A Multi-agent Based Load Balancing Framework in Cloud Environment

Author(s):  
Jiadong Zhang ◽  
Qiongxin Liu ◽  
Jiayu Chen
2020 ◽  
Author(s):  
Wided Ali ◽  
Fatima Bouakkaz

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.


Author(s):  
Kenta Hanada ◽  
Takayuki Wada ◽  
Izumi Masubuchi ◽  
Toru Asai ◽  
Yasumasa Fujisaki

2006 ◽  
Author(s):  
Andreia Carniello de Aquino ◽  
Adriana Carniello Biancho ◽  
Mauricio Gonçalves Vieira Ferreira ◽  
José Demisio Simões da Silva

2017 ◽  
Vol 7 (1.1) ◽  
pp. 689
Author(s):  
S Sandeep Kumar ◽  
S Tarun Kumar ◽  
G Sathraja ◽  
J Nagatejasri

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.  


2018 ◽  
Vol 2018.31 (0) ◽  
pp. 185
Author(s):  
Yuta USHIMARU ◽  
Hideki FUJII ◽  
Shinobu YOSHIMURA ◽  
Tomonori YAMADA

Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey

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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