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Availability and performance oriented availability modeling of Webserver cache hierarchies

机译:Web服务器缓存层次结构的可用性和性能面向可用性建模

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Large scale Webserver configurations are widely implemented by Internet portals, and hence have evolved to rely upon numerous performance and high availability system mechanisms. The principle objective of this paper is to provide a method to compare key hierarchical features of Webserver configurations with respect to availability. Towards this goal, we model their structure and behavioral characteristics using stochastic reward nets. Several performance and availability measures are also introduced to compare two configurations: (1) a single cluster with multiple servers each featuring a percentage of its workload cached in main memory and (2) a two cluster site, a minimal star architecture providing benefits of geographic hierarchy. These are differentiated by the varying rates of cache service afforded by in-memory and on-disk caching, and the varying rates of cache service imposed by network latency in a distributed hierarchy. Both rely behaviorally upon the cache array routing protocol (CARP) to provide parent-child hierarchical caching, distributed parallel processing, hash based load balancing and dynamic repair and failover to peer systems. Principally, our results show that using a local cache hierarchy of both in-memory and disk caching significantly offsets the disadvantage of increased network latency occasioned by a geographically centralized site. Specifically, a geographic hierarchy alone is shown to be a much less efficient means of accommodating a heavy "read" workload.
机译:大规模的网络服务器配置广泛由Internet Portals实现,因此已经发展为依赖于众多性能和高可用性系统机制。本文的原理目的是提供一种对比较Web服务器配置的关键分层​​特征的方法来提供与可用性进行比较。为了实现这一目标,我们使用随机奖励网模拟它们的结构和行为特征。还介绍了多种性能和可用性措施来比较两个配置:(1)具有多个服务器的单个群集,每个群组在主存储器中高速缓存,(2)两个群集站点,这是一个最小的星形架构,提供了地理的福利等级制度。这些通过内存中的内存和磁盘缓存提供的缓存服务的变化率和由分布式层次结构中的网络延迟所施加的缓存服务的变化率不同。两者都依赖于高速缓存阵列路由协议(CARP),以提供父子分层缓存,分布式并行处理,基于散列的负载平衡和动态修复和故障转移到对等系统。主要是,我们的结果表明,使用内存和磁盘缓存的本地缓存层次结构显着抵消了地理上集中的增加的网络延迟增加的缺点。具体地,单独的地理层次结构被认为是容纳重“读取”工作量的更少有效的方法。

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