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    A SYSTEM CONVERTER THAT IMPLEMENTS A REORDERING PROCESS THROUGH JIT (JUST IN TIME) OPTIMIZATION THAT ENSURES LOADS DO NOT DISPATCH AHEAD OF OTHER LOADS THAT ARE TO THE SAME ADDRESS
    31.
    发明公开
    A SYSTEM CONVERTER THAT IMPLEMENTS A REORDERING PROCESS THROUGH JIT (JUST IN TIME) OPTIMIZATION THAT ENSURES LOADS DO NOT DISPATCH AHEAD OF OTHER LOADS THAT ARE TO THE SAME ADDRESS 审中-公开
    与实施重新排序BY准时优化，以确保负荷不超过其他收费在同一地址发送的系统转换器

    公开(公告)号：EP3172663A1

    公开(公告)日：2017-05-31

    申请号：EP15825006.8

    申请日：2015-07-24

    申请人： Intel Corporation

    发明人： ABDALLAH, Mohammad

    IPC分类号： G06F9/455

    CPC分类号： G06F8/443 ,  G06F8/70 ,  G06F9/45525 ,  G06F9/5083

    摘要： A system for an agnostic runtime architecture. The system includes a system emulation/virtualization converter, an application code converter, and a converter wherein a system emulation/virtualization converter and an application code converter implement a system emulation process, and wherein the system converter implements a system and application conversion process for executing code from a guest image, wherein the system converter or the system emulator. The system further includes a reordering process through JIT (just in time) optimization that ensures loads do not dispatch ahead of other loads that are to the same address, wherein a load will check for a same address of subsequent loads from a same thread, and a thread checking process that enable other thread store checks against the entire load queue and a monitor extension.

    摘要翻译： 一种用于在运行无关的架构体系。 该系统包括一个系统仿真/虚拟化转换器，应用程序代码转换器，以及worin系统仿真/虚拟化转换器和应用程序代码转换器执行一个系统仿真过程，和worin系统变换器实现了用于执行一个系统和应用程序转换处理的转换器 从客户图像代码，worin系统转换器或系统仿真器。 该系统还包括通过JIT（准时）优化并确保负载不会派遣领先于其他负载也有相同的地址，worin负荷将检查来自同一线程后续加载的同一地址，并重新排序的过程 一个线程检查processthat使其他线程存储检查针对整个加载队列和一个监视器扩展。

    SYSTEM AND METHOD FOR ELECTRONIC WORK PREDICTION AND DYNAMICALLY ADJUSTING SERVER RESOURCES
    32.
    发明公开
    SYSTEM AND METHOD FOR ELECTRONIC WORK PREDICTION AND DYNAMICALLY ADJUSTING SERVER RESOURCES 审中-公开
    系统和方法服务器资源的动态调整电子工作与预测

    公开(公告)号：EP3170076A1

    公开(公告)日：2017-05-24

    申请号：EP15739341.4

    申请日：2015-07-09

    申请人： Thomson Reuters Global Resources

    发明人： HABDANK, Jozef ,  HABDANK-WOJEWODZKI, Tadeusz

    IPC分类号： G06F9/50

    CPC分类号： G06F9/505 ,  G06F9/5027 ,  G06F9/5061 ,  G06F9/5083 ,  G06F2209/5019

    摘要： A computer-implemented system and method facilitate dynamically allocating server resources. The system and method include determining a current queue distribution, referencing historical information associated with execution of at least one task, and predicting, based on the current queue distribution and the historical information, a total number of tasks of various task types that are to be executed during the time period in the future. Based on this prediction, a resource manager determines a number of servers that should be instantiated for use during the time period in the future.

    摘要翻译： 一种计算机实现的系统和方法便于动态分配服务器资源。 该系统和方法包括确定采矿当前队列分配，参考与至少一个任务的执行相关联的历史信息，并预测，基于当前队列分布和历史信息，各种任务类型的任务的总数并要成为 在未来TIMEPERIOD期间执行。 在此基础上预测，资源管理器bestimmt一个数字，应该在未来TIMEPERIOD中实例化应用的服务器。

    METHOD AND APPARATUS FOR LOAD BALANCING IN MULTI-LEVEL DISTRIBUTED COMPUTATIONS
    33.
    发明公开
    METHOD AND APPARATUS FOR LOAD BALANCING IN MULTI-LEVEL DISTRIBUTED COMPUTATIONS 审中-公开
    VERFAHREN UND VORRICHTUNGFÜRLASTAUSGLEICHBEI MEHRSTUFIGEN VERTEILTEN BERECHNUNGEN

    公开(公告)号：EP2659365A4

    公开(公告)日：2017-05-17

    申请号：EP11854323

    申请日：2011-11-08

    申请人： NOKIA TECHNOLOGIES OY

    发明人： BOLDYREV SERGEY ,  LAINE HANNU ENSIO ,  KAAJA JARI-JUKKA HARALD ,  HONKOLA JUKKA ,  LUUKKALA VESA-VEIKKO ,  OLIVER IAN JUSTIN

    IPC分类号： G06F9/50 ,  H04L29/08

    CPC分类号： G06F9/5083

    摘要： An approach is provided for providing load balancing in multi-level distributed computations. A distributed computation control platform determines closure capability data associated with respective levels of a computational architecture, wherein the respective levels include, at least in part, a device level, an infrastructure level, and a cloud computing level. The distributed computation control platform also determines functional flow information of the respective levels, one or more nodes of the respective levels, or a combination thereof with respect to at least one set of one or more computation closures. The distributed computation control platform further determines to cause, at least in part, processing at least the closure capability data, the functional flow information, or a combination thereof to determine: (a) a distribution of the one or more computation closures among the respective levels, (b) the one or more nodes, or (c) a combination thereof.

