A Method Based on Iterative Combinatorial Auction Mechanism for Resource Allocation in Grid Multi-agent Systems

2009 ◽  
Author(s):  
Liu Xing ◽  
Zhao Lan
Keyword(s):  
Resource Allocation ◽  
Combinatorial Auction ◽  
Multi Agent Systems ◽  
Auction Mechanism ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Distributed resource allocation in cloud computing using multi-agent systems

2017 ◽  
Vol 9 (2) ◽  
pp. 110-115 ◽  
Author(s):  
Artan Mazrekaj ◽  
Dorian Minarolli ◽  
Bernd Freisleben
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Multi Agent Systems ◽  
Distributed Resource Allocation ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Maximin Share Allocations on Cycles

2020 ◽  
Vol 69 ◽  
pp. 613-655
Author(s):  
Miroslaw Truszczynski ◽  
Zbigniew Lonc
Keyword(s):  
Resource Allocation ◽  
Social Choice ◽  
Fundamental Problem ◽  
Fair Division ◽  
Connected Subgraph ◽  
Indivisible Goods ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Share Value

The problem of fair division of indivisible goods is a fundamental problem of resource allocation in multi-agent systems, also studied extensively in social choice. Recently, the problem was generalized to the case when goods form a graph and the goal is to allocate goods to agents so that each agent’s bundle forms a connected subgraph. For the maximin share fairness criterion, researchers proved that if goods form a tree, an allocation offering each agent a bundle of at least her maximin share value always exists. Moreover, it can be found in polynomial time. In this paper we consider the problem of maximin share allocations of goods on a cycle. Despite the simplicity of the graph, the problem turns out to be significantly harder than its tree version. We present cases when maximin share allocations of goods on cycles exist and provide in this case results on allocations guaranteeing each agent a certain fraction of her maximin share. We also study algorithms for computing maximin share allocations of goods on cycles.

scholarly journals Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Arun Sukumaran Nair ◽  
Tareq Hossen ◽  
Mitch Campion ◽  
Daisy Flora Selvaraj ◽  
Neena Goveas ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Renewable Energy ◽  
Smart Grid ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Grid System ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

AbstractWith the increasing integration of Distributed Energy Resources (DER) in the power grid, a decentralized approach becomes essential for scheduling and allocation of resources in a smart grid. Economic Dispatch (ED) and Unit Commitment (UC) are the two major resource allocation problems that play critical role in the safe and stable operation of a grid system. The uncertainty associated with renewable energy sources have made the resource allocation problems even more challenging for grid operators. The future grid will have a higher generation mix of renewable energy sources and a large load of Electrical vehicles, with the possibility of bi-directional power flow. This complex smart grid system necessitates the development of a decentralized approach to resource allocation problem, which allows inter-node communication and decision making. Multi-agent systems (MAS) is a promising platform to decentralize the traditional centralized resource allocation aspects of smart grid. This paper presents a comprehensive literature review on the application of MAS to Economic Dispatch (ED) and Unit Commitment (UC) in smart grids.

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