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A content-based load balancing algorithm with admission control for cluster web servers

机译：集群Web服务器的基于内容的负载均衡控制算法

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摘要

With the growing demands for web-based applications, cluster web servers emerged as a reliable and leading resource in internet infrastructure. Managing performance of the cluster web servers under heavy load conditions is a critical task specifically when it comes to the advent of dynamic contents and database-driven applications. In this paper we propose a new load balancing algorithm namely IQRD (Intelligent Queue-based Request Dispatcher) for web-switches of the cluster web servers which operates at layer-7. The IQRD aims to achieve better load balancing with the help of request classification, performance isolation and dynamic remaining capacity estimation mechanisms. For this, a queuing model was employed for each class of requests in each node of the cluster to provide an estimation regarding the node remaining capacity. This value is used as a load descriptor (index) in the load balancing algorithm and also used by the admission control mechanism. The implementation results with synthetic and realistic workloads confirm that IQRD effectively balances loads among servers in the cluster and achieves better response time and throughput compared to other load balancing algorithms. However, the IQRD algorithm offered more processing overheads both in the web-switch and the web servers, but presented a better load balancing among web servers, even when the request rates were beyond the cluster capacity.
机译：随着对基于Web的应用程序的需求不断增长，群集Web服务器已成为Internet基础结构中可靠且领先的资源。管理动态负载和数据库驱动的应用程序时，特别是在重负载条件下管理群集Web服务器的性能是一项关键任务。在本文中，我们针对在第7层运行的群集Web服务器的Web交换机提出了一种新的负载平衡算法，即IQRD（基于智能队列的请求分派器）。 IQRD旨在借助请求分类，性能隔离和动态剩余容量估计机制来实现更好的负载平衡。为此，对群集的每个节点中的每个请求类别采用排队模型，以提供有关节点剩余容量的估计。此值在负载平衡算法中用作负载描述符（索引），并且还由准入控制机制使用。综合和实际工作负载的实施结果证实，与其他负载平衡算法相比，IQRD有效地平衡了群集中服务器之间的负载，并获得了更好的响应时间和吞吐量。但是，IQRD算法在Web交换机和Web服务器中都提供了更多的处理开销，但是即使请求速率超出了群集容量，Web服务器之间也实现了更好的负载平衡。

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