Characterizing web workloads for quality of service prediction
    1.
    发明授权
    Characterizing web workloads for quality of service prediction 有权
    表征Web工作负载以提供服务质量预测

    公开(公告)号:US08560618B2

    公开(公告)日:2013-10-15

    申请号:US13174892

    申请日:2011-07-01

    摘要: Implementations of the present disclosure provide systems and methods directed to receiving, at a computing device, trace data provided in a trace log file corresponding to a server, parameterizing, using the computing device, a first Markovian Arrival Process (MAP) model based on the trace data, parameterizing, using the computing device, a second MAP model based on the trace data, defining a queuing model that models a performance of the server and that includes the first MAP model and the second MAP model, and storing the queuing model in computer-readable memory.

    摘要翻译: 本公开的实施例提供了一种系统和方法,用于在计算设备处接收在对应于服务器的跟踪日志文件中提供的跟踪数据,使用计算设备参数化基于第一马尔可夫到达过程(MAP)模型 跟踪数据,参数化,使用计算设备,基于跟踪数据的第二MAP模型,定义对服务器的性能进行建模并且包括第一MAP模型和第二MAP模型的排队模型,以及将排队模型存储在 计算机可读存储器。

    ESTIMATING SERVICE RESOURCE CONSUMPTION BASED ON RESPONSE TIME
    2.
    发明申请
    ESTIMATING SERVICE RESOURCE CONSUMPTION BASED ON RESPONSE TIME 有权
    基于响应时间估计服务资源消耗

    公开(公告)号:US20110093253A1

    公开(公告)日:2011-04-21

    申请号:US12580901

    申请日:2009-10-16

    IPC分类号: G06F17/00

    摘要: Implementations of the present disclosure provide computer-implemented methods including defining a workload comprising a plurality of service requests, each service request corresponding to a class of a plurality of classes, applying the workload to a computer system that receives and processes service requests, measuring a response time of the computer system for each request of the workload, estimating a mean service demand for each class based on the response times and a base queuing model that represents the computer system, and generating the queuing model based on the mean service demands and characteristics of the workload.

    摘要翻译: 本公开的实现提供计算机实现的方法,包括定义包括多个服务请求的工作负载,每个服务请求对应于多个类的类别,将工作负载应用于接收和处理服务请求的计算机系统, 计算机系统针对工作负载的每个请求的响应时间,基于响应时间估计每个类的平均服务需求,以及代表计算机系统的基本排队模型,以及基于平均服务需求和特征生成排队模型 的工作量。

    Simulation techniques for predicting in-memory database systems performance
    3.
    发明授权
    Simulation techniques for predicting in-memory database systems performance 有权
    用于预测内存数据库系统性能的模拟技术

    公开(公告)号:US09111022B2

    公开(公告)日:2015-08-18

    申请号:US13530847

    申请日:2012-06-22

    IPC分类号: G06F17/30 G06F11/34

    CPC分类号: G06F11/3409 G06F11/3461

    摘要: Methods for performance evaluation of admission control policies (ACPs) include storing a simulation model including an admission queue and a finite capacity region (FCR), the admission queue admitting queries to the FCR based on an active ACP, the FCR modeling a resource constraint, generating traces, each trace being generated based on processing a single query using the database system, the single query being associated with a query type of a plurality of query types, for each query type, determining a query fork size and a service time from an associated trace to provide a plurality of tuples, each tuple being associated with a query type and including the fork size and the service time associated with the query type, parameterizing the simulation model based on the plurality of tuples, and for each of the ACPs, generating a performance parameter by applying a workload to the simulation model.

    摘要翻译: 准入控制策略(ACP)的性能评估方法包括存储包括准入队列和有限容量区域(FCR)的模拟模型,接收队列基于活动ACP向FCR承认查询,FCR建模资源约束, 生成跟踪,基于使用数据库系统处理单个查询来生成每个跟踪,所述单个查询与每个查询类型的多个查询类型的查询类型相关联,从一个查询叉大小和从一个查询类型确定服务时间 相关联的跟踪以提供多个元组,每个元组与查询类型相关联,并且包括与查询类型相关联的分支大小和服务时间,基于多个元组参数化模拟模型,并且对于每个ACP, 通过将工作负载应用于仿真模型来生成性能参数。

    Simulation Techniques for Predicting In-Memory Database Systems Performance
    4.
    发明申请
    Simulation Techniques for Predicting In-Memory Database Systems Performance 有权
    用于预测内存数据库系统性能的仿真技术

    公开(公告)号:US20130346436A1

    公开(公告)日:2013-12-26

    申请号:US13530847

    申请日:2012-06-22

    IPC分类号: G06F17/30

    CPC分类号: G06F11/3409 G06F11/3461

    摘要: Methods for performance evaluation of admission control policies (ACPs) include storing a simulation model including an admission queue and a finite capacity region (FCR), the admission queue admitting queries to the FCR based on an active ACP, the FCR modeling a resource constraint, generating traces, each trace being generated based on processing a single query using the database system, the single query being associated with a query type of a plurality of query types, for each query type, determining a query fork size and a service time from an associated trace to provide a plurality of tuples, each tuple being associated with a query type and including the fork size and the service time associated with the query type, parameterizing the simulation model based on the plurality of tuples, and for each of the ACPs, generating a performance parameter by applying a workload to the simulation model.

