基于集群的网络服务器资源分配预测技术比较

K. Gilly, S. Alcaraz, C. Juiz, R. Puigjaner
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引用次数: 12

摘要

预测算法在系统管理中起着至关重要的作用,它提醒系统注意可能降低系统整体性能的未来事件。本文提出了一种用于管理Web服务器集群的Web交换机的预测算法。研究了几种吞吐量预测技术,根据预先确定的服务质量,对不同类型的用户动态平衡工作负载,最终得到了最适合我们算法的吞吐量预测技术。为了减少检查时间,估计仅在可变槽调度中计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of predictive techniques in cluster-based network servers with resource allocation
Predictive algorithms play a crucial role in system management by alerting it to future events that may degrade the global performance of the system. Our paper proposes a predictive algorithm for a Web switch that manages a cluster of Web servers. Several throughput predictive techniques have been studied to balance the workload dynamically according to a predetermined quality of service for different types of users, and finally we have obtained the best that fits in our algorithm. In order to reduce the checking time, estimations are only computed in a variable slot scheduling.
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