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Performance Modelling Power Consumption and Carbon Emissions for Server Virtualization of Service Oriented Architectures (SOAs)

机译:服务面向服务架构服务器虚拟化的性能模型和碳排放(SOA)

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Server Virtualization is driven by the goal of reducing the total number of physical servers in an organisation by consolidating multiple applications on shared servers. Expected benefits include more efficient server utilisation, and a decrease in green house gas emissions. However, Service Oriented Architectures combined with Server Virtualization may significantly increase risks such as saturation and Service Level Agreement (SLA) violations. Since 2006 National ICT Australia Ltd (NICTA) has been developing a technology for the performance modelling of large scale heterogeneous Service Oriented Architectures (SOAs). The technology has been empirically trialled, refined and validated with collaborating Australian Government agencies to address critical performance risks. Many government SOAs are developed, tested and deployed on virtualized hardware, and we have developed the capability to model the performance of SOAs deployed on virtual servers. In this paper we provide an overview of NICTA's SOA performance modelling approach, and then explore a number of alternative deployment scenarios for an example SOA based on a synthetic carbon emission trading system. We show how our modelling approach provides insights into the relationship between workloads, services, and resource requirements, and can therefore be used to predict server power consumption and carbon emissions. We model and evaluate four different deployment options including planned and optimised resources, server virtualization, and computing-on-demand (cloud computing using Amazon EC2). We conclude with an overview of other potential problems and benefits of SOA virtualization.
机译:服务器虚拟化通过在共享服务器上巩固多个应用程序来减少组织中的物理服务器总数的目标驱动。预期的效益包括更高效的服务器利用率,以及绿色房屋气体排放的减少。但是,面向服务的架构与服务器虚拟化相结合可能会显着增加风险,例如饱和度和服务级别协议(SLA)违规。自2006年以来全国ICT澳大利亚有限公司(NICTA)一直在为大规模异构服务导向架构(SOA)开发一种技术。该技术已经过经验试验,提炼和验证,并合作澳大利亚政府机构来解决关键绩效风险。在虚拟化硬件上开发,测试和部署了许多政府SOA,我们开发了模拟在虚拟服务器上部署的SOA性能的能力。在本文中,我们提供了Nicta的SOA性能建模方法的概述,然后根据合成碳排放交易系统探索示例SOA的许多替代部署方案。我们展示了我们的建模方法如何为工作负载,服务和资源要求之间的关系提供见解,因此可以用于预测服务器功耗和碳排放。我们模拟并评估四种不同的部署选项,包括计划和优化的资源,服务器虚拟化和按需计算(使用Amazon EC2云计算)。我们概述了SOA虚拟化的其他潜在问题和益处的概述。

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