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Scalable load balancing using enhanced server health monitoring and adimission control

机译：使用增强型服务器健康监控和adimission控制的可扩展负载平衡

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摘要

The increasing number of users and services on Internet day by day resulting in high traffic and load on the web servers. This is in turn degrading the quality of service. A well known solution to this problem is to use cluster of web servers. An optimum server load balancing policy is needed to achieve scalability and high performance of the service offered by cluster of web servers. In this paper, we proposed scalable Load Balancing using enhanced server Health monitoring and Admission control (LBHA). LBHA algorithm is capable of offering guarantees for different client priorities, such as premium customers and default customers. We show that using LBHA strategy web servers are able to maintain Service Level Agreements (SLA) without the need of a priori over-dimensioning of server resources. This is achieved by taking the real perspective of the service requests using the measurement of arrival rates at that time and selectively drop some requests from the default clients if the default customers traffic is high. We analyzed and compared the experimental results of LBHA strategy with the results of the very popular load balancing algorithm, Weighted Round Robin (WRR) and also Extended Server Load Balancing Algorithm (ELBL). We show that even though the LBHA strategy takes a little more server processing resources than WRR, it is capable to render assurances unlike WRR and ELBL.
机译：越来越多的用户和服务在互联网日复一日地导致Web服务器的流量高，负载。这反过来又堕落了服务质量。众所周知的解决问题是使用Web服务器的群集。需要一个最佳服务器负载平衡策略来实现Web服务器集群提供的服务的可扩展性和高性能。在本文中，我们采用增强型服务器健康监测和准入控制（LBHA）提出了可扩展的负载平衡。 LBHA算法能够为不同的客户端优先级提供保证，例如高级客户和默认客户。我们表明，使用LBHA策略Web服务器能够维护服务级别协议（SLA），而无需先验的服务器资源过度维度。这是通过使用当时的到达速率的测量来实现服务请求的真实视角来实现，并且如果默认客户流量高，则选择性地从默认客户端中删除一些请求。我们分析并比较了LBHA策略的实验结果与非常流行的负载平衡算法，加权循环（WRR）和扩展服务器负载平衡算法（elbl）的结果。我们表明，即使LBHA策略需要多于WRR的服务器处理资源，它能够与WRR和ELBL不同呈现保证。

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