    摘要翻译： 提供了一种用于在多级分布式计算中提供负载平衡的方法。 分布式计算控制平台确定与计算体系结构的各个级别相关联的闭合能力数据，其中各个级别至少部分地包括设备级别，基础设施级别和云计算级别。 分布式计算控制平台还针对至少一组一个或多个计算闭包确定各个级别的功能流程信息，各个级别的一个或多个节点或其组合。 分布式计算控制平台进一步确定至少部分地致使至少处理闭合能力数据，功能流信息或其组合以确定：（a）一个或多个计算闭包在各自中的分布 （b）一个或多个节点，或（c）它们的组合。

    RESOURCE PROCESSING METHOD, OPERATING SYSTEM, AND DEVICE
    35.
    发明公开
    RESOURCE PROCESSING METHOD, OPERATING SYSTEM, AND DEVICE 审中-公开
    维多利亚州，BETRIEBSSYSTEM UND VORRICHTUNG的RESSOURCENVERARBEITUNGSVERFAHREN

    公开(公告)号：EP3086228A4

    公开(公告)日：2017-03-15

    申请号：EP14870974

    申请日：2014-12-17

    申请人： HUAWEI TECH CO LTD

    发明人： LU GANG ,  ZHAN JIANFENG ,  GAO YUNWEI ,  TAN CHONGKANG ,  XUE DONGLIANG

    IPC分类号： G06F9/50 ,  G06F9/44 ,  G06F9/455 ,  G06F13/24

    CPC分类号： G06F9/4406 ,  G06F9/4403 ,  G06F9/4405 ,  G06F9/4408 ,  G06F9/45533 ,  G06F9/5083 ,  G06F13/24

    摘要： Embodiments of the present invention provide a resource processing method, an operating system, and a device. The method is applied to a multi-core operating system, where the multi-core operating system includes a management operating system and multiple load operating systems that run on a host machine and includes a physical resource pool. The method includes: allocating, by the management operating system to each load operating system, a physical resource set exclusively used by each load operating system; constructing a startup mirror for each load operating system; setting, for each load operating system, a mapping relationship that is from a virtual memory address to a physical memory address and that is required for executing the startup mirror; determining, in processor cores allocated to a first load operating system, a startup processor core that starts up the first load operating system; instructing the startup processor core to read a mapping relationship that is from a virtual memory address to a physical memory address and that is required for executing a startup mirror of the first load operating system; and instructing the startup processor core to execute the startup mirror pre-constructed for the first load operating system.

    摘要翻译： 本发明的实施例提供了一种资源处理方法，操作系统和设备。 该方法应用于多核操作系统，其中多核操作系统包括在主机上运行并包括物理资源池的管理操作系统和多个负载操作系统。 该方法包括：由管理操作系统向每个负载操作系统分配由每个负载操作系统专用的物理资源集合; 为每个负载操作系统构建启动镜; 对于每个负载操作系统，设置从虚拟存储器地址到物理存储器地址并且执行启动镜所需的映射关系; 在分配给第一负载操作系统的处理器核心中，确定启动所述第一负载操作系统的启动处理器核心; 指示启动处理器核心读取从虚拟存储器地址到物理存储器地址的映射关系，并且执行第一加载操作系统的启动镜像所需的映射关系; 并指示启动处理器内核执行为第一加载操作系统预先构建的启动镜。

    PREDICTIVE LOAD SCALING FOR SERVICES
    36.
    发明公开
    PREDICTIVE LOAD SCALING FOR SERVICES 审中-公开
    PRÄDIKTIVELASTSKALIERUNGFÜRDIENSTE

    公开(公告)号：EP3126976A1

    公开(公告)日：2017-02-08

    申请号：EP15716274.4

    申请日：2015-03-26

    申请人： Microsoft Technology Licensing, LLC

    发明人： SICILIANO, Stephen ,  LAMANNA, Charles ,  GREBNOV, Ilya

    IPC分类号： G06F9/50

    CPC分类号： G06F11/3034 ,  G06F9/5072 ,  G06F9/5083 ,  G06F11/3419 ,  G06F2209/5019 ,  H04L41/147 ,  H04L41/5054 ,  H04L43/08 ,  H04L47/762

    摘要： Embodiments are directed to determining an optimal number of concurrently running cloud resource instances and to providing an interactive interface that shows projected operational metric measurements. In one scenario, a computer system accesses metric information which identifies operational metric measurements, and further accesses a second portion of metric information that identifies operational metric measurements for the cloud resource instances over a second period of time. The computer system then calculates projected operational metric measurements based on the identified operational metric measurements over the first period of time (e.g. for reactive tuning) and further based on the identified operational metric measurements over the second period of time (e.g. for predictive tuning). The computer system then determines, based on the projected operational metric measurements, a number of cloud resource instances that are to be concurrently running at a specified future point in time.

    摘要翻译： 实施例旨在确定同时运行的云资源实例的最佳数量，并提供显示预测的操作度量测量的交互式界面。 在一种情况下，计算机系统访问标识操作度量测量的度量信息，并且进一步访问在第二时间段内识别云资源实例的操作度量测量的度量信息的第二部分。 计算机系统然后基于在第一时间段（例如用于无功调谐）中所识别的操作度量测量值并且还基于在第二时间段（例如，用于预测调谐）中所识别的操作度量测量值来计算预测的操作度量测量。 计算机系统然后基于预计的操作度量测量值确定要在指定的未来时间点同时运行的多个云资源实例。