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Dynamic load balancing algorithm for scalable heterogeneous web server cluster with content awareness

机译:具有内容感知能力的可扩展异构Web服务器集群的动态负载平衡算法

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The state-of-art web applications communicate and coordinate with number of geographically dispersed information resources providing information to huge number of users. Homogeneous server clusters are not capable of satisfying the growing demand of such applications including real time audio and video, PHP, JSP, ASP etc. Heterogeneity involves handling of low level interoperability issues e.g. mismatch of hardware, operating platforms, programming languages, database schema, topology etc. Scalable server cluster allows addition of new servers as the load increases without disrupting the services. Moreover, it also provides better reliability by gracefully transferring the load from server which is unavailable due to failure or for preventive maintenance. Heterogeneity with scalability makes the system more complex. The existing dynamic load balancing (DLB) algorithms are not directly applicable for distributed scheduling in such environments. In this paper, we propose a DLB algorithm for scalable heterogeneous server cluster using content awareness. The algorithm considers server's processing capability, queue length, utilization ratio etc. as load indices. As the cluster supports multiple services, at the primary level, we have used content awareness forwarding algorithm and at the secondary level, waited round robin algorithm has been used.
机译:最新的Web应用程序与许多地理上分散的信息资源进行通信和协调,从而为大量用户提供信息。同类服务器群集无法满足此类应用程序不断增长的需求,包括实时音频和视频,PHP,JSP,ASP等。硬件,操作平台,编程语言,数据库架构,拓扑等不匹配。可扩展的服务器群集允许在负载增加时添加新服务器,而不会中断服务。此外,它还可以通过适当地从服务器转移由于故障或预防性维护而无法使用的负载来提供更好的可靠性。具有可伸缩性的异构性使系统更加复杂。现有的动态负载平衡(DLB)算法不适用于此类环境中的分布式调度。在本文中,我们提出了一种使用内容感知的可扩展异构服务器集群DLB算法。该算法将服务器的处理能力,队列长度,利用率等作为负载指标。由于集群支持多种服务,因此在主要级别上,我们使用了内容感知转发算法,而在辅助级别上,则使用了等待轮循算法。

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