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公开(公告)号：US20110179132A1
公开(公告)日：2011-07-21
申请号：US12696619
申请日：2010-01-29
IPC分类号： G06F15/173 , G06F9/455 , G06F15/167
CPC分类号： G06F9/5077 , G06F9/45558 , H04L12/1822 , H04L29/06 , H04L29/08072 , H04L29/0809
摘要： Systems and methods to manage workloads and hardware resources in a data center or cloud. In one embodiment, a method includes a data center having a plurality of servers in a network. The data center provides a virtual machine for each of a plurality of users, each virtual machine to use a portion of hardware resources of the data center. The hardware resources include storage and processing resources distributed onto each of the plurality of servers. The method further includes sending messages amongst the servers, some of the messages being sent from a server including status information regarding a hardware resource utilization status of that server. The method further includes detecting a request from the virtual machine to handle a workload requiring increased use of the hardware resources, and provisioning the servers to temporarily allocate additional resources to the virtual machine, wherein the provisioning is based on status information provided by one or more of the messages.
摘要翻译： 管理数据中心或云中的工作负载和硬件资源的系统和方法。 在一个实施例中，一种方法包括具有网络中的多个服务器的数据中心。 数据中心为多个用户中的每一个提供虚拟机，每个虚拟机使用数据中心的一部分硬件资源。 硬件资源包括分布在多个服务器中的每一个上的存储和处理资源。 该方法还包括在服务器之间发送消息，一些消息从服务器发送，包括关于该服务器的硬件资源利用状态的状态信息。 该方法还包括检测来自虚拟机的请求以处理需要更多使用硬件资源的工作负载，以及提供服务器以临时分配额外的资源给虚拟机，其中所述供应基于由一个或多个 的消息。
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公开(公告)号：US20110179162A1
公开(公告)日：2011-07-21
申请号：US12696334
申请日：2010-01-29
IPC分类号： G06F9/50 , G06F15/173 , G06F12/08
CPC分类号： G06F9/5077 , G06F9/45558 , H04L12/1822 , H04L29/06 , H04L29/08072 , H04L29/0809
摘要： Systems and methods to manage workloads and hardware resources in a data center or cloud. In one embodiment, a method includes a data center having a plurality of servers in a network. The data center provides a virtual machine for each of a plurality of users, each virtual machine to use a portion of hardware resources of the data center. The hardware resources include storage and processing resources distributed onto each of the plurality of servers. The method further includes sending messages amongst the servers, some of the messages being sent from a server including status information regarding a hardware resource utilization status of that server. The method further includes detecting a request from the virtual machine to handle a workload requiring increased use of the hardware resources, and provisioning the servers to temporarily allocate additional resources to the virtual machine, wherein the provisioning is based on status information provided by one or more of the messages.
摘要翻译： 管理数据中心或云中的工作负载和硬件资源的系统和方法。 在一个实施例中，一种方法包括具有网络中的多个服务器的数据中心。 数据中心为多个用户中的每一个提供虚拟机，每个虚拟机使用数据中心的一部分硬件资源。 硬件资源包括分布在多个服务器中的每一个上的存储和处理资源。 该方法还包括在服务器之间发送消息，一些消息从服务器发送，包括关于该服务器的硬件资源利用状态的状态信息。 该方法还包括检测来自虚拟机的请求以处理需要更多使用硬件资源的工作负载，以及提供服务器以临时分配额外的资源给虚拟机，其中所述供应基于由一个或多个 的消息。
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3.发明申请Managing Hardware Resources by Sending Messages Amongst Servers in a Data Center 有权通过在数据中心中的服务器之间发送消息来管理硬件资源公开(公告)号：US20110179134A1
公开(公告)日：2011-07-21
申请号：US12696802
申请日：2010-01-29
IPC分类号： G06F15/167 , G06F15/173
CPC分类号： G06F9/5077 , G06F9/45558 , H04L12/1822 , H04L29/06 , H04L29/08072 , H04L29/0809
摘要： Systems and methods to manage workloads and hardware resources in a data center or cloud. In one embodiment, a method includes a data center having a plurality of servers in a network. The data center provides a virtual machine for each of a plurality of users, each virtual machine to use a portion of hardware resources of the data center. The hardware resources include storage and processing resources distributed onto each of the plurality of servers. The method further includes sending messages amongst the servers, some of the messages being sent from a server including status information regarding a hardware resource utilization status of that server. The method further includes detecting a request from the virtual machine to handle a workload requiring increased use of the hardware resources, and provisioning the servers to temporarily allocate additional resources to the virtual machine, wherein the provisioning is based on status information provided by one or more of the messages.
