Ruin Theory for User Association and Energy Optimization in Multi-Access Edge Computing Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1109/tvt.2023.3269427
In this correspondence, a novel framework is proposed for analyzing data offloading in a multi-access edge computing system. Specifically, a two-phase algorithm, is proposed, including two key phases: 1) user association phase and 2) task offloading phase. In the first phase, a ruin theory-based approach is developed to obtain the users association considering the users' transmission reliability and resource utilization efficiency. Meanwhile, in the second phase, an optimization-based algorithm is used to optimize the data offloading process. In particular, ruin theory is used to manage the user association phase, and a ruin probability-based preference profile is considered to control the priority of proposing users. Here, ruin probability is derived by the surplus buffer space of each edge node at each time slot. Giving the association results, an optimization problem is formulated to optimize the amount of offloaded data aiming at minimizing the energy consumption of users. Simulation results show that the developed solutions guarantee system reliability, association efficiency under a tolerable value of surplus buffer size, and minimize the total energy consumption of all users.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tvt.2023.3269427
- OA Status
- green
- Cited By
- 7
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4366835548
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4366835548Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/tvt.2023.3269427Digital Object Identifier
- Title
-
Ruin Theory for User Association and Energy Optimization in Multi-Access Edge ComputingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-24Full publication date if available
- Authors
-
Do Hyeon Kim, Aunas Manzoor, Madyan Alsenwi, Yan Kyaw Tun, Walid Saad, Choong Seon HongList of authors in order
- Landing page
-
https://doi.org/10.1109/tvt.2023.3269427Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2107.00901Direct OA link when available
- Concepts
-
Computer science, Reliability (semiconductor), Node (physics), Energy consumption, Enhanced Data Rates for GSM Evolution, Transmission (telecommunications), Interval (graph theory), Mathematical optimization, Association (psychology), Task (project management), Key (lock), Distributed computing, Engineering, Mathematics, Computer security, Physics, Quantum mechanics, Structural engineering, Telecommunications, Electrical engineering, Systems engineering, Power (physics), Combinatorics, Philosophy, EpistemologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 4, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
22Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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