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Guannan Qu
Jilin University

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Agent-based Dynamic Adaptive Cluster Load Balancing Model Tianshu You; Wenhui Li; Zhiyi Fang; Chunfei Zhang; Guannan Qu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In a cluster environment, the identification and the classification of the requested task is a prerequisite for choosing the appropriate load balancing algorithm and improving the processing capacity of the network. As the existing load balancing strategies cannot relate tasks and load balancing algorithm intelligently, this paper present an Agent-based dynamic adaptive load balancing model. Through the identification and classification of the requested task, the model selects corresponding load balancing algorithm to reach the load balancing in cluster. This model has a distinct advantage over other load balancing schedule strategies on response time. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4568
Performance Evaluation of Dynamic Load Balancing Algorithms Tianshu You; Wenhui Li; Zhiyi Fang; Hongbin Wang; Guannan Qu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Efficient task scheduling mechanism can better meet the users’ QoS requirement, and achieve the load balancing in physical hosts, so the cluster system with high scalability and reliability can effectively improve the information utilization of the system, thereby enhance the overall performance of the Web server cluster system. In order to build a network service system with better scalability and reliability, this paper describes the round-robin scheduling algorithm of LVS cluster system, least-connection scheduling algorithm, weighted least-connection scheduling algorithm and a prior proposed new weighted value assigned scheduling algorithm, dynamic adaptive feedback load balancing strategy. Meanwhile, it takes simulation experiment for the round-robin scheduling algorithm of LVS, least-connection scheduling algorithm, weighted least-connection scheduling algorithm and the new weighted value assigned scheduling algorithm, dynamic adaptive feedback load balancing strategy and take comparative analysis for the experimental data, through the analysis and assessment, effectively point out the advantages and disadvantages of the existing load balancing strategy. It is conducive to better improve the existing equalization algorithm performance deficiencies and propose optimum load balancing strategy DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4731
Co-Authors Chunfei Zhang Hongbin Wang Tianshu You Wenhui Li Zhiyi Fang