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Survey of distributed algorithms for resource allocation over multi-agent systems

delete2024-11-29
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PRE
AI
M
Mohammadreza Doostmohammadian *
A
Alireza Aghasi
M
Mohammad Pirani
E
Ehsan Nekouei
H
Houman Zarrabi
R
Reza Keypour
A
Apostolos I. Rikos
K
Karl Henrik Johansson
DOI:10.1016/j.arcontrol.2024.100983delete
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Abstract

Abstract

En 中文
• Clearly defining the problem of resource allocation and scheduling in multi-agent systems and presenting a formal mathematical framework that captures its essence. • Exploring various real-world applications where resource allocation and scheduling are crucial in cloud computing, transportation systems, and smart grids. • Summarizing state-of-the-art solutions for distributed resource allocation, including linear, nonlinear, primal-based, and dual-formulation-based approaches. • Analysing different features of the existing algorithms in terms of feasibility, convergence, and network reliability.

Journal

Annual Reviews in Control cover
Annual Reviews in Control
IF:
10.7
Papers:
828
Citations:
5.9K

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K
KTH Royal Institute of Technology
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1.3K
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Oregon State University
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I
iran telecom research center (itrc)
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1
Papers: 1
Citations: 0
C
City University of Hong Kong
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2.3W
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U
University of Ottawa
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Papers: 3.1W
Citations: 3.8W
S
semnan university
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Papers: 3.2K
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