摘要翻译： 管理数据中心或云中的工作负载和硬件资源的系统和方法。 在一个实施例中，一种方法包括具有网络中的多个服务器的数据中心。 数据中心为多个用户中的每一个提供虚拟机，每个虚拟机使用数据中心的一部分硬件资源。 硬件资源包括分布在多个服务器中的每一个上的存储和处理资源。 该方法还包括在服务器之间发送消息，一些消息从服务器发送，包括关于该服务器的硬件资源利用状态的状态信息。 该方法还包括检测来自虚拟机的请求以处理需要更多使用硬件资源的工作负载，以及提供服务器以临时分配额外的资源给虚拟机，其中所述供应基于由一个或多个 的消息。
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公开(公告)号：US20120233626A1
公开(公告)日：2012-09-13
申请号：US13046647
申请日：2011-03-11
申请人： Jason A. Hoffman , James Duncan , Mark G. Mayo , David P. Young
发明人： Jason A. Hoffman , James Duncan , Mark G. Mayo , David P. Young
IPC分类号： G06F9/46
CPC分类号： G06F9/455 , G06F9/5072 , G06F9/5083
摘要： Systems, methods, and media for transparently optimizing a workload of a containment abstraction are provided herein. Methods may include monitoring a workload of the containment abstraction, the containment abstraction being at least partially hardware bound, the workload corresponding to resource utilization of the containment abstraction, converting the containment abstraction from being at least partially hardware bound to being entirely central processing unit (CPU) bound by placing the containment abstraction in a memory store, based upon the workload, and allocating the workload of the containment abstraction across at least a portion of a data center to optimize the workload of the containment abstraction.
摘要翻译： 这里提供了用于透明地优化容纳抽象的工作负载的系统，方法和媒体。 方法可以包括监视容纳抽象的工作负载，至少部分硬件绑定的容纳抽象，与容纳抽象的资源利用相对应的工作负载，将包含抽象从至少部分硬件转换为完全中央处理单元（ CPU），通过基于工作负载将容纳抽象放置在存储器存储中，并且在数据中心的至少一部分上分配容纳抽象的工作负载以优化容纳抽象的工作负载。
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公开(公告)号：US20130346974A1
公开(公告)日：2013-12-26
申请号：US13963980
申请日：2013-08-09
申请人： Jason A. Hoffman , James Duncan , Mark G. Mayo , David P. Young
发明人： Jason A. Hoffman , James Duncan , Mark G. Mayo , David P. Young
IPC分类号： G06F9/455
CPC分类号： G06F9/455 , G06F9/5072 , G06F9/5083
摘要： Systems, methods, and media for transparently optimizing a workload of a containment abstraction are provided herein. Methods may include monitoring a workload of the containment abstraction, the containment abstraction being at least partially hardware bound, the workload corresponding to resource utilization of the containment abstraction, converting the containment abstraction from being at least partially hardware bound to being entirely central processing unit (CPU) bound by placing the containment abstraction in a memory store, based upon the workload, and allocating the workload of the containment abstraction across at least a portion of a data center to optimize the workload of the containment abstraction.
