On-Demand Access to Compute Resources
    1.
    发明申请
    On-Demand Access to Compute Resources 审中-公开
    按需访问计算资源

    公开(公告)号:US20150326500A1

    公开(公告)日:2015-11-12

    申请号:US14791873

    申请日:2015-07-06

    Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment. The event can be a threshold or a triggering event within or outside of the local environment.

    Abstract translation: 公开了用于控制和管理按需中心内的资源的识别和供应的系统,方法和计算机可读介质,以及将工作量转移到所提供的资源。 一个方面涉及在本地环境中针对特定工作负载的按需中心创建虚拟专用群集。 在本地计算环境和按需环境之间管理资源的方法包括:检测与本地计算环境相关联的事件,并且基于检测到的事件,识别关于本地环境的信息,建立与按需计算环境的通信,以及 将关于本地环境的信息传输到按需计算环境,在按需计算环境内供应资源以基本上复制本地环境并将工作负载从本地环境传输到按需计算环境。 事件可以是本地环境内外的阈值或触发事件。

    SYSTEM AND METHOD OF MANAGING JOB PREEMPTION
    2.
    发明申请
    SYSTEM AND METHOD OF MANAGING JOB PREEMPTION 审中-公开
    管理工作预算的系统和方法

    公开(公告)号:US20130312006A1

    公开(公告)日:2013-11-21

    申请号:US13949845

    申请日:2013-07-24

    Abstract: Disclosed are methods for estimating a time associated with shifting a first workload from a first compute environment to a second compute environment, separate from the first compute environment, estimating a likelihood of success associated with a likelihood that the first workload could successfully be shifted to the second compute environment, dividing or using the likelihood of success by the time to yield or produce a risk-adjusted shift time and, when a comparison of the shift time is longer than a maximum acceptable wait time, proceeding with a first operation associated with how to preempt the first workload by the second workload.

    Abstract translation: 公开了用于估计与将第一工作负载从第一计算环境移动到与第一计算环境分离的第二计算环境相关联的时间的方法,估计与第一工作负载可以成功地移动到 第二计算环境,划分或使用成功的可能性到时间来产生或产生风险调整的移位时间,并且当移位时间的比较长于最大可接受的等待时间时,进行与如何相关联的第一操作 以第二个工作负载来抢占第一个工作负载。

    SYSTEM AND METHOD FOR MANAGING A HYBRID COMPUTE ENVIRONMENT

    公开(公告)号:US20150378790A1

    公开(公告)日:2015-12-31

    申请号:US14833673

    申请日:2015-08-24

    CPC classification number: G06F9/5077 G06F9/5083

    Abstract: Disclosed are systems, hybrid compute environments, methods and computer-readable media for dynamically provisioning nodes for a workload. In the hybrid compute environment, each node communicates with a first resource manager associated with the first operating system and a second resource manager associated with a second operating system. The method includes receiving an instruction to provision at least one node in the hybrid compute environment from the first operating system to the second operating system, after provisioning the second operating system, pooling at least one signal from the resource manager associated with the at least one node, processing at least one signal from the second resource manager associated with the at least one node and consuming resources associated with the at least one node having the second operating system provisioned thereon.

    SYSTEM AND METHOD OF PROVIDING A SELF-OPTIMIZING RESERVATION IN SPACE OF COMPUTE RESOURCES
    4.
    发明申请
    SYSTEM AND METHOD OF PROVIDING A SELF-OPTIMIZING RESERVATION IN SPACE OF COMPUTE RESOURCES 有权
    在计算机资源空间中提供自优化预留的系统和方法

    公开(公告)号:US20160170806A1

    公开(公告)日:2016-06-16

    申请号:US15049542

    申请日:2016-02-22

    Abstract: A system and method of dynamically controlling a reservation of compute resources within a compute environment is disclosed. The method aspect of the invention comprises receiving a request from a requestor for a reservation of resources within the compute environment, reserving a first group of resources, evaluating resources within the compute environment to determine if a more efficient use of the compute environment is available and if a more efficient use of the compute environment is available, then canceling the reservation for the first group of resources and reserving a second group of resources of the compute environment according to the evaluation.

