scholarly journals Multi‐agent consensus for distributed power dispatch with load balancing

2019 ◽  
Author(s):  
Kenta Hanada ◽  
Takayuki Wada ◽  
Izumi Masubuchi ◽  
Toru Asai ◽  
Yasumasa Fujisaki
Keyword(s):  
Load Balancing ◽  
Distributed Power ◽  
Power Dispatch ◽  
Multi Agent

A multi-agent based integrated volt-var optimization engine for fast vehicle-to-grid reactive power dispatch and electric vehicle coordination

2018 ◽  
Vol 229 ◽  
pp. 96-110 ◽  
Author(s):  
Wenjie Zhang ◽  
Oktoviano Gandhi ◽  
Hao Quan ◽  
Carlos D. Rodríguez-Gallegos ◽  
Dipti Srinivasan
Keyword(s):  
Electric Vehicle ◽  
Reactive Power ◽  
Agent Based ◽  
Vehicle To Grid ◽  
Power Dispatch ◽  
Multi Agent ◽  
Reactive Power Dispatch

A multi-agent system performing one-to-many negotiation for load balancing of electricity use

2002 ◽  
Vol 1 (2) ◽  
pp. 208-224 ◽  
Author(s):  
Frances M.T. Brazier ◽  
Frank Cornelissen ◽  
Rune Gustavsson ◽  
Catholijn M. Jonker ◽  
Olle Lindeberg ◽  
...  
Keyword(s):  
Load Balancing ◽  
Multi Agent System ◽  
Agent System ◽  
Electricity Use ◽  
Multi Agent

scholarly journals Agent Based Load Balancing in Grid Computing

2020 ◽  
Author(s):  
Wided Ali ◽  
Fatima Bouakkaz
Keyword(s):  
Load Balancing ◽  
Heterogeneous Systems ◽  
Agent Based ◽  
Selection Policy ◽  
Development Framework ◽  
Policy Selection ◽  
Proposed Model ◽  
Multi Agent ◽  
Location Policy ◽  
System Characteristics

Load-Balancing is an important problem in distributed heterogeneous systems. In this paper, an Agent-based load-balancing model is developed for implementation in a grid environment. Load balancing is realized via migration of worker agents from overloaded resources to underloaded ones. The proposed model purposes to take benefit of the multi-agent system characteristics to create an autonomous system. The Agent-based load balancing model is implemented using JADE (Java Agent Development Framework) and Alea 2 as a grid simulator. The use of MAS is discussed, concerning the solutions adopted for gathering information policy, location policy, selection policy, worker agents migration, and load balancing.

scholarly journals Multi-agent grid system Agent-GRID with dynamic load balancing of cluster nodes

2017 ◽  
Vol 7 (1) ◽  
pp. 485-490 ◽  
Author(s):  
M.N. Satymbekov ◽  
I.T. Pak ◽  
L. Naizabayeva ◽  
Ch.A. Nurzhanov
Keyword(s):  
Load Balancing ◽  
Dynamic Load ◽  
Virtual Machines ◽  
Dynamic Load Balancing ◽  
Grid System ◽  
Multi Agent

AbstractIn this study the work presents the system designed for automated load balancing of the contributor by analysing the load of compute nodes and the subsequent migration of virtual machines from loaded nodes to less loaded ones. This system increases the performance of cluster nodes and helps in the timely processing of data. A grid system balances the work of cluster nodes the relevance of the system is the award of multi-agent balancing for the solution of such problems.

MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning

2020 ◽  
Vol 177 ◽  
pp. 107230
Author(s):  
Penghao Sun ◽  
Zehua Guo ◽  
Gang Wang ◽  
Julong Lan ◽  
Yuxiang Hu
Keyword(s):  
Reinforcement Learning ◽  
Load Balancing ◽  
Software Defined Networks ◽  
Multi Agent

An Ant-Colony-Based Meta-Heuristic Approach for Load Balancing in Cloud Computing

2021 ◽  
pp. 873-903
Author(s):  
Santanu Dam ◽  
Gopa Mandal ◽  
Kousik Dasgupta ◽  
Parmartha Dutta
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Computational Intelligence ◽  
Optimal Solution ◽  
Ant Colony ◽  
Multi Agent Systems ◽  
Distributed Environment ◽  
Intelligent Behavior ◽  
Computational Intelligence Technique ◽  
Multi Agent

This book chapter proposes use of Ant Colony Optimization (ACO), a novel computational intelligence technique for balancing loads of virtual machine in cloud computing. Computational intelligence(CI), includes study of designing bio-inspired artificial agents for finding out probable optimal solution. So the central goal of CI can be said as, basic understanding of the principal, which helps to mimic intelligent behavior from the nature for artifact systems. Basic strands of ACO is to design an intelligent multi-agent systems imputed by the collective behavior of ants. From the perspective of operation research, it's a meta-heuristic. Cloud computing is a one of the emerging technology. It's enables applications to run on virtualized resources over the distributed environment. Despite these still some problems need to be take care, which includes load balancing. The proposed algorithm tries to balance loads and optimize the response time by distributing dynamic workload in to the entire system evenly.

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