摘要翻译： 这里提供了用于透明地优化容纳抽象的工作负载的系统，方法和媒体。 方法可以包括监视容纳抽象的工作负载，至少部分硬件绑定的容纳抽象，与容纳抽象的资源利用相对应的工作负载，将包含抽象从至少部分硬件转换为完全中央处理单元（ CPU），通过基于工作负载将容纳抽象放置在存储器存储中，并且在数据中心的至少一部分上分配容纳抽象的工作负载以优化容纳抽象的工作负载。
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公开(公告)号：US08555276B2
公开(公告)日：2013-10-08
申请号：US13046647
申请日：2011-03-11
申请人： Jason A. Hoffman , James Duncan , Mark G. Mayo , David P. Young
发明人： Jason A. Hoffman , James Duncan , Mark G. Mayo , David P. Young
IPC分类号： G06F9/45 , G06F9/455 , G06F15/16 , G06F15/173
CPC分类号： G06F9/455 , G06F9/5072 , G06F9/5083
摘要： Systems, methods, and media for transparently optimizing a workload of a containment abstraction are provided herein. Methods may include monitoring a workload of the containment abstraction, the containment abstraction being at least partially hardware bound, the workload corresponding to resource utilization of the containment abstraction, converting the containment abstraction from being at least partially hardware bound to being entirely central processing unit (CPU) bound by placing the containment abstraction in a memory store, based upon the workload, and allocating the workload of the containment abstraction across at least a portion of a data center to optimize the workload of the containment abstraction.
摘要翻译： 这里提供了用于透明地优化容纳抽象的工作负载的系统，方法和媒体。 方法可以包括监视容纳抽象的工作负载，至少部分硬件绑定的容纳抽象，与容纳抽象的资源利用相对应的工作负载，将包含抽象从至少部分硬件转换为完全中央处理单元（ CPU），通过基于工作负载将容纳抽象放置在存储器存储中，并且在数据中心的至少一部分上分配容纳抽象的工作负载以优化容纳抽象的工作负载。
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公开(公告)号：US08789050B2
公开(公告)日：2014-07-22
申请号：US13963980
申请日：2013-08-09
申请人： Jason A. Hoffman , James Duncan , Mark G. Mayo , David P. Young
发明人： Jason A. Hoffman , James Duncan , Mark G. Mayo , David P. Young
IPC分类号： G06F9/45 , G06F9/455 , G06F15/16 , G06F15/173
CPC分类号： G06F9/455 , G06F9/5072 , G06F9/5083
摘要： Systems, methods, and media for transparently optimizing a workload of a containment abstraction are provided herein. Methods may include monitoring a workload of the containment abstraction, the containment abstraction being at least partially hardware bound, the workload corresponding to resource utilization of the containment abstraction, converting the containment abstraction from being at least partially hardware bound to being entirely central processing unit (CPU) bound by placing the containment abstraction in a memory store, based upon the workload, and allocating the workload of the containment abstraction across at least a portion of a data center to optimize the workload of the containment abstraction.
摘要翻译： 这里提供了用于透明地优化容纳抽象的工作负载的系统，方法和媒体。 方法可以包括监视容纳抽象的工作负载，至少部分硬件绑定的容纳抽象，与容纳抽象的资源利用相对应的工作负载，将包含抽象从至少部分硬件转换为完全中央处理单元（ CPU），通过基于工作负载将容纳抽象放置在存储器存储中，并且在数据中心的至少一部分上分配容纳抽象的工作负载以优化容纳抽象的工作负载。
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8.发明申请公开(公告)号：US20120233315A1
公开(公告)日：2012-09-13
申请号：US13046660
申请日：2011-03-11
申请人： Jason A. Hoffman , James Duncan , Mark G. Mayo , David P. Young
发明人： Jason A. Hoffman , James Duncan , Mark G. Mayo , David P. Young
IPC分类号： G06F15/173
CPC分类号： G06F9/5072
摘要： Systems and methods for sizing resources in a cloud-based environment are provided. In an exemplary embodiment, a method includes receiving quality of service requirements and a functional description of a cloud architecture associated with the application, including application resources and relations between the application resources, performing latency analysis of data packets in a compute layer of the cloud architecture, with the latency analysis including comparing size per time metrics of the data packets, determining minimal resources to guarantee the quality of service requirements based on the latency analysis and the quality of service requirements, and providing to the data center the minimal resources.
摘要翻译： 提供了在基于云的环境中调整资源大小的系统和方法。 在示例性实施例中，一种方法包括接收服务质量要求和与应用相关联的云架构的功能描述，包括应用资源和应用资源之间的关系，在云架构的计算层中执行数据分组的等待时间分析 延迟分析包括比较数据分组的每个时间度量的大小，基于延迟分析和服务质量要求确定最小资源以保证服务质量要求，并向数据中心提供最少的资源。
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