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Analysis of issues with load balancing algorithms in hosted (cloud) environments

机译:托管(云)环境中的负载平衡算法问题分析

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In order to provide valuable information and influence the decision-making process of a load balancer, thus maintaining optimal load balancing in hosted (or cloud) environments, it is not enough just to provide information from networking part of the computer system or from external load balancer. Load balancing models and algorithms proposed in the literature or applied in open-source or commercial load balancers rely either on session-switching at the application layer, packet-switching mode at the network layer or processor load balancing mode. The analysis of detected issues for those load balancing algorithms is presented in this paper, as a preparation phase for a new load balancing model (algorithm) proposition. The new algorithm incorporates information from virtualized computer environments and end user experience in order to be able to proactively influence load balancing decisions or reactively change decision in handling critical situations.
机译:为了提供有价值的信息并影响负载平衡器的决策过程,从而在托管(或云)环境中保持最佳负载平衡,仅从计算机系统的网络部分或外部负载提供信息是不够的平衡器。文献中提出的或在开源或商用负载均衡器中应用的负载均衡模型和算法依赖于应用层的会话交换,网络层的分组交换模式或处理器负载均衡模式。本文介绍了对那些负载均衡算法检测到的问题的分析,作为新的负载均衡模型(算法)命题的准备阶段。新算法结合了来自虚拟计算机环境和最终用户体验的信息,以便能够在处理紧急情况时主动影响负载平衡决策或做出反应性变化决策。

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