Application of Auction Mechanisms and Multi-Agent Technologies for Resource and Task Allocation in Distributed Computing Systems

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Application of Auction Mechanisms and Multi-Agent Technologies for Resource and Task Allocation in Distributed Computing Systems. / Терещенко, Дмитрий Владиславович ; Корхов, Владимир Владиславович.

In: Physics of Particles and Nuclei, Vol. 57, No. 4, 20.07.2026, p. 843-845.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{0d3d499a4f5443ac8c341227ebabc145,

title = "Application of Auction Mechanisms and Multi-Agent Technologies for Resource and Task Allocation in Distributed Computing Systems",

abstract = "Abstract: The Internet of Things (IoT) integrates numerous devices with limited computational resources, where local data processing at the Edge level reduces latency and improves energy efficiency. Distributed IoT systems face challenges of scalability and adaptability, as centralized models are inefficient in dynamic environments. Multi-agent systems with auction mechanisms enable decentralized, self-organizing, and fair resource allocation, enhancing the resilience and efficiency of IoT infrastructures.",

author = "Терещенко, {Дмитрий Владиславович} and Корхов, {Владимир Владиславович}",

year = "2026",

month = jul,

day = "20",

doi = "10.1134/s1063779626701017",

language = "English",

volume = "57",

pages = "843--845",

journal = "Physics of Particles and Nuclei",

issn = "1063-7796",

publisher = "МАИК {"}Наука/Интерпериодика{"}",

number = "4",

}

RIS

TY - JOUR

T1 - Application of Auction Mechanisms and Multi-Agent Technologies for Resource and Task Allocation in Distributed Computing Systems

AU - Терещенко, Дмитрий Владиславович

AU - Корхов, Владимир Владиславович

PY - 2026/7/20

Y1 - 2026/7/20

N2 - Abstract: The Internet of Things (IoT) integrates numerous devices with limited computational resources, where local data processing at the Edge level reduces latency and improves energy efficiency. Distributed IoT systems face challenges of scalability and adaptability, as centralized models are inefficient in dynamic environments. Multi-agent systems with auction mechanisms enable decentralized, self-organizing, and fair resource allocation, enhancing the resilience and efficiency of IoT infrastructures.

AB - Abstract: The Internet of Things (IoT) integrates numerous devices with limited computational resources, where local data processing at the Edge level reduces latency and improves energy efficiency. Distributed IoT systems face challenges of scalability and adaptability, as centralized models are inefficient in dynamic environments. Multi-agent systems with auction mechanisms enable decentralized, self-organizing, and fair resource allocation, enhancing the resilience and efficiency of IoT infrastructures.

UR - https://www.mendeley.com/catalogue/c96af778-a645-3bc9-9daf-c6ccded4ef9c/

U2 - 10.1134/s1063779626701017

DO - 10.1134/s1063779626701017

M3 - Article

VL - 57

SP - 843

EP - 845

JO - Physics of Particles and Nuclei

JF - Physics of Particles and Nuclei

SN - 1063-7796

IS - 4

ER -

ID: 162114717