    摘要翻译: 准入控制策略(ACP)的性能评估方法包括存储包括准入队列和有限容量区域(FCR)的模拟模型,接收队列基于活动ACP向FCR承认查询,FCR建模资源约束, 生成跟踪,基于使用数据库系统处理单个查询来生成每个跟踪,所述单个查询与每个查询类型的多个查询类型的查询类型相关联,从一个查询叉大小和从一个查询类型确定服务时间 相关联的跟踪以提供多个元组,每个元组与查询类型相关联,并且包括与查询类型相关联的分支大小和服务时间,基于多个元组参数化模拟模型,并且对于每个ACP, 通过将工作负载应用于仿真模型来生成性能参数。

    PREDICTING PERFORMANCE OF A CONSOLIDATED VIRTUALIZED COMPUTING ENVIRONMENT
    5.
    发明申请
    PREDICTING PERFORMANCE OF A CONSOLIDATED VIRTUALIZED COMPUTING ENVIRONMENT 有权
    综合虚拟化计算环境的预测性能

    公开(公告)号:US20120239376A1

    公开(公告)日:2012-09-20

    申请号:US13418879

    申请日:2012-03-13

    IPC分类号: G06F9/45

    摘要: Implementations of the present disclosure provide computer-implemented methods for predicting a performance of a consolidated virtualized computing environment. Methods include processing benchmark workloads using a plurality of virtual machines to generate a plurality of traces, each trace including data corresponding to requests issued by a respective virtual machine operating in an isolated environment, storing the plurality of traces in one or more trace repositories, each trace repository provided as a computer-readable storage medium, selecting a trace from the plurality of traces stored in the one or more trace repositories, parameterizing a queuing model based on the trace, the queuing model representing request queuing in the consolidated virtualized computing environment, and processing the queuing model using one or more processors to generate one or more response time estimates for the consolidated virtualized computing environment.

    摘要翻译: 本公开的实现提供了用于预测统一的虚拟化计算环境的性能的计算机实现的方法。 方法包括使用多个虚拟机处理基准工作负载以生成多个跟踪,每个跟踪包括对应于在孤立环境中操作的相应虚拟机发出的请求的数据,将多个跟踪存储在一个或多个跟踪存储库中,每个 作为计算机可读存储介质提供的跟踪存储库,从存储在所述一个或多个跟踪存储库中的多个跟踪中选择跟踪,基于所述跟踪来参数化排队模型,所述排队模型表示在所述统一虚拟化计算环境中的队列排队, 以及使用一个或多个处理器处理所述排队模型以生成用于所述统一虚拟化计算环境的一个或多个响应时间估计。

    Predicting performance of a consolidated virtualized computing environment
    7.
    发明授权
    Predicting performance of a consolidated virtualized computing environment 有权
    预测统一的虚拟化计算环境的性能

    公开(公告)号:US09164785B2

    公开(公告)日:2015-10-20

    申请号:US13418879

    申请日:2012-03-13

    摘要: Implementations of the present disclosure provide computer-implemented methods for predicting a performance of a consolidated virtualized computing environment. Methods include processing benchmark workloads using a plurality of virtual machines to generate a plurality of traces, each trace including data corresponding to requests issued by a respective virtual machine operating in an isolated environment, storing the plurality of traces in one or more trace repositories, each trace repository provided as a computer-readable storage medium, selecting a trace from the plurality of traces stored in the one or more trace repositories, parameterizing a queuing model based on the trace, the queuing model representing request queuing in the consolidated virtualized computing environment, and processing the queuing model using one or more processors to generate one or more response time estimates for the consolidated virtualized computing environment.

    摘要翻译: 本公开的实现提供了用于预测统一的虚拟化计算环境的性能的计算机实现的方法。 方法包括使用多个虚拟机处理基准工作负载以生成多个跟踪,每个跟踪包括对应于在孤立环境中操作的相应虚拟机发出的请求的数据,将多个跟踪存储在一个或多个跟踪存储库中,每个 作为计算机可读存储介质提供的跟踪存储库,从存储在所述一个或多个跟踪存储库中的多个跟踪中选择跟踪,基于所述跟踪来参数化排队模型,所述排队模型表示在所述统一虚拟化计算环境中的队列排队, 以及使用一个或多个处理器处理所述排队模型以生成用于所述统一虚拟化计算环境的一个或多个响应时间估计。

    Characterizing Web Workloads For Quality of Service Prediction
    8.
    发明申请
    Characterizing Web Workloads For Quality of Service Prediction 有权
    表征Web工作负载的服务质量预测

    公开(公告)号:US20130007259A1

    公开(公告)日:2013-01-03

    申请号:US13174892

    申请日:2011-07-01

    IPC分类号: G06F15/173

    摘要: Implementations of the present disclosure provide systems and methods directed to receiving, at a computing device, trace data provided in a trace log file corresponding to a server, parameterizing, using the computing device, a first Markovian Arrival Process (MAP) model based on the trace data, parameterizing, using the computing device, a second MAP model based on the trace data, defining a queuing model that models a performance of the server and that includes the first MAP model and the second MAP model, and storing the queuing model in computer-readable memory.

    摘要翻译: 本公开的实施例提供了一种系统和方法,用于在计算设备处接收在对应于服务器的跟踪日志文件中提供的跟踪数据,使用计算设备参数化基于第一马尔可夫到达过程(MAP)模型 跟踪数据,参数化,使用计算设备,基于跟踪数据的第二MAP模型,定义对服务器的性能进行建模并且包括第一MAP模型和第二MAP模型的排队模型,以及将排队模型存储在 计算机可读存储器。