may lead to di...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)
2023-06-01
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| Series: | Jordanian Journal of Computers and Information Technology |
| Subjects: | |
| Online Access: | https://www.jjcit.org/?mno=137551 |
| _version_ | 1797814577128275968 |
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| author | Hossein Morshedlou Reza Vafa Shoar |
| author_facet | Hossein Morshedlou Reza Vafa Shoar |
| author_sort | Hossein Morshedlou |
| collection | DOAJ |
| description | Due to limited resource capacity in the edge network and a high volume of tasks offloaded to edge servers, edge resources may be unable to provide the required capacity for serving all tasks. As a result, some tasks should be moved to the cloud, which may cause additional delays. This may lead to dissatisfaction among users of the transferred tasks. In this paper, a new agent-based approach to decision-making is presented about which tasks should be transferred to the cloud and which ones should be served locally. This approach tries to pair tasks with resources such that a paired resource is the most preferred resource by the user or task among all available resources. We demonstrate that reaching a Nash Equilibrium point can satisfy the aforementioned condition. A game-theoretic analysis is included to demonstrate that the presented approach increases the average utility of the user and their level of satisfaction. [JJCIT 2023; 9(2.000): 154-165] |
| first_indexed | 2024-03-13T08:09:44Z |
| format | Article |
| id | doaj.art-ae96a8b029b04673b927e7c4d3120211 |
| institution | Directory Open Access Journal |
| issn | 2413-9351 |
| language | English |
| last_indexed | 2024-03-13T08:09:44Z |
| publishDate | 2023-06-01 |
| publisher | Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) |
| record_format | Article |
| series | Jordanian Journal of Computers and Information Technology |
| spelling | doaj.art-ae96a8b029b04673b927e7c4d31202112023-05-31T23:04:00ZengScientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)Jordanian Journal of Computers and Information Technology2413-93512023-06-019215416510.5455/jjcit.71-1673098290137551AGENT BASED APPROACH FOR TASK OFFLOADING IN EDGE COMPUTINGHossein Morshedlou0Reza Vafa Shoar1Department of Computer Engineering and Information Technology, Shahrood University of Technology Department of Computer Engineering, AmirKabir University of TechnologyDue to limited resource capacity in the edge network and a high volume of tasks offloaded to edge servers, edge resources may be unable to provide the required capacity for serving all tasks. As a result, some tasks should be moved to the cloud, which may cause additional delays. This may lead to dissatisfaction among users of the transferred tasks. In this paper, a new agent-based approach to decision-making is presented about which tasks should be transferred to the cloud and which ones should be served locally. This approach tries to pair tasks with resources such that a paired resource is the most preferred resource by the user or task among all available resources. We demonstrate that reaching a Nash Equilibrium point can satisfy the aforementioned condition. A game-theoretic analysis is included to demonstrate that the presented approach increases the average utility of the user and their level of satisfaction. [JJCIT 2023; 9(2.000): 154-165]https://www.jjcit.org/?mno=137551edge computingtask offloadingnash equilibriumagentuser satisfaction |
| spellingShingle | Hossein Morshedlou Reza Vafa Shoar AGENT BASED APPROACH FOR TASK OFFLOADING IN EDGE COMPUTING Jordanian Journal of Computers and Information Technology edge computing task offloading nash equilibrium agent user satisfaction |
| title | AGENT BASED APPROACH FOR TASK OFFLOADING IN EDGE COMPUTING |
| title_full | AGENT BASED APPROACH FOR TASK OFFLOADING IN EDGE COMPUTING |
| title_fullStr | AGENT BASED APPROACH FOR TASK OFFLOADING IN EDGE COMPUTING |
| title_full_unstemmed | AGENT BASED APPROACH FOR TASK OFFLOADING IN EDGE COMPUTING |
| title_short | AGENT BASED APPROACH FOR TASK OFFLOADING IN EDGE COMPUTING |
| title_sort | agent based approach for task offloading in edge computing |
| topic | edge computing task offloading nash equilibrium agent user satisfaction |
| url | https://www.jjcit.org/?mno=137551 |
| work_keys_str_mv | AT hosseinmorshedlou agentbasedapproachfortaskoffloadinginedgecomputing AT rezavafashoar agentbasedapproachfortaskoffloadinginedgecomputing |