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公开(公告)号：US20210397466A1
公开(公告)日：2021-12-23
申请号：US16908083
申请日：2020-06-22
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Bret Alan McKee , Peter Erik Mellquist , Frederick Miles Roeling
Abstract: Embodiments described herein are generally directed to a controller of a managed container service that facilitates selection among bare metal machines available within a private cloud. According to an example, a request is received by a Container-as-a-Service controller from a CaaS portal to create a cluster based at least in part on resources of a private cloud of a customer of a managed container service. An inventory of bare-metal machines available within the private cloud is received from a Bare-Metal-as-a-Service (BMaaS) provider associated with the private cloud. A particular bare metal machine is identified for the cluster by selecting among the available bare-metal machines based on cluster information associated with the request, the inventory, and a best fit algorithm configured in accordance with a policy established by the customer.
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公开(公告)号：US12001865B2
公开(公告)日：2024-06-04
申请号：US18188562
申请日：2023-03-23
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Bret Alan McKee , Peter Erik Mellquist , Frederick Miles Roeling
CPC classification number: G06F9/45541 , G06F9/44505 , G06F9/45558 , G06F9/5027 , H04L67/14 , H04L67/51 , G06F2009/45562 , G06F2009/4557 , G06F2209/505 , G06F2209/508
Abstract: Embodiments described herein are generally directed to a controller of a managed container service that facilitates selection among bare metal machines available within a private cloud. According to an example, a request is received by a Container-as-a-Service controller from a CaaS portal to create a cluster based at least in part on resources of a private cloud of a customer of a managed container service. An inventory of bare-metal machines available within the private cloud is received from a Bare-Metal-as-a-Service (BMaaS) provider associated with the private cloud. A particular bare metal machine is identified for the cluster by selecting among the available bare-metal machines based on cluster information associated with the request, the inventory, and a best fit algorithm configured in accordance with a policy established by the customer.
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公开(公告)号：US20210397465A1
公开(公告)日：2021-12-23
申请号：US16908042
申请日：2020-06-22
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Peter Erik Mellquist , Bret Alan McKee , Frederick Miles Roeling
Abstract: Embodiments described herein are generally directed to a controller of a managed container service that facilitates autoscaling based on bare metal machines available within a private cloud. According to an example, a CaaS controller of a managed container service monitors a metric of a cluster deployed on behalf of a customer within a container orchestration system. Responsive to a scaling event being identified for the cluster based on the monitoring and an autoscaling policy associated with the cluster, a BMaaS provider associated with the private cloud may be caused to create an inventory of bare-metal machines available within the private cloud. Finally, a bare metal machine is identified to be added to the cluster by selecting among the bare-metal machines based on the autoscaling policy, the inventory and a best fit algorithm configured in accordance with a policy established by or on behalf of the customer.
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公开(公告)号：US11989574B2
公开(公告)日：2024-05-21
申请号：US18355251
申请日：2023-07-19
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Peter Erik Mellquist , Bret Alan McKee , Frederick Miles Roeling
CPC classification number: G06F9/45541 , G06F9/5083
Abstract: Embodiments described herein are generally directed to a controller of a managed container service that facilitates autoscaling based on bare metal machines available within a private cloud. According to an example, a CaaS controller of a managed container service monitors a metric of a cluster deployed on behalf of a customer within a container orchestration system. Responsive to a scaling event being identified for the cluster based on the monitoring and an autoscaling policy associated with the cluster, a BMaaS provider associated with the private cloud may be caused to create an inventory of bare-metal machines available within the private cloud. Finally, a bare metal machine is identified to be added to the cluster by selecting among the bare-metal machines based on the autoscaling policy, the inventory and a best fit algorithm configured in accordance with a policy established by or on behalf of the customer.
