A Multi-agent Based Load Balancing Framework in Cloud Environment

2016 ◽  
Author(s):  
Jiadong Zhang ◽  
Qiongxin Liu ◽  
Jiayu Chen
Keyword(s):  
Load Balancing ◽  
Cloud Environment ◽  
Agent Based ◽  
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 Based Load Balancing Dispatch for Power Systems with Renewable Energy

2020 ◽  
Vol 2020 (0) ◽  
pp. 13-16
Author(s):  
Kenta Hanada ◽  
Takayuki Wada ◽  
Izumi Masubuchi ◽  
Toru Asai ◽  
Yasumasa Fujisaki
Keyword(s):  
Renewable Energy ◽  
Load Balancing ◽  
Power Systems ◽  
Agent Based ◽  
Multi Agent

A Multi-Agent Based Load Balancing Architecture to Support INPE Satellite Control Software

2006 ◽  
Author(s):  
Andreia Carniello de Aquino ◽  
Adriana Carniello Biancho ◽  
Mauricio Gonçalves Vieira Ferreira ◽  
José Demisio Simões da Silva
Keyword(s):  
Load Balancing ◽  
Control Software ◽  
Agent Based ◽  
Multi Agent ◽  
Satellite Control

scholarly journals Multi-agent based load balancing in cloud computing

2017 ◽  
Vol 7 (1.1) ◽  
pp. 689
Author(s):  
S Sandeep Kumar ◽  
S Tarun Kumar ◽  
G Sathraja ◽  
J Nagatejasri
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Resource Utilization ◽  
Data Centers ◽  
Agent Based ◽  
Multiple Servers ◽  
Work Distribution ◽  
Multi Agent ◽  
Area Unit

Cloud knowledge centers area unit usually comprised of multiple servers with doubtless completely different specifications and unsteady resource usages. The challenge for these data centers is how to handle and service the millions of Requests such that the Quality of the ser-vice (Qos) is not compromised. Load balancing is an important aspect in cloud computing that involves an even work distribution among the available machines such that no machine is overloaded. This work discusses on numerous Agent primarily based load equalization tech-niques capableof equalization workloads across multiple servers to provide customer Satisfaction and economical Resource Utilization. We propose a Dynamic Multi-Agent based algorithm to address the load balancing issue .In this, we describe about Agents and how they can be used to solve load balancing in cloud computing.  

Parallelization of Multi-agent-based Traffic Simulator with Dynamic Load Balancing

2018 ◽  
Vol 2018.31 (0) ◽  
pp. 185
Author(s):  
Yuta USHIMARU ◽  
Hideki FUJII ◽  
Shinobu YOSHIMURA ◽  
Tomonori YAMADA
Keyword(s):  
Load Balancing ◽  
Dynamic Load ◽  
Dynamic Load Balancing ◽  
Agent Based ◽  
Multi Agent

Task Scheduling Algorithm based on Resources Segregation in Cloud Environment

2018 ◽  
pp. 96-101
Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey
Keyword(s):  
Load Balancing ◽  
Task Scheduling ◽  
Waiting Time ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Task Scheduling Algorithm ◽  
Machine Utilization ◽  
Independent Tasks ◽  
Optimal Machine

Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing, which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue using workflowsim simulator in JAVA.

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