    Abstract translation: 公开了一种在计算环境内动态控制计算资源的预留的系统和方法。 本发明的方法方面包括从请求者接收对计算环境内的资源的预留的请求,保留第一组资源,评估计算环境内的资源以确定计算环境的更有效使用是否可用;以及 如果可以更有效地使用计算环境,则根据评估取消第一组资源的预留和预留计算环境的第二组资源。

    SYSTEM AND METHOD FOR MANAGING A HYBRID COMPUTE ENVIRONMENT

    公开(公告)号:US20150033241A1

    公开(公告)日:2015-01-29

    申请号:US14513589

    申请日:2014-10-14

    CPC classification number: G06F9/5077 G06F9/5083

    Abstract: Disclosed are systems, hybrid compute environments, methods and computer-readable media for dynamically provisioning nodes for a workload. In the hybrid compute environment, each node communicates with a first resource manager associated with the first operating system and a second resource manager associated with a second operating system. The method includes receiving an instruction to provision at least one node in the hybrid compute environment from the first operating system to the second operating system, after provisioning the second operating system, pooling at least one signal from the resource manager associated with the at least one node, processing at least one signal from the second resource manager associated with the at least one node and consuming resources associated with the at least one node having the second operating system provisioned thereon.

    SYSTEM AND METHOD PROVIDING A VIRTUAL PRIVATE CLUSTER
    8.
    发明申请
    SYSTEM AND METHOD PROVIDING A VIRTUAL PRIVATE CLUSTER 有权
    提供虚拟私有聚类的系统和方法

    公开(公告)号:US20150236972A1

    公开(公告)日:2015-08-20

    申请号:US14703990

    申请日:2015-05-05

    Abstract: The present invention provides a system, method and computer-readable media for generating virtual private clusters out of a group of compute resources. Typically, the group of compute resources involves a group of clusters independently administered. The method provides for aggregating the group of compute resources, partitioning the aggregated group of compute resources and presenting to each user in an organization a partition representation the organization's virtual private cluster. The users transparently view their cluster and have control over its operation. The partitions may be static or dynamic.

    Abstract translation: 本发明提供一种用于从一组计算资源生成虚拟专用集群的系统,方法和计算机可读介质。 通常,计算资源组涉及一组独立管理的集群。 该方法提供聚集计算资源组,对聚合的计算资源组进行分区,并向组织中的每个用户呈现组织的虚拟专用集群的分区表示。 用户透明地查看其集群并控制其操作。 分区可能是静态或动态的。

    SIMPLE INTEGRATION OF AN ON-DEMAND COMPUTE ENVIRONMENT
    9.
    发明申请
    SIMPLE INTEGRATION OF AN ON-DEMAND COMPUTE ENVIRONMENT 审中-公开
    简单的整合一个需求的计算机环境

    公开(公告)号:US20160119245A1

    公开(公告)日:2016-04-28

    申请号:US14987059

    申请日:2016-01-04

    Abstract: Disclosed are a system and method of integrating an on-demand compute environment into a local compute environment. The method includes receiving a request from an administrator to integrate an on-demand compute environment into a local compute environment and, in response to the request, automatically integrating local compute environment information with on-demand compute environment information to make available resources from the on-demand compute environment to requestors of resources in the local compute environment such that policies of the local environment are maintained for workload that consumes on-demand compute resources.

    Abstract translation: 公开了将按需计算环境集成到本地计算环境中的系统和方法。 该方法包括接收来自管理员的请求以将按需计算环境集成到本地计算环境中,并且响应于该请求,将本地计算环境信息与按需计算环境信息自动集成以从可用资源 将本地计算环境中的资源的请求者计算环境,以便为消耗按需计算资源的工作负载维护本地环境的策略。

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