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Patent Agency Ranking
公开(公告)号：US20220222095A1
公开(公告)日：2022-07-14
申请号：US17657180
申请日：2022-03-30
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Peter Erik Mellquist , Bret Alan McKee , Frederick Miles Roeling
Abstract: Embodiments described herein are generally directed to a controller of a managed container service that facilitates autoscaling based on bare metal machines available within a private cloud. According to an example, a CaaS controller of a managed container service monitors a metric of a cluster deployed on behalf of a customer within a container orchestration system. Responsive to a scaling event being identified for the cluster based on the monitoring and an autoscaling policy associated with the cluster, a BMaaS provider associated with the private cloud may be caused to create an inventory of bare-metal machines available within the private cloud. Finally, a bare metal machine is identified to be added to the cluster by selecting among the bare-metal machines based on the autoscaling policy, the inventory and a best fit algorithm configured in accordance with a policy established by or on behalf of the customer.
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公开(公告)号：US11301276B2
公开(公告)日：2022-04-12
申请号：US16908042
申请日：2020-06-22
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Peter Erik Mellquist , Bret Alan McKee , Frederick Miles Roeling
Abstract: Embodiments described herein are generally directed to a controller of a managed container service that facilitates autoscaling based on bare metal machines available within a private cloud. According to an example, a CaaS controller of a managed container service monitors a metric of a cluster deployed on behalf of a customer within a container orchestration system. Responsive to a scaling event being identified for the cluster based on the monitoring and an autoscaling policy associated with the cluster, a BMaaS provider associated with the private cloud may be caused to create an inventory of bare-metal machines available within the private cloud. Finally, a bare metal machine is identified to be added to the cluster by selecting among the bare-metal machines based on the autoscaling policy, the inventory and a best fit algorithm configured in accordance with a policy established by or on behalf of the customer.
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7.发明公开公开(公告)号：US20230359476A1
公开(公告)日：2023-11-09
申请号：US18355251
申请日：2023-07-19
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Peter Erik Mellquist , Bret Alan McKee , Frederick Miles Roeling
CPC classification number: G06F9/45541 , G06F9/5083
Abstract: Embodiments described herein are generally directed to a controller of a managed container service that facilitates autoscaling based on bare metal machines available within a private cloud. According to an example, a CaaS controller of a managed container service monitors a metric of a cluster deployed on behalf of a customer within a container orchestration system. Responsive to a scaling event being identified for the cluster based on the monitoring and an autoscaling policy associated with the cluster, a BMaaS provider associated with the private cloud may be caused to create an inventory of bare-metal machines available within the private cloud. Finally, a bare metal machine is identified to be added to the cluster by selecting among the bare-metal machines based on the autoscaling policy, the inventory and a best fit algorithm configured in accordance with a policy established by or on behalf of the customer.
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公开(公告)号：US20230229467A1
公开(公告)日：2023-07-20
申请号：US18188562
申请日：2023-03-23
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Bret Alan McKee , Peter Erik Mellquist , Frederick Miles Roeling
IPC: G06F9/455
CPC classification number: G06F9/45541 , G06F9/45558 , G06F2009/4557 , G06F2009/45562
Abstract: Embodiments described herein are generally directed to a controller of a managed container service that facilitates selection among bare metal machines available within a private cloud. According to an example, a request is received by a Container-as-a-Service controller from a CaaS portal to create a cluster based at least in part on resources of a private cloud of a customer of a managed container service. An inventory of bare-metal machines available within the private cloud is received from a Bare-Metal-as-a-Service (BMaaS) provider associated with the private cloud. A particular bare metal machine is identified for the cluster by selecting among the available bare-metal machines based on cluster information associated with the request, the inventory, and a best fit algorithm configured in accordance with a policy established by the customer.
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公开(公告)号：US11625256B2
公开(公告)日：2023-04-11
申请号：US16908083
申请日：2020-06-22
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Bret Alan McKee , Peter Erik Mellquist , Frederick Miles Roeling
Abstract: Embodiments described herein are generally directed to a controller of a managed container service that facilitates selection among bare metal machines available within a private cloud. According to an example, a request is received by a Container-as-a-Service controller from a CaaS portal to create a cluster based at least in part on resources of a private cloud of a customer of a managed container service. An inventory of bare-metal machines available within the private cloud is received from a Bare-Metal-as-a-Service (BMaaS) provider associated with the private cloud. A particular bare metal machine is identified for the cluster by selecting among the available bare-metal machines based on cluster information associated with the request, the inventory, and a best fit algorithm configured in accordance with a policy established by the customer.
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