发明名称 On-Demand Access to Compute Resources
摘要 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.
申请公布号 US2015326500(A1) 申请公布日期 2015.11.12
申请号 US201514791873 申请日期 2015.07.06
申请人 Adaptive Computing Enterprises, Inc. 发明人 JACKSON David Brian
分类号 H04L12/911;H04L29/08 主分类号 H04L12/911
代理机构 代理人
主权项 1. A method comprising: based on a detected event associated with a local compute environment, wherein the local compute environment is separate from a remote compute environment, receiving information about the local compute environment at the remote compute environment; receiving a request for resources in the remote compute environment, wherein a specification of resources is associated with the request, the specification of resources being one of fully explicit, partially explicit, fully implicit based on workload, and based on a virtual private cluster package concept where the virtual private cluster package can include aspects of provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments; based on the information and the specification of resources, reserving compute resources in the remote compute environment for a specific workload, to yield reserved compute resources, and wherein the reserved compute resources comprise at least one processor; provisioning the reserved compute resources within the remote compute environment such that a configuration of the remote compute environment substantially duplicates a configuration of the local compute environment; and receiving the specific workload from the local compute environment to the reserved compute resources in the remote compute environment such that the specific workload consumes the reserved compute resources.
地址 Provo UT US