Ruin Theory for User Association and Energy Optimization in Multi-Access Edge Computing

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 ap...

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Bibliographic Details
Published inIEEE transactions on vehicular technology Vol. 72; no. 9; pp. 1 - 5
Main Authors Kim, Do Hyeon, Manzoor, Aunas, Alsenwi, Madyan, Tun, Yan Kyaw, Saad, Walid, Hong, Choong Seon
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Buffers
Computation offloading
Computational modeling
convex optimization
Edge computing
Energy consumption
Mobile computing
multi-access edge computing
Optimization
Resource management
Resource utilization
Ruin theory
Servers
System reliability
Task analysis
Uplink
user association
Wireless communication
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Summary: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.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3269427