DISCOVERING OPTIMAL SYSTEM CONFIGURATIONS USING DECENTRALIZED PROBABILITY BASED ACTIVE SAMPLING
    21.
    发明公开
    DISCOVERING OPTIMAL SYSTEM CONFIGURATIONS USING DECENTRALIZED PROBABILITY BASED ACTIVE SAMPLING 审中-公开
    利用基于分散概率的有效抽样发现最优系统配置

    公开(公告)号:EP2208146A1

    公开(公告)日:2010-07-21

    申请号:EP08743687.9

    申请日:2008-03-05

    Abstract: A system and method for optimizing system performance includes applying (160) sampling based optimization to identify optimal configurations of a computing system by selecting (162) a number of configuration samples and evaluating (166) system performance based on the samples. Based on feedback of evaluated samples, a location of an optimal configuration is inferred (170). Additional samples are generated (176) towards the location of the inferred optimal configuration to further optimize a system configuration.

    Abstract translation: 用于优化系统性能的系统和方法包括通过基于样本选择(162)多个配置样本并且评估(166)系统性能来应用(160)基于采样的优化以识别计算系统的最优配置。 基于评估样本的反馈,推断出最佳配置的位置(170)。 生成(176)朝向推断的最佳配置的位置的附加采样以进一步优化系统配置。

    METHODS AND APPARATUS FOR COORDINATED ENERGY MANAGEMENT IN VIRTUALIZED DATA CENTERS
    22.
    发明公开
    METHODS AND APPARATUS FOR COORDINATED ENERGY MANAGEMENT IN VIRTUALIZED DATA CENTERS 有权
    方法和装置协调电源管理虚拟化数据中心

    公开(公告)号:EP2524277A2

    公开(公告)日:2012-11-21

    申请号:EP11733405.2

    申请日:2011-01-13

    CPC classification number: G06F1/3206 G06F9/5077 G06F9/5094 Y02D10/22 Y02D10/36

    Abstract: A method and system for coordinating energy management in a virtualized data center including a plurality of physical servers and a plurality of virtual machines (VMs), includes analyzing status information about the virtualized data center; determining server utilization target settings for server consolidation from the analyzed status information; and executing the server consolidation according to the determined server utilization target settings. Server consolidation can be executed by determining an effective size of each of the VMs and placing the VMs on the servers in a selective manner using an independent workload VM placement process, a correlation-aware VM placement process, or a migration-cost and correlation-aware VM placement process.

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